Link-Disjoint Paths for Reliable QoS Routing

Size: px
Start display at page:

Download "Link-Disjoint Paths for Reliable QoS Routing"

Transcription

1 Link-Disjoint Pths or Rlil QoS Routing Yuhun Guo, Frnno Kuiprs n Pit Vn Mighm # Shool o Eltril n Inormtion Enginring, Northrn Jiotong Univrsity, Bijing, 000, P.R. Chin Fulty o Inormtion Thnology n Systms, Dlt Univrsity o Thnology, P.O. Box 0, 600 GA Dlt, Th Nthrlns Astrt: Th prolm o ining link/no-isjoint pths twn pir o nos in ntwork hs riv muh ttntion in th pst. This prolm is irly wll unrstoo whn th links in ntwork r only spii y singl link wight. Howvr, in th ontxt o Qulity o Srvi routing, links r spii y multipl link wights n rstrit y multipl onstrints. Unortuntly, th prolm o ining link/no isjoint pths in multipl imnsions s irnt onptul prolms. This ppr prsnts irst stp to unrstning ths onptul prolms in link-isjoint Qulity o Srvi routing n proposs huristi link-isjoint QoS lgorithm tht irumvnts ths prolms. Introution Th prolm o ining isjoint pths in ntwork hs n givn muh ttntion in th litrtur u to its thortil s wll s prtil signiin to mny pplitions, suh s lyout sign o intgrt iruits, survivl sign o tlommunition ntworks n rstorl/rlil routing. Pths twn givn pir o sour n stintion nos in ntwork r ll link isjoint i thy hv no ommon (i.. ovrlpping) links, n no isjoint i, sis th sour n stintion nos, thy hv no ommon nos. With th vlopmnt o optil ntworks n th ploymnt o MPLS or GMPLS ntworks, th isjoint pths prolm is riving rnw intrst s st rstortion tr ntwork ilur is ruil in suh kin o ntworks. In roust ommunition ntworks, onntion usully onsists o two link- or no-isjoint pths: on tiv pth, n on kup pth. A srvi low will rirt to th kup pth i th tiv pth ils. Lo lning, nothr importnt spt or ommunition ntworks to voi ntwork ongstion n optimiz ntwork throughput, lso rquirs isjoint pths to istriut lows. Roustnss n lo lning r, mong othrs, oth spts o Qulity o Srvi (QoS) routing. In this ppr w will ous on ining QoS-wr link-isjoint pths. In gnrl link-isjoint pths lgorithm n xtn to no-isjoint lgorithm with th onpt o no splitting, i.. rpling on no with two nos tht r link togthr y link with zro wights [6]. Throughout this ppr, w us th ollowing nottion. A ntwork is not y irt grph G(V,E), whr V is th st o nos n E is th st o links. A irt link rom no u to no v is rprsnt s u v, u, v V. Eh link is hrtriz y link wight vtor w r onsisting o M link mtris w m (u v), or m =,, M. W ssum tht only nonngtiv link mtris r ssign to h link. Howvr, in th pross o omputing isjoint pths, ngtiv link # Corrsponing uthor Th rsrh or this ppr ws onut whn Y. Guo ws visiting sintist t Dlt Univrsity o Thnology, sponsor y NUFFIC (Nthrlns orgniztion or ooprtion in highr ution) n CSC (Chins sholrship ounil).

2 wights my ssign to links. QoS mtris n ) itiv,.g. ly, jittr, in whih s th pth-wight vtor onsists o summing th link-wight vtors o th links ining th pth, ) multiplitiv,.g., on minus th pkt loss proility, whih n onsir s itiv tr tking th logrithm n ) min-mx,.g. nwith, n poliy lgs, in whih s th minimum (or mximum) link wight ins th wight o pth. Min/mx links tht o not oy th onstrints n prun rom th topology, whih is ll topology iltring. Aitiv mtris us mor iiultis n thror without loss o gnrlity, w ssum ll mtris to itiv [9]. In th ontxt o QoS routing or multi-onstrin routing, pth is ll sil whn its wight vtor os not violt th onstrints spii y th vtor L r. Sin w minly ous on ining link-isjoint pths, pth P, twn sour s n stintion t is onsir to st o links tht ompos this pth. With slight us o nottion, w hoos P to not th pth s wll s its link st. I pth P is link-isjoint with P, thr is no ommon link lmnt in th link st rprsnting h pth n P I =, ls P I. P P Dinition o pth lngth: Givn grph G(V,E) with M mtris pr link, th non-linr lngth o pth P rom sour no s to stintion no t is in s []: wm ( P) l( P) = mx ( ) () m=, K, M L whr w m (P) = (u v) P w m (u v). Th normliztion in () y th onstrints L r srtins tht i l(p)>, thn on o th onstrints hs n violt. For M =, th non-linr lngth o pth s in in () rus to linr on, n th link wight vtor w r rus to slr w(u v). Whn no onstrint is rquir, s in th LPP prolm stt low, th linr lngth o pth is omput s (u v) P w(u v), i.. L =. For simpliity o rprsnttion, th ov nottion o pth lngth l(p) is still us. I pth P is link-isjoint with P, i.. P I =, w hv l P U P ) = l( P ) + l( ) or M =. But or M > P m ( P, w hv l P U P ) l( P ) + l( ). Our trgt in this ppr is to in st o two link-isjoint pths tht oth ( P oy multipl onstnts. W in th totl lngth o two pths s or M. l P ) + l( ) () ( P Link-isjoint Pth Pir (LPP) Prolm. Givn grph G(V,E) with mtri pr link (M = ), or sourstintion pir (s,t), in st o two pths P n P, suh tht P I P =, n th totl lngth l(p ) + l(p ) is minimiz. Th LPP prolm n solv in polynomil tim [][][6]. Multipl Constrin Pth (MCP) Prolm. Givn grph G(V,E) with M > mtris pr link n onstrint vtor L r, or sour-stintion pir (s, t), in pth tht oys th onstrint vtor L r,

3 whr w ( P), or m =,, M, m L m w ( P) = w ( u v), or m =,, M. m m u v E Th MCP prolm is NP-omplt [8][0]. Multipl Constrin Link-isjoint Pth Pir (MCLPP) Prolm. Givn grph G(V,E) with M > mtris pr link n onstrint vtor L r, or sour-stintion pir (s, t), in pir o link-isjoint pths P n P, suh tht P I =, n oth pths oy th onstrint vtor L r. P Thorm. MCLPP is NP-omplt. S 0 i i+ S- i i Figur. Th ssignmnt o link wights to th links in th hin topology twn nos i n i+ Proo: Givn hin topology with n+ nos n n links, h with two-omponnt wight vtor s pit in Figur n st o numrs i A, 0 i S, or i=,...,n, whr S = hosn s ollows: L = ns-(s/), n L =(S/). n i i=. Th onstrints r To solv th MCLPP prolm, w n to in two pths P n P rom no to no n+ tht oy th onstrints. Sin, or ll link wight vtors, th sum o th omponnts quls S, w hv tht w (P)+w (P)=nS n w (P )+w (P )=ns. Aoringly, solution stisying th onstrints is only oun i w (P n P )=ns-(s/) n w (P n P )=(S/). Th prolm hs now om n instn o th wll-known NP-omplt prtition prolm [8] n n only solv y ining th st A A, or whih i =(S/). A sil pth P xists i A' th st A xists. A sil pth P onsists o th lowr link i i A n th uppr link i i A. Th pth P thn ollows th rmining links. i In this ppr w ous on solving th MCLPP prolm. Rlt work on ining isjoint pths in on imnsion twn sour n stintion will rviw in Stion n simpl link-isjoint lgorithm LBA will xplin in Stion. In Stion n xtnsion o LBA to multipl imnsions is isuss n shown to iiult. Thror, huristi lgorithm DIMCRA or solving th MCLPP prolm is propos in Stion. W onlu this rtil in Stion 6.

4 Rlt work. Link-isjoint Pths Routing in On Dimnsion An intuitiv mtho to trmin two shortst link-isjoint pths twn pir o sour n stintion nos onsists o two stps. Th irst stp rtrivs th shortst pth twn givn pir o nos in grph. Th son stp is to rmov ll th links o tht pth rom th grph, n to in th shortst pth in th prun grph. W will rr to this mtho s th Rmov-Fin (RF) mtho. Although th RF mtho is irt n simpl, it hs t lst two isvntgs u to th rmovl o links longing to th irst shortst pth: () provi tht two link-isjoint pths xist, thr is no gurnt tht thy will oun s illustrt in Stion. n () th son link-isjoint shortst pth my hv signiintly lrgr lngth. To surmount th isvntgs o th RF mtho, othr mthos hv n vis to in pir o shortst link-isjoint pths with miniml totl lngth [][][][9][][][6][]. In [], Suurll proposs n lgorithm, rrr to s Suurll s lgorithm, to in K no-isjoint pths with miniml totl lngth using th pth ugmnttion mtho. Th pth ugmnttion mtho is originlly us to inrs th siz o mthing with n ugmnting pth [6] n to in mximum low or minimum ost low in ntwork [7][]. Th prolm to in link/no isjoint pths n viw s spil s o th minimum ost low prolm s monstrt in [][][6]. Th si i o Suurll s lgorithm is to onstrut solution st o two isjoint pths s on th shortst pth n shortst ugmnting pth. K isjoint pths n otin y ugmnting th K- optiml isjoint pths with this lgorithm. In 98, Suurll n Trjn [6] improv Suurll s lgorithm suh tht pirs o link-isjoint pths rom on sour no to n stintion nos oul iintly otin in singl Dijkstr-lik omputtion. This lgorithm is rrr to s th S-T lgorithm. To in n pirs o isjoint pths, th S-T lgorithm rquirs O( E log( + E / n) n) tim n Suurll s lgorithm O ( n log n), whr n is th numr o stintion nos n E is th numr o links. Kr t l. [] n Koilm n Lkshmn [][] inorport th S-T lgorithm into thir lgorithms to in pir o link-isjoint pths srving s tiv n kup pths or routing nwith gurnt onntions. Ling [7] xtn th S-T lgorithm to in two link-isjoint pths twn pir o nos with optimiztion in oth ntwork lo n routing ost. In 99, Bhnri [] propos n lgorithm to in pir o spn-isjoint pths twn two nos in optil-ir ntworks. Th isjoint pths lgorithm us y Bhnri is moii vrsion o Suurll s lgorithm [] tht rquirs spil link wight trnsormtion to ilitt th us o Dijkstr s. Bhnri m simpliition to Suurll s lgorithm y irtly stting ll th link wights on th irst shortst pth ngtiv. Shikh [] m n xtnsion to Bhnri s lgorithm [] to solv th spn-isjoint pths prolm in mor omplit strutur optil ntworks. It is prov in [6][] tht th LPP prolm will NP-omplt i it is rquir tht th mximl lngth o th two isjoint pths, i.. mx(l(p ), l(p )), is minimiz. In ition, Ho n Mouth [0] propos nothr optiml ojt untion α l(p ) + l(p ), whr P n P r th tiv pth n th kup pth, rsptivly. Th prmtr α n st lrg or shr prottion shm (:N or M:N) n oul s smll s unity or it prottion shm (:). Whn α =, it rus to th ojt untion us in [][][6].

5 Huristi lgorithms s on mtrix lultion [8] or rursiv mtrix-lultion [0] to solv th K- shortst link-isjoint pths prolm with oun hopount hv n propos s wll. Thr r lso som lgorithms or ining K-st pths, i.. K isjoint or mximlly isjoint pths with minimum totl lngth twn pir o nos, in trllis grph [][]. An optiml lgorithm or ining K-st pths without hopount limittion twn pir o nos is givn y L n Wu in [], whr thy trnsr th K-st pths prolm into mximum ntwork low n minimum ost ntwork low lgorithm vi som moiitions to th originl grph. Distriut lgorithms or th link/no-isjoint pths lgorithms n oun in [][9][].. Disjoint Pths Routing in Multipl Dimnsions To th st o our knowlg thr is no litrtur on th MCLPP prolm. Rntly som pprs on isjoint pths in QoS routing hv mrg. Howvr, thy only onsir nwith n/or ly s thir QoS mtris [][][][9][8]. Th mximlly isjoint shortst n wist pths (MADSWIP) lgorithm rom Tt-Plotkin, t l. [7], involvs moii vrsion o th S-T lgorithm to in pir o isjoint pths. MADSWIP n prou pir o wist or shortst mximlly link-isjoint pths rom sour no to ll othr nos. Morovr it tris to in two pths simultnously to stisy th mximlly link-isjointnss to h othr in QoS routing ontxt. Howvr th link mtris us in thir lgorithm r nwith n ly, whr only th lttr mtri is itiv. Pth Augmnttion or Solving LPP In this stion w will prsnt simplii vrint o Bhnri s Algorithm [], rrr to s LBA (Link-isjoint vrsion o Bhnri s Algorithm), whih n prou n optiml solution or th LPP prolm. Th si stps o LBA r givn in Stion.. Th unmntl onpts o this lgorithm r isuss in Stion.. Th optimlity is prov in Stion. n in Stion., LBA is shown to loop-r.. Th stps o LBA Bhnri s lgorithm [] ws sign to in pir o spn-isjoint pths in n optil ntwork. W moiy Bhnri s lgorithm into link-isjoint pth pir lgorithm LBA y omitting th no-splitting oprtion tht nsurs th no-isjointnss n th grph trnsormtions tht nsur spn-isjointnss. Bor xplining th oprtion o LBA w irst introu som nottions tht will us urthr. I w rvrs th irtion n th sign o th link wights o h link on th pth P twn s n t, i.. w(v u) = w(u v), (u v) P, thn w will hv pth irt rom t to s, not y P, whih onsists o th rvrs P links. W in l( P ) = l(p ). A st, whih onsists o th P links whos rvrs links ppr on ~ P n vi vrs, is not s P I P = {( u v) n ( v u) ( u v) P n ( v u) }. In ll P th igurs, ol lins rprsnt links on th shortst pth(s) in grph or its orrsponing moii grph, sh lins rprsnt rvrs links whih o not xist in th originl grph n ol sh lins rprsnt suh rvrs links tht ppr on th shortst pth. Th stps o th LBA lgorithm r s ollows: With th inition o lngth in (), w hv l( P ) = l(p ) only or M =.

6 Givn irt grph G(V, E), or sour-stintion pir (s, t), Stp. Fin th shortst pth P rom no s to no t; Stp. Rpl P with P, moii grph G(V,E ) is rt; Stp. Fin shortst pth P rom no s to no t in th moii grph G(V,E ); i P os not xist, thn stop; Stp. Tk th union o P n P, rmov rom th union th link st whih onsists o th P links whos rvrs links ppr in P, n vi vrs, thn group th rmining links into two pths n, ~ i.. U = P U P ) \ ( P I ). ( P 6 6 () Stp () Stp 6 6 () Stp () Stp Figur. Exmpl o th oprtion o LBA W will xplin th stps o LBA with n xmpl in Figur. Suppos tht w r rquir to in st o two shortst isjoint pths twn n. In Stp, th shortst pth rom to is oun s P =, with minimum lngth. In Stp, moii grph G(V,E ) is rt y rvrsing th irtion n th sign o th wight o h link on P. For instn, th link with wight is rpl y th link with wight. ~ In Stp, th shortst pth in th moii grph P = hs lngth 6. In Stp, P I P ={, } is rmov rom th union P U P. Th solution st o isjoint pths { P, } ={, } is otin. Th totl lngth o this pth st quls + = 0, whih is xtly th miniml totl lngth o two link-isjoint pths in this grph. I thr xist mor thn on shortst pth in th originl grph or in th moii grph, ithr on o thm n hosn. Choosing irnt shortst pths my l to irnt solution sts. Howvr, ths solution sts will hv th sm minimum totl lngth. 6

7 6 6 () Stp () Stp Figur. Exmpl o th oprtion o RF () Stp () Stp Figur. Exmpl o th oprtion o RF For omprison, in Figur, w pply th RF mtho on th sm topology with th sm rquirmnts. In stp th shortst pth is rtriv. In stp, moii grph is rt y rmoving ll th links on Th shortst pth in th moii grph is with lngth. Thus th st {, } hs totl lngth + =, whih is longr thn 0 s oun with LBA. This xmpl illustrts tht th RF mtho nnot gurnt to in th optiml solution. Mor importnt, in th grph shown in Figur (), lthough thr xist two linkisjoint pths twn n, RF nnot in th son pth in stp s shown in Figur (). LBA, on th othr hn, still rturns th optiml st in this s.. LBA is Bs on th Shortst Pth In this sustion, w will lriy why th optiml solution st o LBA, s wll s othr pth ugmnttion lgorithms [,8,9], is s on th shortst pth. Although th thory prsnt hr is s on (or n riv rom) th thory o min-ost low [7][], it is instrutiv to giv n outlin. W will irst show tht th optiml st or th LPP prolm is s on th shortst pth. Sonly, w will show tht th optiml st o two link-isjoint pths hs th smllst irn in lngth rom th shortst pth mong ll th possil sts o link-isjoint pths. Finlly, w will show tht th logil irn st (in low) n viw s pth. Givn igrph G(V,E) n pir o sour-stintion nos (s, t), th rltion twn st o two linkisjoint pths {P, P } n th shortst pth P longs to on o th ollowing typs:. P itsl is P or P, i.. P = P or P = P ;. P ovrlps with oth pths P n P, i.. P I P, P P n P I P, P P ; 7

8 . P only ovrlps with on pth in th st {P, P }, ut not with th othr on, i.. P I P, P P n P I = (or P I P, P P n P I P = ); P. P is link-isjoint with oth pths in {P, P }, i.. P I ( P ) U P =. Lmm. Givn irt grph G(V, E) n sour-stintion pir (s, t), i th optiml st P, } o LPP { P xists, P U must ontin ithr th irst shortst pth P itsl or som P links on h o its two pths. Proo: I P U is o typ (), thn h pth in { P, P } is link-isjoint with P. As P is th shortst pth, oth P, } n P, } hv totl lngth shortr thn P, }. Hn th optiml st P, } nnot o { P { P { P { P typ () n P U must ontin som or ll P links to th optiml st. I P U is o typ (), only on pth in P U P ontins som P links, without loss o gnrlity, suppos ontins som P links, n th othr pth is link-isjoint with P, thn { P, P } is st whih is shortr thn P, }, Hn th optiml st P, } nnot o typ (). { P { P Thror, i th optiml st { P, } xists, P U must ithr o typ () or (). Proprty. Th optiml st P, } hs th smllst irn in lngth { P Y = l( ) + l( ) l( P ) 0 () rom th shortst pth P, mong ll th possil sts o link-isjoint pth pirs. In th st U U ( P ), th P links ontin in th st P U will orm loops with th P links. For xmpl, i P link u v is ontin in th st P U, thn it will rt loop with th link v u on P twn th nos u n v. Th lngth o this loop is zro us w(v u) = w(u v). Lt us not O l ~ = U ) I ( ), whih mns tht th st O l onsists o h P link in th union o P U P n its ( P orrsponing P link. W in th logil irn st twn P U n P s ( P U P = U U ) \O l. In t, l(o l ) = 0 us th st O l onsists o loops with zro lngth, h ) ( P onsisting o pir o opposit P n P links. With l( P )= l(p ), w hv l(( U ) P ) = l(( U ) U ( P )) l( Ol ) = l( ) + l( ) + l( P ) = l( ) + l( ) l( P ), Th logil irn st P P lso n omput s P P ={(u v) (u v) P \(P P )} U { (v u) (u v) P \(P P )}, whih mns tht i link u v o P os not ppr on P, thn this link longs to th irn st P P, n i link u v o P os not ppr on P, thn its irtion rvrs link v u longs to th irn st P P, with link wight w(v u) = w(u v). In st thory, th irn oprtion is in s P P = P \ (P P ), n th symmtri irn oprtion is in s P P = (P U P )\ (P P ). Th onpt o logil irn st in this ppr rsmls th symmtri irn st ut it is not th sm. 8

9 whih is xtly Y in (). Lmm shows tht th logil irn st orms th shortst pth in th moii grph whr P is rpl with P. Lmm. Givn irt grph G(V,E) n pir (s, t) n lt P th shortst pth in this grph. W in G(V,E ) s th grph G(V,E) or whih th pth P is rpl with P. Th logil irn st P U P twn th optiml st o two link-isjoint pths P, } n th shortst pth P orms th shortst pth P { P rom no s to no t in G(V,E ). Proo: W will irst prov tht P = U P is omplt pth rom s to t in G(V,E ), thn w will prov tht P is th shortst pth in G(V,E ). Prt A. From Lmm, th optiml st o two link-isjoint pths P U must ontin ithr th irst shortst pth P itsl or som P links on h o its two pths. I ( U ) P, without loss o gnrlity, suppos P = P, thn O l = P U ( P ). With th inition o logil irn st, w hv P = (( U ) U ( P )) \ Ol = ( P U U ( P )) \ ( P U ( P )) =. Hn P must omplt pth rom s to t. I P U ontins som P links on h o its two pths, s P is th pth rom t to s in G(V,E ), n nithr nor ontins ny P links, thn th union U U ( P ) ontins two yls: on yl onsists o n P, th othr onsists o n P. Whn th st O l is rmov rom th union st, th rmining links ompos th logil irn st P. Hn P must omplt pth rom s to t. Prt B. Assum tht th shortst pth in G(V,E ) is P P, thn w must hv l P ) < l( ). As ( P l( P ) = l( ) + l( ) l( P ) w hv lp ( ) + lp ( ) < lp ( ) + lp ( ), whih ontrits th ssumption tht { P, } is th optiml st.. LBA Is Loop-r Mny routing lgorithms ssum non-ngtiv link wights to voi loop o ngtiv lngth ppring on pth. Howvr, ngtiv link wights introu to grph in LBA will not us loops in th routing pross.... s v v i... v i+ v n t u i () Th shortst pth P (s,t)... s v v i... v i+ v n t u i () A loop ontining som P link Figur. A loop ontins som ngtiv link 9

10 Thorm : Givn igrph G(V,E) n sour-stintion pir (s, t) n lt P th shortst pth in this grph. Th moii grph G(V,E ) is in s th grph G(V,E) or whih P is rpl with P. A loop ontining som ngtiv link(s) in G(V,E ) will not hv ngtiv lngth. Proo: Assum sv... vi vi+... vnt is th shortst pth P rom no s to no t in G(V,E), s shown in Figur (). Th orrsponing pth P in G(V,E ) (Figur ()) hs link (v i+ v i ) whih pprs on loop P l = u i v i+ v i u i. Suppos th loop P l hs ngtiv lngth l(p l ) = w(u i v i+ ) + w(v i+ v i ) + w(v i u i ) < 0. Bus w(v i+ v i ) = w(v i v i+ ), w must hv w(v i u i ) + w(u i v i+ ) < w(v i v i+ ). Hn th su-pth sv... viuivi+ is shortr thn th su-pth sv... v v i i+. This ontrits th ssumption tht sv... v i v i+... v nt is th shortst pth.. Optimlity o th solution prou with LBA Thorm. Givn irt grph G(V,E) n sour-stintion pir (s,t), th lgorithm LBA rturns th optiml st or th LPP prolm. Proo: Lt P th shortst pth in th originl grph G(V,E) oun in stp o LBA n P th shortst pth in th moii grph G(V,E ), oun in stp o LBA. P, } is th solution st gnrt y LBA. Th proo { P onsists o thr prts. Prt A. (Proo o Link-isjointnss) By onstrution o th solution st, w must hv I P =. Prt B. (Proo o Miniml Totl Lngth) Suppos th optiml st o link-isjoint pths is P, } inst o { P P, }. Aoring to Lmm, th logil irn st o P, } with P is th shortst pth in th moii { P { P grph G(V,E ). This ontrits tht P is th shortst pth in moii grph G(V,E ). Prt C. (Proo o Loop-rnss) On Thorm, LBA is loop-r. Thus th solution st rturn y LBA must th optiml st. Extning LBA to Multipl Dimnsions Th xtnsion o LBA to multipl imnsions using SAMCRA [9] is ll MLBA (Multipl-onstrin LBA). A ri sription o SAMCRA, whih srvs s th multipl-onstrin shortst pth routing lgorithm in MLBA, is givn in Stion.. Th si stps o MLBA (Multipl-onstrin LBA) r prsnt in Stion.. Th prolms ppring in multipl imnsions r rss in Stion... Bri Introution o SAMCRA SAMCRA [9] is n xt multipl-onstrin routing lgorithm s on thr onpts: () non-linr pth lngth, () k-shortst pth routing, n () non-ominn. Th non-linr lngth untion in in () is nssry or xtnss n implis tht su-pth o shortst pth is not nssrily shortst itsl. It is thror nssry to kp trk o multipl su-pths t h intrmit no on th pth twn pir o nos. A (su)-pth P is omint y (su)-pth P i wm ( P ) wm ( P ), or m =,,M, with n inqulity 0

11 sign or t lst on m. This oprtion rus th srh sp n rmovs loops rom rout whn nonngtiv link wights r us.. Oprtions o MLBA Th si stps o MLBA r th sm s thos or LBA xpt tht th shortst pth routing lgorithm is rpl with SAMCRA in MLBA. W will illustrt th oprtion o MLBA with th xmpl topology shown in Figur 6(). For th sk o simpliity, w hv ssign h link two-imnsionl wight vtor, ut it is lso possil to us n M-imnsionl wight vtor (M>). Th omplxity o solving th MCLPP prolm will inrs with M, ut s shown in [9], th omplxity my rs (n vn om polynomil) i M tns to ininity. To solv th MCLPP prolm, w r rquir to in two link-isjoint pths rom sour no A to stintion no B tht oth oy th onstrints vtor L r = (0, 0). Among th solutions to MCLPP w prr th on with th minimum totl lngth. Th shortst multipl-onstrin pth rom no A to no B is th pth. Its pth wight vtor is (, ). Th optiml st o two shortst link-isjoint pths (oring to ()) in this topology is {, }, with pth vtors (, 6) n (, ) rsptivly n minimum totl lngth =,,,,,,,6 6,,6 6, () Stp () Stp,,,,,,,,6 6,,6 6, () Stp () Stp Figur 6. Exmpl o th oprtion o MLBA 0.. Now lt us run MLBA on this topology. In Stp, th shortst pth P = is oun. In Stp, th originl grph is moii y rpling ll th P links with P links. In this s, h omponnt o link wight vtor o P link is st ngtiv. For instn, th link with wight vtor (, ) is rpl with th link with orrsponing wight vtor (, ). In Stp, th shortst pth in th moii grph oun with

12 SAMCRA is P =, with pth wight vtor () + (, ) + () = (6, 6). In Stp, th st O l onsisting o pir o opposit P n P links ( ) n ( ) r rmov rom th union o P n P. Thn th optiml solution st {, } is rturn.. Prolms u to th Non-linr Lngth in Multipl Dimnsions.. Loops us y Ngtiv Link Wights For M =, SAMCRA ts just lik Dijkstr s lgorithm, thror MLBA rus to LBA n ngtiv link wights long P will not us loop in th routing pross o MLBA. For M >, Thorm still hols n loop ontining som P link(s) still hs non-ngtiv lngth. Howvr, som o th omponnts o th loop wight vtor my ngtiv, using MLBA to pss this loop init numr o tims. W will xplin this looping through Figur 7, whr h link posssss two link mtris. Suppos tht th shortst pth P is s, pit with ol lins in Figur 7(). Th link wights vtor (x, x ) o link must hosn to nsur tht th pth s is longr thn s, i.. w ( s ) + w ( ) + x + w ( ) w ( s ) + w ( ) + w ( ) mx > mx. w ( s ) + w ( ) + x + w ( ) w ( s ) + w ( ) + w ( ) Numrilly, x w ( ) w ( ) mx > mx = = () x w ( ) w ( ) Atr Stp o MLBA is xut, thr pprs loop P l = shown with oul lins in Figur 7(), ontining th link with ngtiv link wights (, ).,,, x, x s,8,,,,6,,,,, x, x s,,8,,6,,, 6,,7 g 6,,7 g () Th shortst pth is s. () Th loop ontins ngtiv link. Figur 7. Non-ominn my il to rmov loop in th s o M>. I qution () hols n h omponnt o vtor (x, x ) is grtr thn, thn th su-pth s will omint y th irt link s with wight vtor (,8) n will rmov y th non-ominn hk in SAMCRA. Howvr, i qution () hols ut on omponnt o (x, x ) is not grtr thn, sy x <, x >, thn

13 w ( Pl ) = w ( ) + w ( ) + w ( ) = ( ) + + x < 0, w ( Pl ) = w ( ) + w ( ) + w ( ) = ( ) + + x > 0 whr (w (P l ), w (P l )) is th pth vtor o th loop P l. In this s, th su-pth s is not omint y th link s, lthough l(p l ) > 0. Hn, loops n our in MLBA tht ontinu until on o th onstrints is violt. Unortuntly, hking ll pths to ssur tht thy r loop-r is omputtionlly too xpnsiv. As mntion in Stion, in Suurll s lgorithm [] n th S-T lgorithm [6], trnsormtion o link wights w ( u v) = w( u v) + ( u) ( v) is ppli to h link, whr (u) is th istn rom sour no s to no u on th shortst pth tr. This trnsormtion is m to gurnt tht th links on th shortst pth tr hv zro link wights n thos links not on th tr hv link wights grtr thn zro in th moii grph. Howvr, n rtit o non-linr lngth is tht sustions o shortst pths r not nssrily shortst pths [][9]. Consquntly, or M >, Suurll s trnsormtion nnot nsur non-ngtiv link wights n loops my mrg... Totl Lngth o th Solutions Prou with MLBA W ssum or th momnt tht th onstrints r lrg nough suh tht ll pths r sil. I M =, it is prov in Stion. tht th solution st P, } prou with MLBA hs th minimum totl lngth. With th { P totl lngth in in (), Lmm in stion still hols or M >. Th optiml solution st o two linkisjoint multipl-onstrin pths with minimum totl lngth ithr ontins th irst shortst pth P itsl or som P links on h o its two pths. Also, th optiml st P, } still oys Proprty. Unortuntly, th { P logil irn st ( P U ) P is not nssrily th shortst pth P in th moii grph, sin l(( P U ) P ) = l( ) + l( ) l( P ) os not nssrily hol or M >. Hn, Lmm my not hol or M > n th solution st onstrut s on P n P is not nssrily th optiml st with minimum totl lngth. Morovr, th solution st my lso violt th onstrints or sil solution my not oun. DIMCRA In th prvious stion, w hv shown tht it is not trivil to xtn LBA to multipl imnsions. Du to th prolms xisting in MLBA, w propos huristi lgorithm DIMCRA (link-disjoint Multipl Constrints Routing Algorithm) or th MCLPP prolm.. Oprtions o DIMCRA DIMCRA (G, s, t): Givn irt grph G(V, E), onstrint vtor L r n sour-stintion pir (s, t), Stp. Fin th shortst pth P oying L r with SAMCRA; i P os not xist, thn stop; Stp. Rvrs th irtion o ll th links on th shortst pth P, n st th sign o thir link wights zro, w m ( v u) = 0, ( u v) P n m =,, M. A moii grph G is rt;

14 Stp. Fin th shortst pth P onstrin y L r in th moii grph G with SAMCRA; i P os not xist, thn stop; Stp. Mk th union o P n P, rmov rom th union th P links whos rvrs links ppr on P, n vi vrs, thn group th rmining links into st o two pths P, }, i.. ~ U = P U P ) \ ( P I ). ( P { P Stp. Chk th lngth o h pth in th st P, }. I th pth ( i ) violts th onstrints, thn { P upt th moii grph G y rmoving th link st ( I P ) rom it, n go to Stp. Othrwis stop n rturn th urrnt solution st P, }. { P i i \ i Compr to MLBA, DIMCRA uss irnt trnsormtion to rt th moii grph. In Stp o DIMCRA, th shortst pth links r still rvrs in irtion ut th orrsponing irtion rvrs links r ssign with zro link wight vtors inst o ngtiv ons. Thror th loop prolm us y ngtiv link wights tht minly stroys th iiny o MLBA is ypss. In MLBA, P is rquir to oy th r r onstrints, whih my us som sil sts to ignor y MLBA. In t, whn w( P ) > L, i P ontins no rvrs P link(s), thn P, } is tully {P, P } n nnot sil st. But i P ontins som { P rvrs P link(s), it is possil tht { P, } is sil st, or instn, l(p ) = 0.6, l ( P ) = 0.8, l ( P ) = 0.9, r r r r r r n l(p ) =.. Howvr, i w( P ) > L, thn w must hv w P + P ) = w( P + P P ) > w( P ) L, ( r whr P r nots th st o P links whos rvrs links ppr on P, n P r must propr sust o P. Thror, in Stp o DIMCRA, th onstrint hk on pth P in SAMCRA is prorm with L r s th onstrints vtor, othrwis sil solution st my not oun. W hv lso n xtr stp, Stp r r o DIMCRA, to hk tht th onstrints r oy. I only with w( P + P ) L DIMCRA os not lwys r r r r nsur oth pths within onstrints, i.. w( P ) L n w( P ) L. Hn Stp o DIMCRA hks oth pths in th solution st rturn t Stp. I h o thm oys th onstrints, DIMCRA will rturn th solution st n stop. On th othr hn, i ithr o thm os not oy th onstrints, DIMCRA is rirt to Stp to ontinu th srh or sil st. In Stp, i no P xists, DIMCRA will stop with no solution. W will illustrt th oprtion o DIMCRA with th ollowing xmpls. Exmpl : Consir th xmpl grph in Figur 8(). W r rquir to in st o two link-isjoint pths twn n, h within th onstrints L r = () n prrly with th minimum totl lngth. In Stp, th shortst pth P = is oun. In Stp, h P link is rvrs n is ssign with zro link wights. In Stp, th shortst pth in th moii grph G is oun s P =, with pth vtor () + () + () = (7,8), s shown with ol lins in Figur 8(). In Stp, only or th P link, its rvrs link pprs on P n vi vrs. Thus ths two links r rmov rom th union o P n P, n th rmining

15 ,,,,6 6,,6 6, () Stp () Stp,,,,6 6,,6 6, () Stp () Stp Figur 8. Exmpl o th oprtion o DIMCRA links r group into st o two pths P, } ={, }, shown with ol lins. In Stp, th onstrints { P hk is xut on oth pths. As h o thm oys th onstrints, DIMCRA stops. In this s, th optiml solution st o {, } is rturn y DIMCRA. Th solution st tht woul hv n rturn y RF, is not optiml. Exmpl : Consir th grph in Figur 9(), whih is th sm s in th prvious xmpl xpt tht th,,,,6,,6, () Stp () Stp,,,,6,,6, () Stp () Stp Figur 9. Exmpl o th oprtion o DIMCRA

16 link is ssign irnt vtor (,). Th onstrints rmin th sm. In this xmpl th optiml st o () Stp () Stp,,,,6, () Stp Figur 0. Exmpl o th oprtion o DIMCRA two link-isjoint multipl-onstrin pths is still th st {, } with pth vtors (,) n (,6) rsptivly, n th minimum totl lngth /0 + 6/0 = 0.. In Stp, th shortst pth in th moii grph is oun s P = with pth vtor (7,7), shown in Figur 9(). In Stp, s or h P link, its rvrs link os not ppr on P, or vi vrs, th solution st P, } is onstrut s {, }, xtly P n P { P thmslvs. Th totl lngth o {, } is /0 + 7/0 = 0.6. In this xmpl, DIMCRA il to rturn th optiml st, ut DIMCRA s solution st is los to th optiml on n oth pths oy th onstrints. RF woul hv rturn th sm solution. Exmpl. W gin onsir Exmpl xpt with irnt onstrints (6,6). Running DIMCRA, w otin th sm rsults s in Exmpl (or Stp to Stp ). But in Stp, whn th onstrints hk is m on h pth in th solution st { P, } ={, }, th longr pth = with pth vtor (7,7) os not oy th onstrints. This mns tht th urrntly uilt solution st is not sil. Th links tht only ppr on =, i.. link n, r rmov rom th moii grph shown in Figur 9(). Th upt moii grph is shown in Figur 0() n DIMCRA is rirt to Stp. In Stp, shortst pth in th upt moii grph is oun s P =, pit in Figur 0(). In Stp, th solution st is {, }, s shown in Figur 0(). At lst, in Stp, h pth in th urrnt solution st oys th onstrints. Th optiml st {, } is rturn n DIMCRA stops. RF woul hv il to rturn solution. In Stp th onstrints r st to L r. With ths moii onstrints, i th shortst pth P in th moii grph violts th onstrints L r ut oys L r, it n rturn y SAMCRA in Stp, hn sil st 6

17 ,,,, 6,, 6,, () Stp () Stp,,,, 6,, 6,, () Stp () Stp () Stp Figur. Exmpl o th oprtion o DIMCRA with onstrints (0,0) rlt to suh kin o P will not ignor, s illustrt in Exmpl. Morovr, i pth P os not xist in th upt moii grph, DIMCRA will stop. Thus DIMCRA will not oun k n orth twn Stp n. With th onstrints hk on h pth in th solution st, Stp gurnts tht DIMCRA rturns sil st o two link-isjoint multipl-onstrin pths, s illustrt in th ov xmpls. Howvr it my our, s illustrt in Figur, tht DIMCRA nnot rturn sil st vn i thr xists on. Th RF mtho lso ils to rturn th sil st in this s.. Proprtis o DIMCRA As prov in Stion, th wy to onstrut solution st y rvrsing th shortst pth P, ining shortst pth P in th moii grph n onstruting th solution st s on ths two shortst pths P n P gurnts th isjointnss o th two pths in th solution st. Stting th irtion-rvrs P links with zro link wights gurnts th loop-rnss o DIMCRA. For, i no ngtiv link wights r us in grph, loop n voi y th non-ominn hk in SAMCRA. Compring with th oprtion o stting irtion-rvrs P links ngtiv, th oprtion o stting suh rvrs P links with zro link wights still nourgs th hoi o suh rvrs P links on pth ut with lss intnsity. Unortuntly DIMCRA os not lwys in th st o sil link-isjoint pths. Hn, it my possil to urthr optimiz DIMCRA, suh tht it n gurnt to lwys in st o sil link-isjoint pths, i thy xist. Howvr, DIMCRA in its urrnt stt is ttr thn th RF mtho (s ws init in th xmpls). Both mthos rturn th sm solution whn P, } ={P, P } n P I =. In ll othr ss DIMCRA { P P 7

18 ithr rturns mor optiml solution thn RF or RF os not in solution whr DIMCRA os. Sin, to our knowlg, no othr lgorithms or solving MCLPP xist, th prormn o DIMCRA is iiult to ssss. 6 Conlusions Th Link-isjoint pth prolm ours in ntwork sign whr spts s survivility, lo lning n ntwork rsour utiliztion r striv or. This prolm hs rly n invstigt in th QoS routing ontxt whr pth is hrtriz y multipl mtris. A simpl lgorithm or solving th LPP prolm or is prsnt in this ppr. Th prolms surrouning th xtnsion o this simpl lgorithm to multipl imnsions r isuss. A huristi lgorithm DIMCRA is propos to in link-isjoint multipl-onstrin pths twn pir o sour n stintion nos. I DIMCRA rturns link-isjoint pir o pths thy lwys oys th onstrints. Howvr, DIMCRA s solution is not nssrily optiml in trms o minimizing th totl lngth o th rturn pths or gurnting to lwys in th sil st. Its prormn howvr is ttr thn th simpl Rmov-Fin mtho. Som opn issus rmin, nmly: mking DIMCRA xt whilst still iint, llowing mximlly isjoint pths or rigs n simulting th prormn. Rrn: [] R. Bhnri, Optiml Divrs Routing in Tlommunition Fir Ntworks, Pro. IEEE INFOCOM 9, Toronto, Ontrio, Cn, Vol., pp.98-08, Jun 99. [] Y. Bjrno, Y. Britrt, A. Or, R. Rstogi, n A. Sprintson, Algorithms or Computing QoS Pths with Rstortion, Pro. o IEEE INFOCOM 0, April 00. [] D.A. Cstnon, Eiint lgorithms or ining th K st pths through trllis, IEEE Trns. on Arosp n Eltroni Systms, Vol. 6, No., pp. 0-0, Mrh 990. [] C. Chng, S.P.R. Kumr n J.J. Gri-Lun-Avs, A istriut lgorithm or ining K isjoint pths o miniml totl lngth, Pro. 8th Annul Allrton Conrn on Communition, Control, n Computing, Urn, Illinois, Otor 990. [] H. D Nv n P. Vn Mighm, TAMCRA: tunl ury multipl onstrints routing lgorithm, Computr Communitions, vol., No. 7, pp , Mrh 000. [6] R. Distl, Grph Thory, Grut Txts in Mthmtis, Springr-Vrlg Nw York, 997. [7] L.R. For n D.R. Fulkrson, Flows in Ntworks, Printon Univrsity Prss, Printon, Nw Jrsy, 96. [8] M. R. Gry n D. S. Johnson, Computrs n Intrtility, A Gui to th Thory o NP-Compltnss, Frmn, Sn Frniso, 979. [9] K.P. Gummi, M.J. Prp n C.S.R. Murthy, An Eiint Primry-Sgmnt Bkup Shm or Dpnl Rl-Tim Communition in Multihop Ntworks, ACM/IEEE Trnstions on Ntworking, vol., no., pp. 8-9, Frury 00. [0] P-H Ho n H.T. Mouth, Issus on ivrs routing or WDM msh ntworks with survivility, Pro. Tnth Intrntionl Conrn on Computr Communitions n Ntworks, pp. 6-66, 997. [] G.F. Itlin, R. Rstogi n B. Ynr, Rstortion Algorithms or Virtul Privt Ntworks in th Hos Mol, Pro. o IEEE INFOCOM 0, 00. [] K. Kr, M. Koilm n T. V. Lkshmn, Routing Rstorl Bnwith Gurnt Conntions using Mximum -Rout Flows, Pro. IEEE INFOCOM 0, 00. [] M. Koilm n T. V. Lkshmn, Dynmi Routing o Bnwith Gurnt Tunnls with Rstortion, Pro. IEEE INFOCOM 00, 000. [] M. Koilm n T.V. Lkshmn, Rstorl Dynmi Qulity o Srvi Routing, IEEE Communitions Mgzin, pp. 7-8, Jun 00. [] S.W. L n C. S. Wu, A k-st pths lgorithm or highly rlil ommunition ntworks, IEICE Trns. on Commun., Vol. E8-B, No., pp.86-80, April 999. [6] C-L Li, S.T. MCormik, D. Simhi-Lvi, Th omplxity o ining two isjoint pths with min-mx ojtiv untion, Disrt Appli Mthmtis, Vol. 6, No., pp. 0-, Jnury 990. [7] W. Ling, Roust routing in wi-r WDM ntworks, Pro. o th Int'l Prlll n Distriut Prossing Symp., Sn Frniso, April 00. 8

19 [8] C-C Lo n B-W Chung, A Novl Approh o Bkup Pth Rsrvtion or Survivl High-Sp Ntworks, IEEE Communitions Mgzin, Mrh 00. [9] R.G. Ogir, V. Rutnurg n N. Shhm, Distriut lgorithms or omputing shortst pirs o isjoint pths, IEEE Trns. on Inormtion Thory, Vol. 9, No., pp. -, Mrh 99. [0] E. Oki n N. Ymnk, A rursiv mtrix lultion mtho or isjoint pth srh with hop link numr onstrints, IEICE Trns. Commun., Vol. E78-B, No., pp , My 99. [] C.H. Ppimitriou n K. Stiglitz, Comintoril Optimiztion Algorithms n Complxity, Prnti-Hll, In., Englwoo Clis, Nw Jrsy, 98. [] A. Sn, B.H. Shn, S. Bnyophyy n J.M. Cpon, Survivility o lightwv ntworks - pth lngths in WDM prottion shm, Journl o High Sp Ntworks, vol. 0, no., pp. 0-, 00. [] S.Z. Shikh, Spn-isjoint pths or physil ivrsity in ntworks, Pro. o IEEE Symposium on Computrs n Communitions, pp. 7-, 99. [] D. Sihu, R. Nir n S. Allh, Fining isjoint pths in ntworks, ACM SIGCOMM Computr Communition Rviw, Pro. o th onrn on Communitions rhittur & protools, Vol., No., August 99. [] J.W. Suurll, Disjoint Pths in Ntwork, Ntworks, Vol., pp. -, 97. [6] J.W. Suurll n R.E. Trjn, A Quik Mtho or Fining Shortst Pirs o Disjoint Pths, Ntworks, Vol., pp. -, 98. [7] N. Tt-Plotkin, B. Bllur n R. Ogir, Qulity-o-Srvi Using Mximlly Disjoint Pths, Pro. o IWQoS (Intrntionl Workshop on Qulity-o-Srvi), Jun 999. [8] Y. Tnk, F. Ru-Xu n M. Akiym, Dsign Mtho o Highly Rlil Communition Ntwork y th Us o Mtrix Clultion, IEICE Trns., Vol. J70-B, No., pp. -6, 987. [9] P. Vn Mighm, H. D Nv n F.A. Kuiprs, "Hop-y-hop Qulity o Srvi Routing", Computr Ntworks, Vol. 7. No -, pp. 07-, 00. [0] Z. Wng n J. Crowrot, QoS Routing or supporting Multimi Applitions, IEEE J. Slt Ars in Communitions, Vol., No.7, pp. 8-, Sptmr 996. [] J.K. Wol, A.M. Vitri n G.S. Dixon, Fining th Bst st o K pths through trllis with pplition to multitrgt trking, IEEE Trnstions on Arosp n Eltroni Systms, Vol., No., pp , Mrh

Reading. Minimum Spanning Trees. Outline. A File Sharing Problem. A Kevin Bacon Problem. Spanning Trees. Section 9.6

Reading. Minimum Spanning Trees. Outline. A File Sharing Problem. A Kevin Bacon Problem. Spanning Trees. Section 9.6 Rin Stion 9.6 Minimum Spnnin Trs Outlin Minimum Spnnin Trs Prim s Alorithm Kruskl s Alorithm Extr:Distriut Shortst-Pth Alorithms A Fil Shrin Prolm Sy unh o usrs wnt to istriut il monst thmslvs. Btwn h

More information

Outline. Binary Tree

Outline. Binary Tree Outlin Similrity Srh Th Nikolus Augstn Fr Univrsity of Bozn-Bolzno Fulty of Computr Sin DIS 1 Binry Rprsnttion of Tr Binry Brnhs Lowr Boun for th Eit Distn Unit 10 My 17, 2012 Nikolus Augstn (DIS) Similrity

More information

Algorithmic Aspects of Access Networks Design in B3G/4G Cellular Networks

Algorithmic Aspects of Access Networks Design in B3G/4G Cellular Networks Algorithmi Aspts o Ass Ntworks Dsign in BG/G Cllulr Ntworks Dvi Amzllg, Josph (Si) Nor,DnnyRz Computr Sin Dprtmnt Thnion, Hi 000, Isrl {mzllg,nny}@s.thnion..il Mirosot Rsrh On Mirosot Wy, Rmon, WA 980

More information

Enhancing Downlink Performance in Wireless Networks by Simultaneous Multiple Packet Transmission

Enhancing Downlink Performance in Wireless Networks by Simultaneous Multiple Packet Transmission Enhning Downlink Prormn in Wirlss Ntworks y Simultnous Multipl Pkt Trnsmission Zhngho Zhng n Yunyun Yng Dprtmnt o Eltril n Computr Enginring, Stt Univrsity o Nw York, Stony Brook, NY 11794, USA Astrt In

More information

Distributed Systems Principles and Paradigms. Chapter 11: Distributed File Systems. Distributed File Systems. Example: NFS Architecture

Distributed Systems Principles and Paradigms. Chapter 11: Distributed File Systems. Distributed File Systems. Example: NFS Architecture Distriut Systms Prinipls n Prigms Mrtn vn Stn VU mstrm, Dpt. Computr Sin stn@s.vu.nl Chptr 11: Vrsion: Dmr 10, 2012 1 / 14 Gnrl gol Try to mk fil systm trnsprntly vill to rmot lints. 1. Fil mov to lint

More information

Schedule C. Notice in terms of Rule 5(10) of the Capital Gains Rules, 1993

Schedule C. Notice in terms of Rule 5(10) of the Capital Gains Rules, 1993 (Rul 5(10)) Shul C Noti in trms o Rul 5(10) o th Cpitl Gins Ruls, 1993 Sttmnt to sumitt y trnsror o shrs whr thr is trnsr o ontrolling intrst Prt 1 - Dtils o Trnsror Nm Arss ROC No (ompnis only) Inom Tx

More information

Diagram Editing with Hypergraph Parser Support

Diagram Editing with Hypergraph Parser Support Copyright 1997 IEEE. Pulish in th Proings o VL 97, Sptmr 23-26, 1997 in Cpri, Itly. Prsonl us o this mtril is prmitt. Howvr, prmission to rprint/rpulish this mtril or vrtising or promotionl purposs or

More information

One Ring to Rule them All: Service Discovery and Binding in Structured Peer-to-Peer Overlay Networks

One Ring to Rule them All: Service Discovery and Binding in Structured Peer-to-Peer Overlay Networks On Ring to Rul thm All: Srvi Disovry n Bining in Strutur Pr-to-Pr Ovrly Ntworks Migul Cstro Mirosot Rsrh, J J Thomson Clos, Cmrig, CB 0FB, UK. mstro@mirosot.om Ptr Drushl Ri Univrsity, 100 Min Strt, MS-1,

More information

Network Decoupling for Secure Communications in Wireless Sensor Networks

Network Decoupling for Secure Communications in Wireless Sensor Networks Ntwork Doupling for Sur Communitions in Wirlss Snsor Ntworks Wnjun Gu, Xiol Bi, Srirm Chllppn n Dong Xun Dprtmnt of Computr Sin n Enginring Th Ohio-Stt Univrsity, Columus, Ohio 43210 1277 Emil: gu, ixi,

More information

Uses for Binary Trees -- Binary Search Trees

Uses for Binary Trees -- Binary Search Trees CS122 Algorithms n Dt Struturs MW 11:00 m 12:15 pm, MSEC 101 Instrutor: Xio Qin Ltur 10: Binry Srh Trs n Binry Exprssion Trs Uss or Binry Trs Binry Srh Trs n Us or storing n rtriving inormtion n Insrt,

More information

Where preparation meets opportunity. My Academic Planner. Early Academic Outreach Program (EAOP)

Where preparation meets opportunity. My Academic Planner. Early Academic Outreach Program (EAOP) Whr prprtion mts opportunity. My Ami Plnnr Erly Ami Outrh Prorm (EAOP) Follow this 4-stp pln to prpr or mission to th Univrsity o Cliorni (UC), Cliorni Stt Univrsity (CSU) n mny inpnnt olls with similr

More information

Predicting Current User Intent with Contextual Markov Models

Predicting Current User Intent with Contextual Markov Models Priting Currnt Usr Intnt with Contxtul Mrkov Mols Juli Kislv, Hong Thnh Lm, Mykol Phnizkiy Dprtmnt of Computr Sin Einhovn Univrsity of Thnology P.O. Box 513, NL-5600MB, th Nthrlns {t.l.hong, j.kislv, m.phnizkiy}@tu.nl

More information

Hospitals. Internal Revenue Service Information about Schedule H (Form 990) and its instructions is at www.irs.gov/form990.

Hospitals. Internal Revenue Service Information about Schedule H (Form 990) and its instructions is at www.irs.gov/form990. SCHEDULE H Hospitls OMB No. 1545-0047 (Form 990) Complt if th orgniztion nswr "Ys" to Form 990, Prt IV, qustion 20. Atth to Form 990. Opn to Puli Dprtmnt of th Trsury Intrnl Rvnu Srvi Informtion out Shul

More information

Last time Interprocedural analysis Dimensions of precision (flow- and context-sensitivity) Flow-Sensitive Pointer Analysis

Last time Interprocedural analysis Dimensions of precision (flow- and context-sensitivity) Flow-Sensitive Pointer Analysis Flow-Insnsitiv Pointr Anlysis Lst tim Intrprocurl nlysis Dimnsions of prcision (flow- n contxt-snsitivity) Flow-Snsitiv Pointr Anlysis Toy Flow-Insnsitiv Pointr Anlysis CIS 570 Lctur 12 Flow-Insnsitiv

More information

IncrEase: A Tool for Incremental Planning of Rural Fixed Broadband Wireless Access Networks

IncrEase: A Tool for Incremental Planning of Rural Fixed Broadband Wireless Access Networks InrEs: A Tool or Inrmntl Plnning o Rurl Fix Bron Wirlss Ass Ntworks Giomo Brnri n Mhsh K. Mrin Shool o Inormtis Th Univrsity o Einurgh, UK Frnso Tlmon n Dmitry Rykovnov EOLO L NGI SpA, Miln, Itly Astrt

More information

Oracle PL/SQL Programming Advanced

Oracle PL/SQL Programming Advanced Orl PL/SQL Progrmming Avn In orr to lrn whih qustions hv n nswr orrtly: 1. Print ths pgs. 2. Answr th qustions. 3. Sn this ssssmnt with th nswrs vi:. FAX to (212) 967-3498. Or. Mil th nswrs to th following

More information

Usability Test Checklist

Usability Test Checklist Crtifi Profssionl for Usility n Usr Exprin Usility Tsting (CPUX-UT) Vrsion.0, Jun 0 Pulishr: UXQB. V. Contt: info@uxq.org www.uxq.org Autorn: R. Molih, T. Gis, B. Rumml, O. Klug, K. Polkhn Contnt Lgn...

More information

Discovering Petri Nets From Event Logs

Discovering Petri Nets From Event Logs Disovring Ptri Nts From Evnt Logs W.M.P. vn r Alst n B.F. vn Dongn Dprtmnt of Mthmtis n Computr Sin, Thnish Univrsitit Einhovn, Th Nthrlns. {W.M.P.v..Alst,B.F.v.Dongn}@tu.nl Astrt. As informtion systms

More information

CompactPCI Connectors acc. to PIGMG 2.0 Rev. 3.0

CompactPCI Connectors acc. to PIGMG 2.0 Rev. 3.0 Ctlog E 074486 08/00 Eition ComptPCI Conntors. to PIGMG.0 Rv. 3.0 Gnrl Lt in 999 PCI Inustril Computr Mnufturrs Group (PICMG) introu th nw rvision 3.0 of th ComptPCI Cor Spifition. Vrsion 3.0 of this spifition

More information

Homeomorphic Alignment of Weighted Trees

Homeomorphic Alignment of Weighted Trees Author mnusript, pulish in "Pttrn Rogn., 8 (00) 97--99" DOI : 0.06/j.ptog.00.0.05 Homomorphi Alignmnt o Wight Trs Bnjmin Rynl, Mihl Coupri, Vnsls Biri Univrsité Pris-Est,Lortoir Inormtiqu Gspr Mong, Equip

More information

Distributed Process Discovery and Conformance Checking

Distributed Process Discovery and Conformance Checking Distriut Pross Disovry n Conormn Chkin Wil M.P. vn r Alst 1,2 1 Einhovn Univrsity o Thnoloy, Einhovn, Th Nthrlns 2 Qunsln Univrsity o Thnoloy, Brisn, Austrli www.vlst.om Astrt. Pross minin thniqus hv mtur

More information

Graph Theoretical Analysis and Design of Multistage Interconnection Networks

Graph Theoretical Analysis and Design of Multistage Interconnection Networks 637 I TRNSTIONS ON OMPUTRS, VOL. -32, NO. 7, JULY 1983 [39].. svnt,.. jski, n. J. Kuck, "utomtic sign wit pnnc grps," in Proc. 17t s. utomt. on, I omput. Soc. TMSI, 1980, pp. 506-515. [40] M.. Mcrln, "

More information

Chapter 3 Chemical Equations and Stoichiometry

Chapter 3 Chemical Equations and Stoichiometry Chptr Chmicl Equtions nd Stoichiomtry Homwork (This is VERY importnt chptr) Chptr 27, 29, 1, 9, 5, 7, 9, 55, 57, 65, 71, 75, 77, 81, 87, 91, 95, 99, 101, 111, 117, 121 1 2 Introduction Up until now w hv

More information

Revised Conditions (January 2009) LLOYDS BANKING GROUP SHARE ISA CONDITIONS

Revised Conditions (January 2009) LLOYDS BANKING GROUP SHARE ISA CONDITIONS Rvis Conitions (Jnury 2009) LLOYDS BANKING GROUP SHARE ISA CONDITIONS Contnts 1 Who r th prtis?... 2 Wht o wors n phrss in ol typ mn?... 3 Whn i my pln strt?... 4 How o I invst in my pln?... 5 Who owns

More information

SEE PAGE 2 FOR BRUSH MOTOR WIRING SEE PAGE 3 FOR MANUFACTURER SPECIFIC BLDC MOTOR WIRING EXAMPLES A

SEE PAGE 2 FOR BRUSH MOTOR WIRING SEE PAGE 3 FOR MANUFACTURER SPECIFIC BLDC MOTOR WIRING EXAMPLES A 0V TO 0V SUPPLY +0V TO +0V RS85 ONVRTR 9 TO OM PORT ON P TO P OM PORT US 9600 U 8IT, NO PRITY, STOP, NO FLOW TRL. OPTO SNSOR # +0V TO +0V RS85 RS85 OPTO SNSOR # PHOTO TRNSISTOR OPTO SNSOR # L TO OTHR Z

More information

Back left Back right Front left Front right. Blue Shield of California. Subscriber JOHN DOE. a b c d

Back left Back right Front left Front right. Blue Shield of California. Subscriber JOHN DOE. a b c d Smpl ID r n sription o trms Bk lt Bk right Front lt Front right Provirs: Pls il ll lims with your lol BluCross BluShil lins in whos srvi r th mmr riv srvis or, whn Mir is primry, il ll Mir lims with Mir.

More information

Operational Procedure: ACNC Data Breach Response Plan

Operational Procedure: ACNC Data Breach Response Plan OP 2015/03 Oprtionl Prour: ACNC Dt Brh Rspons Pln This Oprtionl Prour is issu unr th uthority of th Assistnt Commissionr Gnrl Counsl n shoul r togthr with th ACNC Poliy Frmwork, whih sts out th sop, ontxt

More information

SecurView 6-0-6 Antivirus Software Installation

SecurView 6-0-6 Antivirus Software Installation SurViw 6-0-6 Antivirus Sotwr Instlltion 1. Introdution Antivirus sotwr is n tiv wy to ombt omputr viruss, trojns, worms, nd othr mliious sotwr tht my ttmpt to ompromis th intgrity o systm. It is ssntil

More information

1. Number of questions to be answered: ALL Multiple Choice (Section A) and 3 from 5 of the short answer questions (Section B)

1. Number of questions to be answered: ALL Multiple Choice (Section A) and 3 from 5 of the short answer questions (Section B) LEEDS METROPOLITAN UNIVERSITY UK Cntr for Evnts Mngmnt (RESIT) Moul Titl: Evnts Mrkting Ativitis Ami Yr: 2011/12 Lvl: 4 Smstr: 2 Cours: BA(Hons)/ HND Evnt Mngmnt Intrnl Exminrs: Exmintion Dt: 2 n July

More information

A122 MARION COUNTY HEALTH BUILDING HVAC, GLAZING AND LIGHTING RENOVATION 75% DOCUMENTS 08/31/2015

A122 MARION COUNTY HEALTH BUILDING HVAC, GLAZING AND LIGHTING RENOVATION 75% DOCUMENTS 08/31/2015 7 ' 7 /" ' " ' /" ' 9 /" ' 0" ' 0" ' 0" ' 0" ' " ' /" 0 NRL SHT NOTS IL VRIY XISTIN PRIOR TO WORK N NOTIY RHITT/NINR O ISRPNIS TWN RWINS N XISTIN ONITIONS. 0 0 0 PTH LOTIONS N IR PROOIN WHR XISTIN WLLS

More information

Process Mining Making Sense of Processes Hidden in Big Event Data

Process Mining Making Sense of Processes Hidden in Big Event Data Pross Minin Mkin Sns o Prosss Hin in Bi Evnt Dt EIS Colloquium, 7-12-2012, TU/, Einovn Wil vn r Alst www.prossminin.or omplin-orint qustions, prolms n solutions prormn-orint qustions, prolms n solutions

More information

Upward Planar Drawings of Series-Parallel Digraphs with Maximum Degree Three

Upward Planar Drawings of Series-Parallel Digraphs with Maximum Degree Three Upwr Plnr Drwins of ris-prlll Dirps wit Mximum Dr Tr (Extn Astrt) M. Aul Hssn m n M. iur Rmn Dprtmnt of Computr in n Eninrin, Bnls Univrsity of Eninrin n Tnoloy (BUET). {sm,siurrmn}@s.ut.. Astrt. An upwr

More information

P U B L I C A T I O N I N T E R N E 1800 PARTIAL ORDER TECHNIQUES FOR DISTRIBUTED DISCRETE EVENT SYSTEMS: WHY YOU CAN T AVOID USING THEM

P U B L I C A T I O N I N T E R N E 1800 PARTIAL ORDER TECHNIQUES FOR DISTRIBUTED DISCRETE EVENT SYSTEMS: WHY YOU CAN T AVOID USING THEM I R I P U B L I C A T I O N I N T E R N E 1800 N o S INSTITUT DE RECHERCHE EN INFORMATIQUE ET SYSTÈMES ALÉATOIRES A PARTIAL ORDER TECHNIQUES FOR DISTRIBUTED DISCRETE EVENT SYSTEMS: WHY YOU CAN T AVOID

More information

MANAGEMENT OF INFORMATION SECURITY AND FORENSICS

MANAGEMENT OF INFORMATION SECURITY AND FORENSICS MANAGEMENT OF INFORMATION SECURITY AND FORENSICS CS 307 Ctlog Dsription PREREQUISITE: CS 0. Stuy of informtion surity n igitl fornsis using prtil s stuis. Emphsis is on vloping surity poliis, surity mngmnt

More information

11 + Non-verbal Reasoning

11 + Non-verbal Reasoning Prti Tst + Non-vrl Rsoning R th instrutions rfully. Do not gin th tst or opn th ooklt until tol to o so. Work s quikly n s rfully s you n. Cirl th orrt lttr from th options givn to nswr h qustion. You

More information

Economics 340: International Economics Andrew T. Hill Nontariff Barriers to Trade

Economics 340: International Economics Andrew T. Hill Nontariff Barriers to Trade Eonomis 340: Intrntionl Eonomis Anrw T. Hill Nontri Brrirs to Tr Txtook Rings: ugl & Linrt, Intrntionl Eonomis, 11th Eition, pp. 139-162. 10th Eition, pp. 133-153. Txtook W Sit: Ky Grph 3 t http://www.mhh.om/onomis/pugl

More information

Approximate Subtree Identification in Heterogeneous XML Document Collections

Approximate Subtree Identification in Heterogeneous XML Document Collections Approximat Sutr Intiiation in Htrognous XML Doumnt Colltions Ismal Sanz 1, Maro Msiti 2, Giovanna Gurrini 3 an Raal Brlanga 1 1 Univrsitat Jaum I, Spain 2 Univrsità gli Stui i Milano, Italy 3 Univrsità

More information

Standard Conditions for Street Traders The Royal Borough of Kensington and Chelsea. Revised standard conditions for street trading

Standard Conditions for Street Traders The Royal Borough of Kensington and Chelsea. Revised standard conditions for street trading Stnr Conitions or Strt Trrs Th Royl Borough o Knsington n Chls Rvis stnr onitions or strt tring Th Royl Borough o Knsington n Chls strt tring linss stnr onitions 2006 1 Dinitions Th ollowing xprssions

More information

Summary of changes to Regulations recommended to the Senate by Graduate School Management Committee. Changed wording is shown in bold italics.

Summary of changes to Regulations recommended to the Senate by Graduate School Management Committee. Changed wording is shown in bold italics. Summry of hngs to Rgultions rommn to th Snt y Grut Shool Mngmnt Committ. Chng woring is shown in ol itlis. Gnrl Rgultions for Dgrs y Rsrh n Thsis 1. Inlusion of th Dotor of Miin (MD) wr throughout. 2.

More information

AdvancedTCA Connectors acc. to PICMG 3.0

AdvancedTCA Connectors acc. to PICMG 3.0 AvnTCA Conntors. to PICMG 3.0 ERNI is nxious to support ustomrs xtnsivly n is rully ompltin t prout rn or intronnt pltorms. Tis lso inlus t ATCA (Avn Tlom Computin Arittur) stnr. Tis stnr (lso known s

More information

Fundamentals of Tensor Analysis

Fundamentals of Tensor Analysis MCEN 503/ASEN 50 Chptr Fundmntls of Tnsor Anlysis Fll, 006 Fundmntls of Tnsor Anlysis Concpts of Sclr, Vctor, nd Tnsor Sclr α Vctor A physicl quntity tht cn compltly dscrid y rl numr. Exmpl: Tmprtur; Mss;

More information

CPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions

CPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions CPS 22 Thory of Computation REGULAR LANGUAGES Rgular xprssions Lik mathmatical xprssion (5+3) * 4. Rgular xprssion ar built using rgular oprations. (By th way, rgular xprssions show up in various languags:

More information

University of Mumbai Application for selection as Best College

University of Mumbai Application for selection as Best College Univrsity o Mumi Applition or sltion s Bst Collg 1 Inormtion o th Sponsoring Soity Nm o th Sponsoring Soity with Rgistrtion No. Nms o th Bor o Trusts Whthr Sponsoring Soity is running ny othr Institutions

More information

SEE PAGE 2 FOR BRUSH MOTOR WIRING SEE PAGE 3 FOR MANUFACTURER SPECIFIC BLDC MOTOR WIRING EXAMPLES

SEE PAGE 2 FOR BRUSH MOTOR WIRING SEE PAGE 3 FOR MANUFACTURER SPECIFIC BLDC MOTOR WIRING EXAMPLES V TO 0V SUPPLY TO P OM PORT GROUN +0V TO +0V RS85 ONVRTR 9 TO OM PORT ON P US 9600 U 8IT, NO PRITY, STOP, NO FLOW TRL. NOT: INSTLL SHORTING JUMPR ON FOR V-5V OPRTION. JUMPR MUST RMOV FOR VOLTGS >5V TO

More information

MATH PLACEMENT REVIEW GUIDE

MATH PLACEMENT REVIEW GUIDE MATH PLACEMENT REVIEW GUIDE This guie is intene s fous for your review efore tking the plement test. The questions presente here my not e on the plement test. Although si skills lultor is provie for your

More information

Industry regulations Jurisdictional regulations Legal defensibility Legal frameworks Legal research

Industry regulations Jurisdictional regulations Legal defensibility Legal frameworks Legal research A Dutis, Tsks, n Stps Mnging Informtion Risk n Complin 1 Monitor lgl n rgultory lnsp Engg with lgl prtmnt n othr stkholrs Intify n intrprt xisting pplil lws of ll jurisitions n rgultions Intify rsours

More information

SKILL TEST IR(H) HELICOPTER SE ME Application and report form A. Udfyldes af ansøgeren/to be filled out by the applicant:

SKILL TEST IR(H) HELICOPTER SE ME Application and report form A. Udfyldes af ansøgeren/to be filled out by the applicant: SKILL TEST IR(H) HELICOPTER SE ME Applition n rport orm A. Uyls nsørn/to ill out y th pplint: CPR-nr./Dt o Birth: Crtiikt nr./lin no.: (I ny) Ustn Stt/Stt o Lin Issu: Fornvn/First nm(s): Etrnvn/Lst nm:

More information

Modeling Secure Connectivity of Self-Organized Wireless Ad Hoc Networks

Modeling Secure Connectivity of Self-Organized Wireless Ad Hoc Networks This ull txt ppr ws pr rviw t th irtio o IEEE Commuitios Soity sujt mttr xprts or pulitio i th IEEE INFOCOM 8 prois. Moli Sur Cotivity o Sl-Oriz Wirlss A Ho Ntworks Chi Zh, Y So Yuu F Dprtmt o Eltril Computr

More information

Level 3. Monday FRACTIONS ⅔ ⅗ 2) ⅔ =?/18. 1) What is a) ⅕ of 30? b) ⅖ of 30?

Level 3. Monday FRACTIONS ⅔ ⅗ 2) ⅔ =?/18. 1) What is a) ⅕ of 30? b) ⅖ of 30? 2014 Th Wkly Pln. All rights rsrv. Mony 2) ⅔ =?/18 1) Wht is ) ⅕ o 30? ) ⅖ o 30? 4) Us or = to show th rltionship twn th ollowing rtions: 3) Writ n quivlnt rtion or ½ ⅔ ⅗ 5) Brook pik ouqut o 24 lowrs.

More information

Change Your History How Can Soccer Knowledge Improve Your Business Processes?

Change Your History How Can Soccer Knowledge Improve Your Business Processes? Symposium Inuurl Lctur o Hjo Rijrs, VU, 26-6-2015 Chn Your History How Cn Soccr Knowl Improv Your Businss Procsss? Wil vn r Alst TU/ n DSC/ 1970 born Oostrbk 1988-1992 CS TU/ 1992-1994 TS TU/ 1994-1996

More information

Victims Compensation Claim Status of All Pending Claims and Claims Decided Within the Last Three Years

Victims Compensation Claim Status of All Pending Claims and Claims Decided Within the Last Three Years Claim#:021914-174 Initials: J.T. Last4SSN: 6996 DOB: 5/3/1970 Crime Date: 4/30/2013 Status: Claim is currently under review. Decision expected within 7 days Claim#:041715-334 Initials: M.S. Last4SSN: 2957

More information

Equivalence Checking. Sean Weaver

Equivalence Checking. Sean Weaver Equivlene Cheking Sen Wever Equivlene Cheking Given two Boolen funtions, prove whether or not two they re funtionlly equivlent This tlk fouses speifilly on the mehnis of heking the equivlene of pirs of

More information

Network Analyzer Error Models and Calibration Methods

Network Analyzer Error Models and Calibration Methods Ntwork Anlyzr Error Modls nd Clirtion Mthods y Doug Rytting Pg This ppr is n ovrviw of rror modls nd clirtion mthods for vctor ntwork nlyzrs. Prsnttion Outlin Ntwork Anlyzr Block Digrm nd Error Modl ystm

More information

Dinh Hong Giang 1,2, Ed Sarobol 2, * and Sutkhet Nakasathien 2 ABSTRACT

Dinh Hong Giang 1,2, Ed Sarobol 2, * and Sutkhet Nakasathien 2 ABSTRACT Kstsrt J. (Nt. Si.) 49 : 1-12 (215) Et o Plnt Dnsity n Nitrogn Frtilizr Rt on Growth, Nitrogn Us Eiiny n Grin Yil o Dirnt Miz Hyris unr Rin Conitions in Southrn Vitnm Dinh Hong Ging 1,2, E Srool 2, * n

More information

Discovering Block-Structured Process Models From Event Logs Containing Infrequent Behaviour

Discovering Block-Structured Process Models From Event Logs Containing Infrequent Behaviour Disovring Blok-Strutur Pross Mols From Evnt Logs Contining Infrqunt Bhviour Snr J.J. Lmns, Dirk Fhln, n Wil M.P. vn r Alst Einhovn Univrsity of Thnology, th Nthrlns {s.j.j.lmns,.fhln, w.m.p.v..lst}@tu.nl

More information

A Note on Approximating. the Normal Distribution Function

A Note on Approximating. the Normal Distribution Function Applid Mathmatical Scincs, Vol, 00, no 9, 45-49 A Not on Approimating th Normal Distribution Function K M Aludaat and M T Alodat Dpartmnt of Statistics Yarmouk Univrsity, Jordan Aludaatkm@hotmailcom and

More information

Magic Message Maker Amaze your customers with this Gift of Caring communication piece

Magic Message Maker Amaze your customers with this Gift of Caring communication piece Magic Mssag Makr maz your customrs with this Gift of aring communication pic Girls larn th powr and impact of crativ markting with this attntion grabbing communication pic that will hlp thm o a World of

More information

1 Fractions from an advanced point of view

1 Fractions from an advanced point of view 1 Frtions from n vne point of view We re going to stuy frtions from the viewpoint of moern lger, or strt lger. Our gol is to evelop eeper unerstning of wht n men. One onsequene of our eeper unerstning

More information

AC Circuits Three-Phase Circuits

AC Circuits Three-Phase Circuits AC Circuits Thr-Phs Circuits Contnts Wht is Thr-Phs Circuit? Blnc Thr-Phs oltgs Blnc Thr-Phs Connction Powr in Blncd Systm Unblncd Thr-Phs Systms Aliction Rsidntil Wiring Sinusoidl voltg sourcs A siml

More information

Transistor is a semiconductor device with fast respond and accuracy. There are two types

Transistor is a semiconductor device with fast respond and accuracy. There are two types Tranitor Amplifir Prpard y: Poa Xuan Yap Thory: Tranitor i a miondutor dvi with fat rpond and auray. Thr ar two typ of tranitor, a Bipolar Juntion Tranitor and a Fild Efft Tranitor. Hr, w will looking

More information

Learning Schemas for Unordered XML

Learning Schemas for Unordered XML Lning Shms fo Unodd XML Rdu Ciunu Univsity of Lill & INRIA, Fn du.iunu@ini.f S lwk Stwoko Univsity of Lill & INRIA, Fn slwomi.stwoko@ini.f Astt W onsid unodd XML, wh th ltiv od mong silings is ignod, nd

More information

A Proxy Based Indirect Routing Scheme for Ad Hoc Wireless Networks

A Proxy Based Indirect Routing Scheme for Ad Hoc Wireless Networks A Proxy Bs Inirt Routin Shm or A Ho Wirlss Ntworks Wook Choi n Sjl K. Ds Cntr or Rsrh in Wirlss Moility n Ntworkin (CRWMN Dprtmnt o Computr Sin n Eninrin Th Univrsity o Txs t Arlinton Arlinton, TX 719-1

More information

QoS Provisioning in WLAN Mesh Networks Using Dynamic Bandwidth Control

QoS Provisioning in WLAN Mesh Networks Using Dynamic Bandwidth Control QoS Provisioning in WLN Msh Ntworks Using ynmic nwith ontrol. Hock, R. Pris,. Sthl Univrsity o Wurzburg Institut o omputr Scinc Wurzburg, Grmny {hock, pris, sthl}@inormtik.uni-wurzburg. V. Rkocvic School

More information

Quality and Pricing for Outsourcing Service: Optimal Contract Design

Quality and Pricing for Outsourcing Service: Optimal Contract Design Qulity nd Pricing for Outsourcing Srvic: Optiml Contrct Dsign Smr K. Mukhopdhyy Univrsity of Wisconsin-Milwuk Co-uthor: Xiowi Zhu, Wst Chstr Univrsity of PA Third nnul confrnc, POMS Collg of Srvic Oprtions

More information

A simple algorithm to generate the minimal separators and the maximal cliques of a chordal graph

A simple algorithm to generate the minimal separators and the maximal cliques of a chordal graph A smpl lgortm to gnrt t mnml sprtors nd t mxml lqus o ordl grp Ann Brry 1 Romn Pogorlnk 1 Rsr Rport LMOS/RR-10-04 Fbrury 11, 20 1 LMOS UMR CNRS 6158, Ensmbl Sntqu ds Cézux, F-63 173 Aubèr, Frn, brry@sm.r

More information

MANUFACTURING EXPERIENCE EXPERTISE

MANUFACTURING EXPERIENCE EXPERTISE MNUFTURING XPRIN XPRTIS Manufacturing to Strict Standards Parts produced under numbers that begin with N, MS and NS were originally designed for aerospace applications, although many are equally suited

More information

Higher. Exponentials and Logarithms 160

Higher. Exponentials and Logarithms 160 hsn uknt Highr Mthmtics UNIT UTCME Eponntils nd Logrithms Contnts Eponntils nd Logrithms 6 Eponntils 6 Logrithms 6 Lws of Logrithms 6 Eponntils nd Logrithms to th Bs 65 5 Eponntil nd Logrithmic Equtions

More information

Subject: Medicaid and CHIP: Enrollment, Benefits, Expenditures, and Other Characteristics of State Premium Assistance Programs

Subject: Medicaid and CHIP: Enrollment, Benefits, Expenditures, and Other Characteristics of State Premium Assistance Programs Unit Stats Govrnmnt Aountability Offi Washington, DC 20548 January 19, 2010 Th Honorabl Max Bauus Chairman Th Honorabl Charls E. Grassly Ranking Mmbr Committ on Finan Unit Stats Snat Th Honorabl Hnry A.

More information

Econ 371: Answer Key for Problem Set 1 (Chapter 12-13)

Econ 371: Answer Key for Problem Set 1 (Chapter 12-13) con 37: Answr Ky for Problm St (Chaptr 2-3) Instructor: Kanda Naknoi Sptmbr 4, 2005. (2 points) Is it possibl for a country to hav a currnt account dficit at th sam tim and has a surplus in its balanc

More information

WIRELESS mesh networks (WMNs) provide cheap, reliable,

WIRELESS mesh networks (WMNs) provide cheap, reliable, ynmic nwith ontrol in Wirlss Msh Ntworks: Qulity o xprinc bs pproch Rstin Pris, vi Hock, Nico yr, Mtthis Sibrt, irk Sthl, Vslin Rkocvic, ngnn Xu, Phuoc Trn-Gi bstrct Wirlss Msh Ntworks (WMNs) r gining

More information

An overview on XML similarity: background, current trends and future directions

An overview on XML similarity: background, current trends and future directions Sumitt to Elsvi Sin An ovviw on XML simility: kgoun, unt tns n futu itions Jo Tkli, Rih Chi *, n Kokou Ytongnon LE2I Lotoy UMR-CNRS, Univsity of Bougogn, 21078 Dijon Cx Fn ABSTRACT In nt ys, XML hs n stlish

More information

Attachment 1 Package D1-1 (Five (5) Locations) 9-26-13Revised 11-1-13

Attachment 1 Package D1-1 (Five (5) Locations) 9-26-13Revised 11-1-13 Space Identifier Near Gate ttachment Package - (Five (5) Locations) 9-26-3Revised --3 Proposed oncept Square Footage Minimum nnual Guarantee Term in Years --Z0 ustoms urrency xchange 98 $20,500 75-2-S06

More information

Punching of flat slabs: Design example

Punching of flat slabs: Design example i Mol Co 00 Pnhing o lat la: Dign ampl Stan Lip, Arlio Mttoni, Migl Frnánz Riz Eol Polthniq Fééral Laann, Switzrlan, 6..0 Lip / Mttoni / Frnánz Riz / Eol Polthniq Fééral Laann, Switzrlan Bai ata. Gomtr

More information

Applications: Lifting eyes are screwed or welded on a load or a machine to be used as lifting points.

Applications: Lifting eyes are screwed or welded on a load or a machine to be used as lifting points. Liin ys Applicions: Liin ys r scrw or wl on or mchin o us s liin poins. Rn: Vn Bs ors wi rn o liin poins in lloy sl: ix, ricul, pivoin n/or roin. Fix liin poin: Ey nu, yp EL - mric vrsion Ey ol, yp AL

More information

Functional Valuation of Ecosystem Services on Bonaire

Functional Valuation of Ecosystem Services on Bonaire Funtionl Vlution of Eosystm Srvis on Bonir - An ologil nlysis of osystm funtions provi y orl rfs - Ingri J.M. vn Bk MS Aquultur n Fishris Spilistion Mrin Rsours n Eology Wgningn Univrsity Th Nthrlns MS-

More information

The Swedish Radiation Protection Institute s Regulations on X- ray Diagnostics;

The Swedish Radiation Protection Institute s Regulations on X- ray Diagnostics; SSI FS 2000:2 Th Swish Rition Prottion Institut s Rgultions on X- ry Dignostis; issu on April 28, 2000. On th sis of 7 of th Rition Prottion Orinn (1988:293) n ftr onsulttion with th Ntionl Bor of Hlth

More information

How To Get A Usb Power Button On Your Computer (For A Free) For A Year (For Free) (For An Ipad) (Free) (Apple) (Mac) (Windows) (Power) (Net) (Winows

How To Get A Usb Power Button On Your Computer (For A Free) For A Year (For Free) (For An Ipad) (Free) (Apple) (Mac) (Windows) (Power) (Net) (Winows Quik Stup Gui Strt Hr DCP-9270CDN Pls r Sfty n Lgl Booklt first for you st up your mhin. Thn, pls r this Quik Stup Gui for th orrt stup n instlltion. To viw th Quik Stup Gui in othr lngugs, pls visit http://solutions.rothr.om/.

More information

Important result on the first passage time and its integral functional for a certain diffusion process

Important result on the first passage time and its integral functional for a certain diffusion process Lcturs Mtmátics Volumn 22 (21), págins 5 9 Importnt rsult on th first pssg tim nd its intgrl functionl for crtin diffusion procss Yousf AL-Zlzlh nd Bsl M. AL-Eidh Kuwit Univrsity, Kuwit Abstrct. In this

More information

Forensic Engineering Techniques for VLSI CAD Tools

Forensic Engineering Techniques for VLSI CAD Tools Forensi Engineering Tehniques for VLSI CAD Tools Jennifer L. Wong, Drko Kirovski, Dvi Liu, Miorg Potkonjk UCLA Computer Siene Deprtment University of Cliforni, Los Angeles June 8, 2000 Computtionl Forensi

More information

Module 5. Three-phase AC Circuits. Version 2 EE IIT, Kharagpur

Module 5. Three-phase AC Circuits. Version 2 EE IIT, Kharagpur Module 5 Three-hse A iruits Version EE IIT, Khrgur esson 8 Three-hse Blned Suly Version EE IIT, Khrgur In the module, ontining six lessons (-7), the study of iruits, onsisting of the liner elements resistne,

More information

GENERAL REGULATIONS FOR DEGREES BY RESEARCH AND THESIS

GENERAL REGULATIONS FOR DEGREES BY RESEARCH AND THESIS REG/14/463(1) 2014-15 GENERAL REGULATIONS FOR DEGREES BY RESEARCH AND THESIS Applil to stunts in ll Stgs/yrs of progrmms Ths Gnrl Rgultions, pprov y th Univrsity Snt, st out th rquirmnts for rsrh wrs ssss

More information

Integration by Substitution

Integration by Substitution Integrtion by Substitution Dr. Philippe B. Lvl Kennesw Stte University August, 8 Abstrct This hndout contins mteril on very importnt integrtion method clled integrtion by substitution. Substitution is

More information

December Homework- Week 1

December Homework- Week 1 Dcmbr Hmwrk- Wk 1 Mth Cmmn Cr Stndrds: K.CC.A.1 - Cunt t 100 by ns nd by tns. K.CC.A.2 - Cunt frwrd bginning frm givn numbr within th knwn squnc (instd f hving t bgin t 1). K.CC.B.4.A - Whn cunting bjcts,

More information

the machine and check the components Black Yellow Cyan Magenta

the machine and check the components Black Yellow Cyan Magenta Quik Stup Gui Strt Hr MFC-J6510DW MFC-J6710DW Pls r Sfty n Lgl ooklt first for you st up your mhin. Thn, pls r this Quik Stup Gui for th orrt stup n instlltion. WARNING CAUTION WARNING inits potntilly

More information

A MESSAGE FROM CLAIMTEK

A MESSAGE FROM CLAIMTEK A MESSAGE FROM CLAIMTEK Dr Hlthr Billing Profssionl, Thnk you for tking tim to rviw this rohur. If you'v n looking for mil prti mngmnt n illing softwr tht mks your work sy, urt, n njoyl, MOffi is your

More information

Active Directory Service

Active Directory Service In order to lern whih questions hve een nswered orretly: 1. Print these pges. 2. Answer the questions. 3. Send this ssessment with the nswers vi:. FAX to (212) 967-3498. Or. Mil the nswers to the following

More information

5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST:

5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST: .4 Eponntial Functions: Diffrntiation an Intgration TOOTLIFTST: Eponntial functions ar of th form f ( ) Ab. W will, in this sction, look at a spcific typ of ponntial function whr th bas, b, is.78.... This

More information

Adverse Selection and Moral Hazard in a Model With 2 States of the World

Adverse Selection and Moral Hazard in a Model With 2 States of the World Advrs Slction and Moral Hazard in a Modl With 2 Stats of th World A modl of a risky situation with two discrt stats of th world has th advantag that it can b natly rprsntd using indiffrnc curv diagrams,

More information

ROBERT D. MCHUGH, JR., Ph.D. FINANCIAL MARKETS FORECAST & ANALYSIS A Publication of Main Line Investors, Inc.

ROBERT D. MCHUGH, JR., Ph.D. FINANCIAL MARKETS FORECAST & ANALYSIS A Publication of Main Line Investors, Inc. ROBERT D. MCHUGH, JR., Ph.D. FINANCIAL MARKETS FORECAST & ANALYSIS A Pulition of Min Lin Invstors, In. Mjor Stok Mrkt Tops of th Pst Cntury y Rort D. MHugh, Ph.D. Frury 12th, 2007 Thr is stok pri pttrn

More information

CRITO PLATO KRITWN PLATWN

CRITO PLATO KRITWN PLATWN CRITO KRITWN PLATO PLATWN CRITO KRITWN PLATO PLATWN Translat y Cathal Woos an Ryan Pak 2007-2012 This work is lins unr th Crativ Commons Attriution-Nonommrial-No Drivativ Works 3.0 Lins. To viw a opy of

More information

Outside Cut 1 of fabric Cut 1 of interfacing

Outside Cut 1 of fabric Cut 1 of interfacing a a Outsi Cut o abric Cut o intracing a a b b Outsi Cut o abric Cut o intracing Placmnt lin or Mony Pockts Dix Not: F. Cut Fol b. Pin t /8 in 5. Nx bottom pics sw th 6. For t Prss, 7. Lay togth on th 8.

More information

1. Definition, Basic concepts, Types 2. Addition and Subtraction of Matrices 3. Scalar Multiplication 4. Assignment and answer key 5.

1. Definition, Basic concepts, Types 2. Addition and Subtraction of Matrices 3. Scalar Multiplication 4. Assignment and answer key 5. . Definition, Bsi onepts, Types. Addition nd Sutrtion of Mtries. Slr Multiplition. Assignment nd nswer key. Mtrix Multiplition. Assignment nd nswer key. Determinnt x x (digonl, minors, properties) summry

More information

RECEIVED 2812 HAY 10 PMI2:00 FEC MAIL CEHTER

RECEIVED 2812 HAY 10 PMI2:00 FEC MAIL CEHTER Rort F. Bur PHONE: (202)434-1602 FA: (202)654-9104 EMAIL: RBur@prkinsoi.om RECEIVED 2812 HAY 10 PMI2:00 FEC MAIL CEHTER Prkins Coi 700Thirtnth Strt, N.W., Suit 600 Wshington, D.C. 20005-3960. PHONE: 202.654.6200

More information

Words Symbols Diagram. abcde. a + b + c + d + e

Words Symbols Diagram. abcde. a + b + c + d + e Logi Gtes nd Properties We will e using logil opertions to uild mhines tht n do rithmeti lultions. It s useful to think of these opertions s si omponents tht n e hooked together into omplex networks. To

More information

Hermes: Dynamic Partitioning for Distributed Social Network Graph Databases

Hermes: Dynamic Partitioning for Distributed Social Network Graph Databases Hrms: Dynm Prttonn or Dstrut Sol Ntwork Grph Dtss Dnl Nor Unvrsty o Wtrloo nl.nor@ml.om Shhn Kml Unvrsty o Wtrloo s3kml@uwtrloo. Khuzm Duj Unvrsty o Wtrloo kuj@uwtrloo. L Chn HKUST lhn@s.ust.hk ABSTRACT

More information

Recall from Last Time: Disjoint Set ADT

Recall from Last Time: Disjoint Set ADT Ltur 21: Unon n Fn twn Up-Trs Toy s An: Plntn n rown orst o Up-Trs Unon-n n Fn-n Extn xmpl Implmntn Unon/Fn Smrt Unon n Fn Unon-y-sz/t n Pt Comprsson Run Tm Anlyss s tou s t ts! Covr n Cptr 8 o t txtook

More information

The example is taken from Sect. 1.2 of Vol. 1 of the CPN book.

The example is taken from Sect. 1.2 of Vol. 1 of the CPN book. Rsourc Allocation Abstract This is a small toy xampl which is wll-suitd as a first introduction to Cnts. Th CN modl is dscribd in grat dtail, xplaining th basic concpts of C-nts. Hnc, it can b rad by popl

More information

LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES

LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES DAVID WEBB CONTENTS Liner trnsformtions 2 The representing mtrix of liner trnsformtion 3 3 An ppliction: reflections in the plne 6 4 The lgebr of

More information

Maximum area of polygon

Maximum area of polygon Mimum re of polygon Suppose I give you n stiks. They might e of ifferent lengths, or the sme length, or some the sme s others, et. Now there re lots of polygons you n form with those stiks. Your jo is

More information

Operation Transform Formulae for the Generalized. Half Canonical Sine Transform

Operation Transform Formulae for the Generalized. Half Canonical Sine Transform Appl Mhmcl Scnc Vol 7 3 no 33-4 HIKARI L wwwm-hrcom Opron rnorm ormul or h nrl Hl Cnoncl Sn rnorm A S uh # n A V Joh * # ov Vrh Inu o Scnc n Humn Amrv M S In * Shnrll Khnlwl Coll Aol - 444 M S In luh@mlcom

More information