Forecasting Demand of Potential Factors in Data Centers

Size: px
Start display at page:

Download "Forecasting Demand of Potential Factors in Data Centers"

Transcription

1 Iformaica Ecoomică vol. 3, o. /29 9 Forcasig Dmad of Poial Facors i Daa rs Alxadr PINNOW, Sfa OSTERBURG, Lars HANISH Oo-vo-Guric-Uivrsiy, Magdburg, Grmay {alxadr.piow sfa.osrburg lars.haisch}@ii.cs.ui-magdburg.d This papr dals wih forcasig dmad of poial facors i daa crs. Firsly i will dfi facors hmslvs ad hir imporac i h procss of daa crs. Th i will b show how hr sadard forcasig mhods ca b applid for prdicig capaciy ds i daa crs. Kywords: daa cr, forcas, capaciy plaig. Moivaio Nowadays, daa crs ar big ru icid-driv. Qui of furhr hardwar sysms ar isalld as a racio o w cusomr ds. Dspi acquisiio coss for furhr hardwar sysms big cosidrd ucriical, h xsio of h iformaio ifrasrucur lads o highr admiisraio, maiac, ad fially prsol coss. For a ffici usag of h xisig iformaio ifrasrucur, hr ar cocps such as Virual ad Adapiv ompuig o logically spara hard ad sofwar. Ralizig hs cocps allows abadoig iciddriv busiss srucurs. Thrfor, h adapio of suiabl procsss of opraiv producio plaig ad corol sms o b mos usful. Th plaig of uilizaio coms alog wih capaciy ad im maagm. Fudam for h capaciy ad im maagm is h producio plaig, which ca b coducd wih opimizaio modls ad forcasig procsss. Facors of a daa cr ar idifid i h followig chapr. Nx, forcasig procsss of producio program plaig ar applid i ordr o drmi h amou of cssary poial facors. 2. Facors Th daa cr as a producio sysm producs IT-srvics as oupu, which ar mad availabl o h cusomrs as IT-producs [8]. Such a producio sysm ca b dscribd by is producios facors. Facors which fulfill plaig, corollig, ad orgaizaioal aciviis ar labld as maagrial facors. Thy corol h combiaio of all producio facors. Producio facors ar dividd io raw marials ad supplis ad poial facors. Raw marials ad supplis ar cosumd durig h producio procss by bcomig par of h oupu or bcaus i is hir limiaio which abls h producio i h firs plac. Th capaciis of poial facors ar pu a h producio procss disposal wihou ay loss of hir produciv ffcivss [9]. Prsol, applicaio sysms, ad fudamal sysms ar major pars of h iformaio ifrasrucur i daa crs [2]. Applicaio sysms, fudamal sysms, as wll as h prsol chargd wih opraig h daa cr ca b cosidrd poial facors. Poial facors ca b ophysical ad physical. Applicaio sofwar ad fudamal sysms such as dvlopm virom, daa bas sysms, or opraioal sysms ar o-physical poial facors. Hardwar as a fudamal sysm ad h prsol, which is chargd wih opraig h ifrasrucur, is physical poial facors. Th maximum oupu of a poial facor is dscribd as capaciy [5]. Wh dscribig compur sysms as hardwar uis, hy ca b cosidrd as a s cosisig of procssor, sorag ad ipu/oupu dvics. Ipu/oupu dvics ar usd for h commuicaio wih h compur sysm. Th procssor rrivs isrucios from h sorag, dcods hs isrucios, ad fially xcus hm. Th hardwar compo sorag is dividd io primary ad scodary sorag. Primary

2 Iformaica Ecoomică vol. 3, o. /29 sorag holds h daa durig h immdia opraio of applicaio ad fudamal sysms [5]. Scodary sorag is o-volail sorag, usually dis sorag. Th capaciy of h scodary sorag ormally xcds h primary sorag svral ims [3]. Evry hardwar compo has a capaciy ha is dscribabl by a suiabl masur. A masur o xplai h procssors capaciy is h maximum umbr of opraios pr scod ha h procssor ca xcu [8]. Th valuaio of capaciy is coducd i millios of isrucios pr scod (MIPS). Th commuicaio of ipu/oupu dvics as plac via chals. A chal is h cocio bw h sdr of iformaio ad h rcivr. Th rasfr spd is drmid hrough badwidh [6], which is giv i bis/s [6]. Th sorag capaciy drmis how may sorag clls, which ca sor biary digis, hr ar o a mdium. Th capaciy valuaio is coducd i bi or by [4]. Th commuicaio wih xral sorag sysms as plac via ipu/oupu dvics. hal badwidh ds rcogiio alog wih sorag capaciy. Th dvlopm of h hardwar compo capaciy ca b dscribd hrough Moor s Law, which xplais ha h umbr of rasisors i a igrad circui doubls approximaly vry 8 mohs [5]. Th hardwar compos capaciy grows xpoially dpdig o im. Th facor dscribs h iiial capaciy. Th xpo is h growh ra. () = (2.) Th followig is valid for h - muliplicaio of capaciy wihi h im T : = ( T ), = T l =, l = T, = T (2.2) Th growh ra for doublig h capaciy vry.5 priods is: l 2 = (2.3) If all q hardwar uis of h arlis graio wr subsiud by q rc hardwar uis i his modl, h h ovrall capaciy of h hardwar compos i h daa cr icrass: h daa cr s ovrall capaciy Hardwar i h mom is h sum of oal capaciis of ach hardwar graio i h daa cr. From formula (2.) follows: Hardwar () = q * = (2.4) A daa cr cosiss of graios wih q hardwar uis. Th capaciy of h arlis hardwar graio is dscribd by formula 2.5: = ( ) (2.5) Th rsulig capaciy for h daa cr (2.4) is: ( ) () = q Hardwar = = q = (2.6) This is a gomric sris ad hus, ca b rasformd: ( ) Hardwar () = q = q ( ) = q (2.7) ( ) = q ( ) = q ( ) Hc, h ovrall capaciy of h daa cr s hardwar compos grows xpoially T as wll, y i grows slowr ha h capaciy of hardwar compos i avrag. This ffc is du o h usag of hardwar compos from oldr graios. Th followig is valid for h avrag capaciy φ of a daa cr wih hardwar graios, ach quippd wih q hardwar Hardwar uis:

3 Iformaica Ecoomică vol. 3, o. /29 () Hardwar q q = = φ (2.8) If a daa cr mploys mor ha o hardwar graio, h avrag capaciy φ Hardwar of h daa cr will grow slowr ha h commo capaciy. Th avrag capaciy is qual o h commo capaciy i h spcial cas of h daa cr cosisig of oly o curr hardwar graio: () () Hardwar δ δ δ δ φ for N R, > (2.9) R, > Th rsul of h firs drivaiv is: (2.) I is prov by mahmaical iducio, ha: (2.) Iquaio 2. holds for = : (2.2) Th iduciv sp for iquaio 2. rsuls o: (2.3) Th xpoial fucio is > udr h codiio of >, hc i mus b ru ha: q..d. (2.4) Fig.. Dvlopm of procssor capaciy Fig. shows h dvlopm of procssor capaciy i a daa cr udr h assumpios ha h capaciy doubls vry wo priods, a hardwar graio is xchagd afr fiv priods, ad h iiial capaciy is 8 MIPS. Th xpoially icrasig capaciy of hardwar compos ar also dmadd by h cusomrs. Th compsaio of chological progrss hrough highr cosumpio of rsourcs is ow as h Rboud-ffc []. Th icras i cosumpio of rsourcs is calld primary Rboud-ffc [7]. Th capaciy of poial facors hld availabl dos o rprs h acual dmad. A dmad progosis is cssary, i ordr o rval h acual dmad of poial facors, which will b discussd i h followig chapr.

4 2 Iformaica Ecoomică vol. 3, o. /29 3. Dmad Forcas omig alog wih h producio plaig, forcasig procdurs ar usd wih h goal o prdic h fuur dmad of raw marials ad supplis basd o hir hisoric dmad [6]. I cas of rgular d o disiguishs bw forcasig procdurs for cosaly, rdily, ad sasoally flucuaig dmad. Procdurs for rdy dmad ca always b usd isad of forcasig mhods for cosa dmad. I h spcial cas of cosa dmad h rd coms o zro []. Forcasig mhods for sasoally flucuaig dmad ar mos ssibly usd i sasoal cycls. Liar rgrssio is h bs-ow dmad forcasig mhod for a rdy dmad [], ad so is Brow s Liar Expoial Smoohig [2] as wll as Hol s mhod [4]. Th miod forcasig modls rly o h assumpio ha h lvl of dmad liar rd ovr im. This mas ha [6]: y b b ε = (3.) Th variabl b rfrs o h axis scio of h rd li. Facor b dscribs h slop of h rd li. Th idpd variabl rprss h chroological cours. Radom flucuaios ar displayd via є. I formula 3. є is ormal-sadard disribud wih a aicipaio rm of E є = [9]. Furhr forcasig procdurs xis for rd-li courss of highr ordr. Liarizaio is cssary i advac if hs masurs ar mployd []. Th followig liar rasformaio rsuls i cas of xpoial dmad fucios [7]: y l y l y = b ε = lb = b b b lε b b = lb (3.2) Producio plaig should adap forcasig procdurs as a mhod o drmi h dmad of poial facors. Th avrag capaciy dmad of hardwar uis shall b simad usig of his mhod. Th applicaio of forcasig procdurs is usful bcaus h pas dmad of capaciis ca b ascraid wih rspciv ools. Usually, oly o hird or lss of h hardwar capaciis ar mployd. If a poial facor is o fully uilizd, h is dgr of uilizaio rflcs is acual dmad. Hc, h dvlopm of avrag uilizaio of capaciy ca srv as daa bas for forcasig procdurs. Th progosis for ach hardwar ui is coducd sparaly. Th avrag uilizaio of capaciy of ach hardwar compo pr hardwar ui is drmid via h rspciv masurig ools. Th avrag capaciy dmad c is drmid by h avrag uilizaio of capaciy of hardwar compos ŋ pr hardwar ui i: ci = ηi i (3.3) Th avrag capaciy dmad of a hardwar compo c rsuls from h sum of h sigl dmad of capaciy: c = c i i= (3.4) Th avrag procssor capaciis displayd i abl srv as daa sampl. Th capaciy dmad for poial facors is o fr from sasoal flucuaios. Thus, h progosis priod is dimsiod so ha i compasss a compl sasoal cycl bcaus hardwar uis cao b isalld ad d-isalld wih sasoal dpdcy. Th show forcasig procdurs ar applicabl bcaus h growh of capaciy dmad follows a xpoial rd ad sasoal flucuaios mus o b cosidrd. Tabl. Masurd avrag procssor capaciy dmad Priod apaciy c i MIPS l c I ordr o prdic h avrag procssor capaciy dmad, a liar rgrssio, Brow s Liar Expoial Smoohig, ad h Hol s mhod ar coducd. Th dvlopm of dmad follows a xpoial

5 Iformaica Ecoomică vol. 3, o. /29 3 rd. Liarizig h xpoial valus accordig o formula 3.2 is compulsory wih h iio of applyig h dscribd forcasig procdurs. Th liarizaio rsuls show i abl as wll. Fig. 2 shows h dvlopm of h avrag dmad of procssor capaciy for daa crs ad h liarizaio rsuls. Suiabl valus for paramr α hav o b simad wih h goal of achivig saisfyig forcas rsuls wih h Brow s Liar Expoial Smoohig. For h simaio of h smoohig cosa of firs ordr, havig sampls, h followig rul is suggsd [3]: 2 α = (3.5) Fig. 2. Masurd valus of procssor capaciy Th smoohig cosa of m-h ordr is rlad o h smoohig cosa of firs ordr [2]: α = ( α ) m m (3.6) Smoohig cosa α is simad o α =.8 for h igh prs sampls. α is rusd for h Hol s mhod. Du o simplificaio rasos, smoohig paramr β is cosidrd as a paramr of h x highr ordr ad simad a β =.84. Th progosicad valus of h las four priods of h rspciv forcasig procdur ar compard o h rlva sampl valus wih h aim of valuaig h forcasig procdur s rsuls. Th sampl valus of h firs four priods oly srv as a daa bas. Th prdicio of h valus for o priod is oly coducd a had of h prcdig priod s sampl valus. I abl 2 o ca s h forcasig rsuls ŷ as wll as h rsidual valus ε of h forcasig procdurs ou of h las four priods. Tabl also shows h sadard dviaio valus of h rsidu σ ε, which wr calculad i a x-posaalysis. Hol s mhod has h smalls sadard dviaio valu of h rsidu. Hc, h procdur dlivrs h bs rsuls for h prs sampl valus i coopraio wih h giv smoohig paramr.

6 4 Iformaica Ecoomică vol. 3, o. /29 Tabl 2. Rsidu valus of h forcasig procdurs Brow s Liar Expoial Liar rgrssio Smooh- ig Hol s mhod α β ε ε ε Th avrag procssor capaciy dmadd ĉ i priod 9 is: yˆ cˆ = = 269MIPS (3.7) 9 4. oclusios Th capaciy of mos hardwar compos pr daa cr grows xpoially. Th Rboud-ffc dscribs h circumsac ha h xra capaciis ar cosumd by h cusomr as wll. Liar rgrssio, Brow s Liar Expoial Smoohig, ad Hol s mhod ca b mployd i ordr o prdic h avrag capaciy dmad of hardwar compos i daa crs. Th sampl daa of avrag uilizaio of capaciy of prcdig priods srvs as daa bas. Th hardwar compos capaciis ar usually dimsiod so ha hir uilizaio of capaciy is lowr ha o-hird. Thus, h uilizaio of capaciy of hardwar compos is suiabl as daa bas. Th daa collcio is coducd wih h cssary masurig ools. Th rsul of h forcas is h xpcd avrag dmad of capaciy for h succdig priod. Th dmad of capaciy is o cosa ovr h priod bu is xplaid via a disribuio fucio. apaciy shorags ca b prvd bcaus o ca cofigur h capaciy of hardwar compos wih h hlp of saisical procdurs ha ar basd o h avrag uilizaio of capaciy. Hc, h show forcasig procdurs ar a corrso for h acual capaciy plaig. Rfrcs [] R. G. Brow. Marials maagm sysms: a modular library. Malabar, Fla.: Krigr, 984, pp [2] R. G. Brow ad R. F. Myr. Th fudamal Thorm of Expoial Smoohig. Opraios Rsarch: h joural of h Opraios Rsarch Sociy of Amrica, Vol. 9, No. 5, 96, pp [3] S. A. DLurgio. Forcasig pricipls ad applicaios. Boso, Mass. a.o: McGraw-Hill, 988, p. 56. [4].. Hol. Forcasig sasoals ad rds by xpoially wighd movig avrags. I: Iraioal joural of forcasig, vol. 2, 27, pp. 5-. [5] W. Kr, W. Idusrill Produioswirschaf. Poschl: Sugar, 992, pp. 2. [6] H. Klima, R. Piorasch ad D. SchöfldIformaios- ud Kodirugshori. Sugar: Tubr, 26, pp. 75, 86. [7] R. Kuhl. Wisssöologi, i: Kuhl, R./Sgr, T./Srauch, D. : Grudlag dr praisch Iformaio ud Doumaio. Müch: Saur, 24, pp. 8. [8] H. Lagdörfr, H, Lisugsaalys vo Rchsysm: Mss, Modllir, Simulaio. Müch: Hasr, 992, pp. [9] S. Maridais, S.. Whlwrigh ad V. E. McG. Forcasig: mhods ad applicaios. a.o. Nw Yor : Wily, 983, p. 22. [] J. Nr al. Applid liar saisical modls. a.o. Boso, Mass.: McGraw- Hill, pp [] F. J. Radmachr. Buildig h Ifor-

7 Iformaica Ecoomică vol. 3, o. /29 5 maio Sociy: Labour Mar Prssurs, Globalisaio, ad h Poliical Goal of Susaiabiliy as hallgs o h Rgios i Europ. I: Surm, R., Wima, G.: Th iformaio sociy ad h rgios i Europ: a Briish- Grma compariso. Bad-Bad: Nomos-Vrl.-Gs, 2, p. 232 [2]. Rausrauch. Effizir Eisaz vo Arbisplazsysm -- Kozp ud Mhod ds Prsölich Iformaiosmaagms. a.o. Bo: Addiso-Wsly Logma, 997, pp. 3. [3] A. Hur ad G. Saa, Daba: Implmirugschi. Bo: MITP, 999, pp. 44. [4] H. J. Schidr. Lxio Iformai ud Davrarbiug. a.o. Müch: Oldbourg, 998, p. 82. [5] A. S. TabaumSrucurd compur orgaizaio. a.o. Eglwood liffs: Pric-Hall Ira, 999, p 25, 3. [6] H. Tmplmir. Marial-Logisi: Modll ud Algorihm für di Produiosplaug ud -surug i Advacd-Plaig-Sysm. a.o. Brli: Sprigr, 26, pp. 36, 5 [7] K. Wbr. Wirschafsprogosi. Müch: Vahl, 99, p. 7. [8] R. Zarow, W. Brr, U. Pilgram. Igrad Iformaio Maagm: Applyig Succssful Idusrial ocps, i IT. Brli, Hidlbrg: Sprigr, 26, p. 6. [9] G. Zäpfl, Grudzüg ds Produiosud Logisimaagms. Müch, Wi: Oldbourg, 2, pp 6. Alxadr PINNOW sudid Busiss ad ompur Scic uil 23. Th h word as sofwar gir spcializd i fiacial mars. Sic 26 h is sciific assisa a h Vry Larg Busiss Applicaios Lab of h Oovo-Guric-Uivrsiy i Magdburg, Grmay. His ara of rsarch is h daa cr as a producio faciliy for IT-srvics wih focus o capaciy maagm i adapiv ad virualizd daa crs. H publishd svral paprs i his fild of sudy. Th rsarch i his ara is a coopraio of h VLBA-Lab ad h Grmay basd IT-srvic providr T-Sysms. Sfa OSTERBURG sudid ompur Scic uil 2 ad passd his diploma wih disicio. H had word as a sofwar gir ad cosula for Microsof ERP sofwar (Dyamics AX) for svral yars, bfor i 26 h bcam sciific assisa a h Vry Larg Busiss Applicaios (VLBA) Lab of h Oo-vo-Guric-Uivrsiy i Magdburg. His ara of rsarch is h daa cr as a producio faciliy for IT-srvics wih focus o availabiliy maagm i adapiv ad virualizd daa crs. Th rsarch i his ara is a coopraio of h VLBA-Lab ad h Grmay basd IT-srvic providr T-Sysms. Lars HANISH has b sudyig Iraioal Maagm a h Oo-vo- Guric Uivrsiy Magdburg sic 23. Durig his sudis h word for Volswag i Grmay ad hia cosulig h maagm of h Tchical Dvlopm dparm. Furhrmor, h assisd h rsarch of h Oovo-Guric-Uivrsiy i Magdburg, focusig o Erpris Rsourc Plaig Sysms for IT srvic providrs. His ara of rsarch irss ar iraioal coopraio ad iraioal supply chai maagm.

CEO Björn Ivroth. Oslo, 29 April 2015. Q1 2015 Presentation

CEO Björn Ivroth. Oslo, 29 April 2015. Q1 2015 Presentation CEO Björ Ivroh Oslo, 29 April 2015 2015 Prsaio Par I `15 Rpor o Highlighs o Group o Sgms o Fiac Par II Mark oulook Summary Appdix 2015 prsaio 2 Highlighs Lyg Bidco AS has acquird 88 % of h shars o No icludig

More information

SIF 8035 Informasjonssystemer Våren 2001

SIF 8035 Informasjonssystemer Våren 2001 SIF 8035 Iformasjossysmr Vår 2001 Øvig 6 SAP Løsigsforslag Cas scripio Th compay IDES AG is a Grma-bas car proucr, which buys car pars (bumprs) from BMW a Volkswag. Th compay is maag from Hamburg, hough

More information

Decision Making in Finance: Time Value of Money, Cost of Capital and Dividend Policy

Decision Making in Finance: Time Value of Money, Cost of Capital and Dividend Policy Chapr 11 Dcisio Maig i Fiac: Tim Valu of Moy, Cos of Capial ad Dividd olicy Babia Goyal Ky words: rs valu of a flow, fuur valu of a flow, auiy, doublig priod, compoudig, ffciv irs ra, omial irs ra, rur,

More information

Numerical Algorithm for the Stochastic Present Value of Aggregate Claims in the Renewal Risk Model

Numerical Algorithm for the Stochastic Present Value of Aggregate Claims in the Renewal Risk Model Gn. Mah. Nos, Vol. 9, No. 2, Dcmbr, 23, pp. 4- ISSN 229-784; Copyrigh ICSRS Publicaion, 23 www.i-csrs.org Availabl fr onlin a hp://www.gman.in Numrical Algorihm for h Sochasic Prsn Valu of Aggrga Claims

More information

Problem Set 6 Solutions

Problem Set 6 Solutions 6.04/18.06J Mathmatics for Computr Scic March 15, 005 Srii Dvadas ad Eric Lhma Problm St 6 Solutios Du: Moday, March 8 at 9 PM Problm 1. Sammy th Shar is a fiacial srvic providr who offrs loas o th followig

More information

How To Work For A Company

How To Work For A Company Trasformig Ass Capabiliis a Bord Gáis Nworks Paul Lo EGATEC 2011 Cos Ovrviw of Bord Gáis Nworks Visio ad Scop of h Nworks Trasformaio Programm Dvlopm of Ass Dparm Challgs ad Bfis 2 2 Bord Gáis Nworks Ovrviw

More information

www.akcp.com Virtual Sensors

www.akcp.com Virtual Sensors www.akcp.cm Irduci: Virual Ssrs Virual ssrs ca b a vry pwrful l i yur mirig sysm. O h scuriyprb yu ca hav up 80 f hs virual ssrs ad hy allw fr a muliud f applicais. Igrai wih MODBUS wrks wih h scuriyprb

More information

Statistical Analysis and Empirical Study for Life Insurance

Statistical Analysis and Empirical Study for Life Insurance Vo 3, No Iraioa Joura of Busiss ad Maagm Saisica Aaysis ad Emirica Sudy for Lif Isurac Xiag Jiag, Jia Ni Guagi Mdica ad Pharmacuica Cog, Naig 532, Chia T: 86-77-2853-644 E-mai: gj@26com Wii Wu Guagi Idusria

More information

Analysis Method of Traffic Congestion Degree Based on Spatio-Temporal Simulation

Analysis Method of Traffic Congestion Degree Based on Spatio-Temporal Simulation (IJACSA) Iraioal Joural of Advad Compur Si ad Appliaios, Vol. 3, o.4, 2012 Aalysis hod of Traffi Cogsio Dgr Basd o Spaio-Tmporal Simulaio Shuli H Dparm of aagm Liaoig poli Aadmy Dalia 116036, Chia Absra

More information

Many quantities are transduced in a displacement and then in an electric signal (pressure, temperature, acceleration). Prof. B.

Many quantities are transduced in a displacement and then in an electric signal (pressure, temperature, acceleration). Prof. B. Displacmn snsors Many quaniis ar ransducd in a displacmn and hn in an lcric signal (prssur, mpraur, acclraion). Poniomrs Poniomrs i p p i o i p A poniomr is basd on a sliding conac moving on a rsisor.

More information

Bullwhip Effect Measure When Supply Chain Demand is Forecasting

Bullwhip Effect Measure When Supply Chain Demand is Forecasting J. Basic. Appl. Sci. Res., (4)47-43, 01 01, TexRoad Publicaio ISSN 090-4304 Joural of Basic ad Applied Scieific Research www.exroad.com Bullwhip Effec Measure Whe Supply Chai emad is Forecasig Ayub Rahimzadeh

More information

Term Structure of Interest Rates: The Theories

Term Structure of Interest Rates: The Theories Handou 03 Econ 333 Abdul Munasb Trm Srucur of Inrs Ras: Th Thors Trm Srucur Facs Lookng a Fgur, w obsrv wo rm srucur facs Fac : Inrs ras for dffrn maurs nd o mov oghr ovr m Fac : Ylds on shor-rm bond mor

More information

Chad Saunders 1, Richard E Scott 2

Chad Saunders 1, Richard E Scott 2 Chad Sauds 1, Richad E Sco 2 1 Haskay School of Busiss. 2 Dpam of Commuiy Halh Scics ad Family Mdici / Dico, Offic of Global -Halh Sagy. Uivsiy of Calgay, Calgay, Alba, Caada Md--Tl 2013 Luxmboug, G. D.

More information

INFLUENCE OF DEBT FINANCING ON THE EFFECTIVENESS OF THE INVESTMENT PROJECT WITHIN THE MODIGLIANIMILLER THEORY

INFLUENCE OF DEBT FINANCING ON THE EFFECTIVENESS OF THE INVESTMENT PROJECT WITHIN THE MODIGLIANIMILLER THEORY VOUME 2, 2 NFUENCE OF DEBT FNANCNG ON THE EFFECTVENE OF THE NVETMENT PROJECT WTHN THE MODGANMER THEORY Pr Brusov, Taaa Flaova, Naal Orhova, Pavl Brusov, Nasa Brusova Fac Uvrsy ur h Govrm of h Russa Frao,

More information

Traffic Flow Analysis (2)

Traffic Flow Analysis (2) Traffic Flow Analysis () Statistical Proprtis. Flow rat distributions. Hadway distributions. Spd distributions by Dr. Gang-Ln Chang, Profssor Dirctor of Traffic safty and Oprations Lab. Univrsity of Maryland,

More information

Rapid Estimation of Water Flooding Performance and Optimization in EOR by Using Capacitance Resistive Model

Rapid Estimation of Water Flooding Performance and Optimization in EOR by Using Capacitance Resistive Model Iranian Journal of Chmical Enginring Vol. 9, No. 4 (Auumn), 22, IAChE Rapid Esimaion of War Flooding Prformanc and Opimizaion in EOR by Using Capacianc Rsisiv Modl A.R. Basami, M. Dlshad 2, P. Pourafshary

More information

PARTICULAR RELIABILITY CHARACTERISTICS OF TWO ELEMENT PARALLEL TECHNICAL (MECHATRONIC) SYSTEMS

PARTICULAR RELIABILITY CHARACTERISTICS OF TWO ELEMENT PARALLEL TECHNICAL (MECHATRONIC) SYSTEMS Maagm Sysms Produco Egrg No 3 7 pp 3 8 PARICULAR RELIABILIY CHARACERISICS O WO ELEMEN PARALLEL ECHNICAL MECHARONIC SYSEMS Zbgw MAUSZAK Marm Uvrsy o Szczc Absrac: h papr characrzs h basc dsrbuos o alur

More information

QUANTITATIVE METHODS CLASSES WEEK SEVEN

QUANTITATIVE METHODS CLASSES WEEK SEVEN QUANTITATIVE METHODS CLASSES WEEK SEVEN Th rgrssion modls studid in prvious classs assum that th rspons variabl is quantitativ. Oftn, howvr, w wish to study social procsss that lad to two diffrnt outcoms.

More information

TIME VALUE OF MONEY: APPLICATION AND RATIONALITY- AN APPROACH USING DIFFERENTIAL EQUATIONS AND DEFINITE INTEGRALS

TIME VALUE OF MONEY: APPLICATION AND RATIONALITY- AN APPROACH USING DIFFERENTIAL EQUATIONS AND DEFINITE INTEGRALS MPRA Muich Prsoal RPEc Archiv TIME VALUE OF MONEY: APPLICATION AND RATIONALITY- AN APPROACH USING DIFFERENTIAL EQUATIONS AND DEFINITE INTEGRALS Mahbub Parvz Daffodil Itratioal Uivrsy 6. Dcmbr 26 Oli at

More information

AP Calculus AB 2008 Scoring Guidelines

AP Calculus AB 2008 Scoring Guidelines AP Calculus AB 8 Scoring Guidlins Th Collg Board: Conncting Studnts to Collg Succss Th Collg Board is a not-for-profit mmbrship association whos mission is to connct studnts to collg succss and opportunity.

More information

MTBF: Understanding Its Role in Reliability

MTBF: Understanding Its Role in Reliability Modul MTBF: Undrsanding Is Rol in Rliabiliy By David C. Wilson Foundr / CEO March 4, Wilson Consuling Srvics, LLC [email protected] www.wilsonconsulingsrvics.n Wilson Consuling Srvics, LLC Pag

More information

FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND

FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND by Wachareepor Chaimogkol Naioal Isiue of Developme Admiisraio, Bagkok, Thailad Email: [email protected] ad Chuaip Tasahi Kig Mogku's Isiue of Techology

More information

Minneapolis Portfolio Management Group, LLC

Minneapolis Portfolio Management Group, LLC Minnapolis Porfolio Managmn Group, 80 LLC Souh 8h Sr, Sui 1902 Minnapolis, Minnsoa 55402 PODUCT OVEVIEW Minnapolis Por. Mgm. Group (MPMG) blivs ha pric is vryhing. I is hir obsrvaion ha Wall Sr is as much

More information

QUALITY OF DYING AND DEATH QUESTIONNAIRE FOR NURSES VERSION 3.2A

QUALITY OF DYING AND DEATH QUESTIONNAIRE FOR NURSES VERSION 3.2A UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE QUALITY OF DYING AND DEATH QUESTIONNAIRE FOR NURSES VERSION 3.2A Plas rurn your compld qusionnair in h nclosd nvlop o: [Rurn Addrss] RNID PID Copyrigh by h Univrsiy

More information

The Sensitivity of Beta to the Time Horizon when Log Prices follow an Ornstein- Uhlenbeck Process

The Sensitivity of Beta to the Time Horizon when Log Prices follow an Ornstein- Uhlenbeck Process T Snsiiviy of Ba o Tim Horizon wn Log Prics follow an Ornsin- Ulnbck Procss Oc 8, 00) KiHoon Jimmy Hong Dparmn of Economics, Cambridg Univrsiy Ocobr 4, 00 Sv Sacll Triniy Collg, Cambridg Univrsiy Prsnaion

More information

Numerical modeling of metal cutting processes using the Particle Finite Element Method

Numerical modeling of metal cutting processes using the Particle Finite Element Method Numrical modlig of mal cuig rocsss usig h Paricl Fii Elm Mhod by Jua Maul Rodriguz Prio Advisors Jua Carlos Ca Trá Xavir Olivr Olivlla Barcloa, Ocobr 3 Absrac Mal cuig or machiig is a rocss i which a

More information

Removal of Cu(II) from Water by Adsorption on Chicken Eggshell

Removal of Cu(II) from Water by Adsorption on Chicken Eggshell Inrnaional Journal of Enginring & Tchnology IJET-IJENS Vol:3 No: 4 Rmoval of u(ii) from War by Adsorpion on hickn Eggshll Nurul Aimi bini Rohaizar*, Norhafizah bini Abd. Hadi*, Wong h Sin* Absrac Th us

More information

Integrating Enterprise Security Infrastructure with Cloud Computing

Integrating Enterprise Security Infrastructure with Cloud Computing Irai Erpris Scuriy Ifrasrucur wih Cloud Compui Olivr Pfaff Corpora Tcholoy Sims G 81739 Muich, Grmay Sbasia Ris Corpora Tcholoy Sims G 81739 Muich, Grmay bsrac Tradiioal rpriss hav hir roos i o-prmiss

More information

GENETIC ALGORITHMS IN SEASONAL DEMAND FORECASTING

GENETIC ALGORITHMS IN SEASONAL DEMAND FORECASTING forcasing, dmand, gnic algorihm Grzgorz Chodak*, Wiold Kwaśnicki* GENETIC ALGORITHMS IN SEASONAL DEMAND FORECASTING Th mhod of forcasing sasonal dmand applying gnic algorihm is prsnd. Spcific form of usd

More information

Mid Cap Growth Select UMA Congress Asset Management Company

Mid Cap Growth Select UMA Congress Asset Management Company Mid Cap Growh Congrss Ass Managmn Company 2 Sapor Lan, 5h Floor Boson, Massachuss 02210 Syl: Sub-Syl: Firm AUM: Firm Sragy AUM: US Mid Cap Growh Consrvaiv Growh $5.9 billion $1,035,925.3 billion Yar Foundd:

More information

Silvercrest Asset Management Group, LLC

Silvercrest Asset Management Group, LLC Silvrcrs Small Cap Valu Silvrcrs Ass Managmn Group, LLC 1330 Avnu of h Amricas, 38h Floor Nw York, Nw York 10019 Syl: Sub-Syl: Firm AUM: Firm Sragy AUM: US Small Cap Valu laiv Valu Yar Foundd: GIMA Saus:

More information

Approximate Counters for Flash Memory

Approximate Counters for Flash Memory Approximat Coutrs for Flash Mmory Jack Cichoń ad Wojcich Macya Istitut of Mathmatics ad Computr Scic Wrocław Uivrsity of Tchology, Polad Abstract Flash mmory bcoms th a vry popular storag dvic Du to its

More information

Applied Eq Adv-Gbl Concen Fiduciary Services Applied Equity Advisors

Applied Eq Adv-Gbl Concen Fiduciary Services Applied Equity Advisors Applid Eq Adv-Gbl Concn Applid Equiy Advisors 440 S. LaSall Sr, 38h Floor Chicago, Illinois 60605 Syl: Sub-Syl: Firm AUM: Firm Sragy AUM: Global Equiis Blnd $5.1 billion $1.8 billion^ Yar Foundd: GIMA

More information

Lateef Investment Management, L.P. 300 Drakes Landing Road, Suite 210 Greenbrae, California 94904

Lateef Investment Management, L.P. 300 Drakes Landing Road, Suite 210 Greenbrae, California 94904 Laf Invsmn Managmn, L.P. 300 Draks Landing oad, Sui 210 Grnbra, California 94904 Sragy Saus: Closd Sragy closd o nw accouns and opn o addiional asss Syl: Sub-Syl: Firm AUM: Firm Sragy AUM: US Larg Cap

More information

RIG Global Growth Fiduciary Services RiverFront Investment Group, LLC

RIG Global Growth Fiduciary Services RiverFront Investment Group, LLC IG Global Growh ivrfron Invsmn Group, LLC 1214 E. Cary Sr ichmond, Virginia 23219 Syl: Sub-Syl: Firm AUM: Firm Sragy AUM: Global Muli Ass Global Tacical Ass Alloc $2.9 billion^ $522.1 million Yar Foundd:

More information

Technological Entrepreneurship : Modeling and Forecasting the Diffusion of Innovation in LCD Monitor Industry

Technological Entrepreneurship : Modeling and Forecasting the Diffusion of Innovation in LCD Monitor Industry 0 Inrnaional Confrnc on Economics and Financ Rsarch IPEDR vol.4 (0 (0 IACSIT Prss, Singaor Tchnological Enrrnurshi : Modling and Forcasing h Diffusion of Innovaion in LCD Monior Indusry Li-Ming Chuang,

More information

A formulation for measuring the bullwhip effect with spreadsheets Una formulación para medir el efecto bullwhip con hojas de cálculo

A formulation for measuring the bullwhip effect with spreadsheets Una formulación para medir el efecto bullwhip con hojas de cálculo irecció y rgaizació 48 (01) 9-33 9 www.revisadyo.com A formulaio for measurig he bullwhip effec wih spreadshees Ua formulació para medir el efeco bullwhip co hojas de cálculo Javier Parra-Pea 1, Josefa

More information

Uniplan REIT Portfolio Fiduciary Services Uniplan Investment Counsel, Inc.

Uniplan REIT Portfolio Fiduciary Services Uniplan Investment Counsel, Inc. Uniplan EIT Porfolio Uniplan Invsmn Counsl, Inc. 22939 W Ovrson d Union Grov, Wisconsin 53182 Syl: Sub-Syl: Firm AUM: Firm Sragy AUM: EITs EITs Domsic $2.2 billion $1.3 billion Yar Foundd: GIMA Saus: Firm

More information

Free ACA SOLUTION (IRS 1094&1095 Reporting)

Free ACA SOLUTION (IRS 1094&1095 Reporting) Fr ACA SOLUTION (IRS 1094&1095 Rporting) Th Insuranc Exchang (301) 279-1062 ACA Srvics Transmit IRS Form 1094 -C for mployrs Print & mail IRS Form 1095-C to mploys HR Assist 360 will gnrat th 1095 s for

More information

US Small Cap Value. $8.2 billion $1.3 billion

US Small Cap Value. $8.2 billion $1.3 billion Sysmaic Financial Managmn, L.P. 300 Frank W. Burr Blvd. - 7h Floor Tanck, Nw Jrsy 07666 PODUCT OVEVIEW Sysmaic Financial Managmn, L.P blivs focusing on companis ha can rir all ousanding db wihin n yars

More information

Brussels, February 28th, 2013 WHAT IS

Brussels, February 28th, 2013 WHAT IS Brussls, Fbruary 28h, 2013 WHAT IS 1 OPEN SOURCE 2 CLOUD 3 SERVICES 4 BROKER 5 INTERMEDIATION AGGREGATION ARBITRAGE Cloud Srvics Brokr provids a singl consisn inrfac o mulipl diffring providrs, whhr h

More information

Dehumidifiers: A Major Consumer of Residential Electricity

Dehumidifiers: A Major Consumer of Residential Electricity Dhumidifirs: A Major Consumr of Rsidntial Elctricity Laurn Mattison and Dav Korn, Th Cadmus Group, Inc. ABSTRACT An stimatd 19% of U.S. homs hav dhumidifirs, and thy can account for a substantial portion

More information

Category 7: Employee Commuting

Category 7: Employee Commuting 7 Catgory 7: Employ Commuting Catgory dscription This catgory includs missions from th transportation of mploys 4 btwn thir homs and thir worksits. Emissions from mploy commuting may aris from: Automobil

More information

PSYCHOLOGY AT SUNY POTSDAM

PSYCHOLOGY AT SUNY POTSDAM PSYCHOLOGY AT SUNY POTSDAM Ars & Scincs Awards Crmony A Fall 2014 Easrn Psychological Ars Associaion & Scincs Confrnc 1 Award Crmony 1 Psychology 2014 Awards..2 2 Gradua Gradua School School upda Upda..4

More information

Uniplan REIT Portfolio Select UMA Uniplan Investment Counsel, Inc.

Uniplan REIT Portfolio Select UMA Uniplan Investment Counsel, Inc. Uniplan EIT Porfolio Uniplan Invsmn Counsl, Inc. 22939 W Ovrson d Union Grov, Wisconsin 53182 Syl: Sub-Syl: Firm AUM: Firm Sragy AUM: EITs EITs Domsic $2.2 billion $1.3 billion Yar Foundd: GIMA Saus: Firm

More information

Managing Learning and Turnover in Employee Staffing*

Managing Learning and Turnover in Employee Staffing* Maagig Learig ad Turover i Employee Saffig* Yog-Pi Zhou Uiversiy of Washigo Busiess School Coauhor: Noah Gas, Wharo School, UPe * Suppored by Wharo Fiacial Isiuios Ceer ad he Sloa Foudaio Call Ceer Operaios

More information

Investment Grade Fixed Income Fiduciary Services Cincinnati Asset Management

Investment Grade Fixed Income Fiduciary Services Cincinnati Asset Management Invsmn Grad Fixd Incom Cincinnai Ass Managmn 8845 Govrnor's Hill Driv Cincinnai, Ohio 45249 Syl: US Taxabl Cor Sub-Syl: Taxabl Corpora Firm AUM: $2.5 billion Firm Sragy AUM: $1.7 billion Yar Foundd: GIMA

More information

Estimating Powers with Base Close to Unity and Large Exponents

Estimating Powers with Base Close to Unity and Large Exponents Divulgacions Mamáicas Vol. 3 No. 2005), pp. 2 34 Esimaing Powrs wih Bas Clos o Uniy and Larg Exponns Esimacón d Poncias con Bas Crcana a la Unidad y Grands Exponns Vio Lampr [email protected]) FGG,

More information

Western Asset Core Plus Portfolios Select UMA Western Asset Management

Western Asset Core Plus Portfolios Select UMA Western Asset Management Wsrn Ass Cor Plus Porfolios Wsrn Ass Managmn 100 Inrnaional Driv Balimor, Maryland 21202 Syl: US Taxabl Cor Sub-Syl: Taxabl Cor Plus Firm AUM: $446.1 billion Firm Sragy AUM: $2.5 billion^ Yar Foundd: GIMA

More information

PREFERRED LIFE INSURANCE NORTH AMERICA

PREFERRED LIFE INSURANCE NORTH AMERICA PREFERRED LIFE INSURANCE NORTH AMERICA Dat: Spt, 2011 Ditr Gaubatz Agda 1. Copt 2. History 3. Data 4. Futur 1 Copt No-prfrrd plas Normal mortality risk valuatio pross P r v a l ^ i r a s Issud at stadard

More information

Chapter 20: Database Programming

Chapter 20: Database Programming Chapr 20: Daaa Prgrammig Pag 303 Chapr 20: Daaa Prgrammig Thi chapr wi hw hw BASIC-256 ca cc a imp raia aaa a u i r a rriv ufu ifrmai. Wha i a Daaa: A aaa i impy a rgaiz cci f umr, rig, a hr yp f ifrmai.

More information

Large Cap Equity Fiduciary Services Fayez Sarofim & Co.

Large Cap Equity Fiduciary Services Fayez Sarofim & Co. Larg Cap Equiy Fayz & Co. Two Houson Cnr, 909 Fannin Sr - Sui 2907 Houson, Txas 77010 Syl: Sub-Syl: Firm AUM: Firm Sragy AUM: US Larg Cap Blnd $23.3 billion $17.1 billion Yar Foundd: GIMA Saus: Firm Ownrship:

More information

Investment Grade Fixed Income Select UMA Cincinnati Asset Management

Investment Grade Fixed Income Select UMA Cincinnati Asset Management Invsmn Grad Fixd Incom Cincinnai Ass Managmn 8845 Govrnor's Hill Driv Cincinnai, Ohio 45249 Syl: US Taxabl Cor Sub-Syl: Taxabl Corpora Firm AUM: $2.7 billion Firm Sragy AUM: $2.0 billion Yar Foundd: GIMA

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

How To Get A Better Price On A Drug

How To Get A Better Price On A Drug Biomial approximaio mhos for opio pricig Yasir hrwai U.U.D.M. Proc Rpor 7: Examsarb i mamaik poäg Halar och xamiaor: Joha ysk Ji 7 Dparm of Mahmaics Uppsala Uivrsiy Biomial Approximaio Mhos for Opio Pricig

More information

CFD-Calculation of Fluid Flow in a Pressurized Water Reactor

CFD-Calculation of Fluid Flow in a Pressurized Water Reactor Journal of Scincs, Islamic Rpublic of Iran 19(3): 73-81 (008) Univrsiy of Thran, ISSN 1016-1104 hp://jscincs.u.ac.ir CFD-Calculaion of Fluid Flow in a Prssurizd War Racor H. Farajollahi, * A. Ghasmizad,

More information

GIS Strategic 10 Dividend Select UMA Global Investment Solutions - Strategic Portfolios

GIS Strategic 10 Dividend Select UMA Global Investment Solutions - Strategic Portfolios Global Invsmn Soluions - Sragic Porfolios 2000 Wschsr Av. Purchas, Nw York 10577 Syl: Sub-Syl: Firm AUM: Firm Sragy AUM: US Larg Cap Valu $4.7 billion^ $86.8 million^ Yar Foundd: GIMA Saus: Firm Ownrship:

More information

CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING

CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING Q.1 Defie a lease. How does i differ from a hire purchase ad isalme sale? Wha are he cash flow cosequeces of a lease? Illusrae.

More information

Finite Dimensional Vector Spaces.

Finite Dimensional Vector Spaces. Lctur 5. Ft Dmsoal Vctor Spacs. To b rad to th musc of th group Spac by D.Maruay DEFINITION OF A LINEAR SPACE Dfto: a vctor spac s a st R togthr wth a oprato calld vctor addto ad aothr oprato calld scalar

More information

Subject: Quality Management System Requirements SOP 4-1-0-1 -

Subject: Quality Management System Requirements SOP 4-1-0-1 - SOP 4-1-0-1 - 1.) Scop: This SOP covrs h rquirmns for Pharmco s Qualiy Managmn Sysm. 2.) Normaiv Rfrncs: SOP 4-4-2: Qualiy Manual. SOP 4-2-3-A: Masr Lis of Conrolld Documns SOP 5-6-0 Managmn Rsponsibiliy

More information

BEST PRACTICES IN ENGAGING SMES DURING

BEST PRACTICES IN ENGAGING SMES DURING BEST PRACTICES IN ENGAGING SMES DURING A LEARNING CONTENT DEVELOPMENT PROJECT www.gpwrldwid.cm www.raiigidury.cm B Pracic fr Egagig SME Durig a C Dvlpm Prjc Traiig Idury, Ic ad Gral Phyic Crprai Survy

More information

Research Article Dynamic Pricing of a Web Service in an Advance Selling Environment

Research Article Dynamic Pricing of a Web Service in an Advance Selling Environment Hidawi Publishig Corporaio Mahemaical Problems i Egieerig Volume 215, Aricle ID 783149, 21 pages hp://dx.doi.org/1.1155/215/783149 Research Aricle Dyamic Pricig of a Web Service i a Advace Sellig Evirome

More information

Numerical and Experimental Study on Nugget Formation in Resistance Spot Welding for High Strength Steel Sheets in Automobile Bodies

Numerical and Experimental Study on Nugget Formation in Resistance Spot Welding for High Strength Steel Sheets in Automobile Bodies rasactios of JWRI, ol.38 (9), No. rasactios of JWRI, ol.38 (9), No. Numrical ad Exprimtal Study o Nuggt Formatio i Rsistac Spot Wldig for High Strgth Stl Shts i Automobil Bodis MA Nishu* ad MURAKAWA Hidkazu**

More information

US Large Cap. $15.6 billion $5.4 million

US Large Cap. $15.6 billion $5.4 million Alana Capial Managmn Co. 1075 Pachr Sr, Sui 2100 Alana, Gorgia 30309 PODUCT OVEVIEW High Qualiy Slc Equiy is a fundamnal cor approach ha invss in mid- o larg-cap companis in srong financial condiion and

More information

Mechanical Vibrations Chapter 4

Mechanical Vibrations Chapter 4 Mechaical Vibraios Chaper 4 Peer Aviabile Mechaical Egieerig Deparme Uiversiy of Massachuses Lowell 22.457 Mechaical Vibraios - Chaper 4 1 Dr. Peer Aviabile Modal Aalysis & Corols Laboraory Impulse Exciaio

More information

GROUP MEDICAL INSURANCE PROPOSAL FORM GROUP MEDICAL INSURANCE PROPOSAL FORM

GROUP MEDICAL INSURANCE PROPOSAL FORM GROUP MEDICAL INSURANCE PROPOSAL FORM Call us: 920012331 www.acig.com.sa Allid Cooprativ Isurac Group (ACIG) شركة املجموعة املتحدة للتاأمني التعاوين ) أ سيج( GROUP MEDICAL INSURANCE GROUP MEDICAL INSURANCE Clit Dtails: - GROUP MEDICAL INSURANCE

More information

Transient Thermoelastic Behavior of Semi-infinite Cylinder by Using Marchi-Zgrablich and Fourier Transform Technique

Transient Thermoelastic Behavior of Semi-infinite Cylinder by Using Marchi-Zgrablich and Fourier Transform Technique Inrnaional Journal of Mahmaical Enginring and Scinc ISSN : 77-698 Volum 1 Issu 5 (May 01) hp://www.ijms.com/ hps://sis.googl.com/si/ijmsjournal/ Transin Thrmolasic Bhavior of Smi-infini Cylindr by Using

More information

http://www.wwnorton.com/chemistry/tutorials/ch14.htm Repulsive Force

http://www.wwnorton.com/chemistry/tutorials/ch14.htm Repulsive Force ctivation nrgis http://www.wwnorton.com/chmistry/tutorials/ch14.htm (back to collision thory...) Potntial and Kintic nrgy during a collision + + ngativly chargd lctron cloud Rpulsiv Forc ngativly chargd

More information

A panel data approach for fashion sales forecasting

A panel data approach for fashion sales forecasting A pael daa approach for fashio sales forecasig Shuyu Re([email protected]), Tsa-Mig Choi, Na Liu Busiess Divisio, Isiue of Texiles ad Clohig, The Hog Kog Polyechic Uiversiy, Hug Hom, Kowloo, Hog Kog Absrac:

More information

High Quality High Yield Select UMA Seix Advisors

High Quality High Yield Select UMA Seix Advisors Six Advisors On Maynard Driv, Sui 3200 Park idg, Nw Jrsy 07656 Syl: High Yild Fixd Incom Sub-Syl: High Qualiy High Yild Fixd Incom Firm AUM: $28.2 billion Firm Sragy AUM: $4.4 billion Yar Foundd: GIMA

More information

Sharp bounds for Sándor mean in terms of arithmetic, geometric and harmonic means

Sharp bounds for Sándor mean in terms of arithmetic, geometric and harmonic means Qian t al. Journal of Inqualitis and Applications (015) 015:1 DOI 10.1186/s1660-015-0741-1 R E S E A R C H Opn Accss Sharp bounds for Sándor man in trms of arithmtic, gomtric and harmonic mans Wi-Mao Qian

More information

Why we use compounding and discounting approaches

Why we use compounding and discounting approaches Comoudig, Discouig, ad ubiased Growh Raes Near Deb s school i Souher Colorado. A examle of slow growh. Coyrigh 000-04, Gary R. Evas. May be used for o-rofi isrucioal uroses oly wihou ermissio of he auhor.

More information

A model of assessment in higher education institutions. Gordon Joughin and Ranald Macdonald. Summary. Keywords. Biography.

A model of assessment in higher education institutions. Gordon Joughin and Ranald Macdonald. Summary. Keywords. Biography. A modl of ssssm i highr ducio isiuios Gordo Joughi d Rld Mcdold Summry Assssm i highr ducio is complx phomo. A modl of ssssm comprisig four pricipl lvls wih umbr of ssocid lms ch lvl is suggsd s wy of

More information

CLOUD COMPUTING BUSINESS MODELS

CLOUD COMPUTING BUSINESS MODELS da MODLS Atlir d l iova CLOUD COMPUTING MODLS Chair coomi d l iova - Mourad Zroukhi C d chrch Écoomi t Maagmt Uivrsité d Chair coomi d l iova - da MODLS AGNDA Cloud Computig : What is it? Cloud Dploymt

More information

5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power

5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power Prim numbrs W giv spcial nams to numbrs dpnding on how many factors thy hav. A prim numbr has xactly two factors: itslf and 1. A composit numbr has mor than two factors. 1 is a spcial numbr nithr prim

More information

Development of a Maintenance Option Model to Optimize Offshore Wind Farm Sustainment

Development of a Maintenance Option Model to Optimize Offshore Wind Farm Sustainment Dvlopm of Mic Opio Modl o Opimiz Offshor Wid Frm Susim Pr Sdbor, 1 Gilbr Hddd, 2 Amir Kshi-Pour 2 d Xi Li 2 Cr for Advcd Lif Cycl Egirig, Uivrsiy of Mryld, Collg Prk, MD, 20742 This ppr prss mhod h uss

More information

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia Studnt Nots Cost Volum Profit Analysis by John Donald, Lcturr, School of Accounting, Economics and Financ, Dakin Univrsity, Australia As mntiond in th last st of Studnt Nots, th ability to catgoris costs

More information

Pricing Warrants Models: An Empirical Study of the Indonesian Market

Pricing Warrants Models: An Empirical Study of the Indonesian Market Pricig Warras Modls: A Epirical udy of Idosia Mark Zouair BEN HELIFA Waji ABBAI Absrac ai issu durig priods of fiacial crisis is o rsor isor s cofidc ad arac back o fiacial arks. us, warras a b a gra lp

More information

Parallel and Distributed Programming. Performance Metrics

Parallel and Distributed Programming. Performance Metrics Paralll and Distributd Programming Prformanc! wo main goals to b achivd with th dsign of aralll alications ar:! Prformanc: th caacity to rduc th tim to solv th roblm whn th comuting rsourcs incras;! Scalability:

More information

Ref No: Version 5.1 Issued: September, 2013

Ref No: Version 5.1 Issued: September, 2013 Sv Goodridg 21 Casl Sr Edardson SA 5039 obil: 0405 111 646 [email protected] Adlaid SEO ~ Sv Goodridg Sarch Engin Succss R No: Vrsion 5.1 Issud: Spbr, 2013 Sv Goodridg ~ Adlaid SEO SEO-Packs.doc

More information

APPLIED STATISTICS. Economic statistics

APPLIED STATISTICS. Economic statistics APPLIED STATISTICS Ecoomic saisics Reu Kaul ad Sajoy Roy Chowdhury Reader, Deparme of Saisics, Lady Shri Ram College for Wome Lajpa Nagar, New Delhi 0024 04-Ja-2007 (Revised 20-Nov-2007) CONTENTS Time

More information

CARE QUALITY COMMISSION ESSENTIAL STANDARDS OF QUALITY AND SAFETY. Outcome 10 Regulation 11 Safety and Suitability of Premises

CARE QUALITY COMMISSION ESSENTIAL STANDARDS OF QUALITY AND SAFETY. Outcome 10 Regulation 11 Safety and Suitability of Premises CARE QUALITY COMMISSION ESSENTIAL STANDARDS OF QUALITY AND SAFETY Outcom 10 Rgulation 11 Safty and Suitability of Prmiss CQC Rf 10A 10A(1) Lad Dirctor / Lad Officr Rspons Impact Liklihood Lvl of Concrn

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

FACULTY SALARIES FALL 2004. NKU CUPA Data Compared To Published National Data

FACULTY SALARIES FALL 2004. NKU CUPA Data Compared To Published National Data FACULTY SALARIES FALL 2004 NKU CUPA Data Compard To Publishd National Data May 2005 Fall 2004 NKU Faculty Salaris Compard To Fall 2004 Publishd CUPA Data In th fall 2004 Northrn Kntucky Univrsity was among

More information

A Fuzzy Inventory System with Deteriorating Items under Supplier Credits Linked to Ordering Quantity

A Fuzzy Inventory System with Deteriorating Items under Supplier Credits Linked to Ordering Quantity JOURNAL OF INFORMAION SCIENCE AND ENGINEERING 6, 3-53 () A Fuzzy Ivtory Syst with Dtrioratig Its udr Supplir Crdits Likd to Ordrig Quatity LIANG-YUH OUYANG, JINN-SAIR ENG AND MEI-CHUAN CHENG 3 Dpartt of

More information

Ranking of mutually exclusive investment projects how cash flow differences can solve the ranking problem

Ranking of mutually exclusive investment projects how cash flow differences can solve the ranking problem Chrisia Kalhoefer (Egyp) Ivesme Maageme ad Fiacial Iovaios, Volume 7, Issue 2, 2 Rakig of muually exclusive ivesme projecs how cash flow differeces ca solve he rakig problem bsrac The discussio abou he

More information

union scholars program APPLICATION DEADLINE: FEBRUARY 28 YOU CAN CHANGE THE WORLD... AND EARN MONEY FOR COLLEGE AT THE SAME TIME!

union scholars program APPLICATION DEADLINE: FEBRUARY 28 YOU CAN CHANGE THE WORLD... AND EARN MONEY FOR COLLEGE AT THE SAME TIME! union scholars YOU CAN CHANGE THE WORLD... program AND EARN MONEY FOR COLLEGE AT THE SAME TIME! AFSCME Unitd Ngro Collg Fund Harvard Univrsity Labor and Worklif Program APPLICATION DEADLINE: FEBRUARY 28

More information

Introduction to Measurement, Error Analysis, Propagation of Error, and Reporting Experimental Results

Introduction to Measurement, Error Analysis, Propagation of Error, and Reporting Experimental Results Inroducion o Masurmn, Error Analysis, Propagaion of Error, and Rporing Exprimnal Rsuls AJ Pinar, TD Drummr, D Caspary Dparmn of Chmical Enginring Michigan Tchnological Univrsiy Houghon, MI 4993 Spmbr,

More information

Medicaid Eligibility in Michigan: 40 Ways

Medicaid Eligibility in Michigan: 40 Ways C E N T E R F O R H E A LT H C A R E R E S E A R C H & T R A N S F O R M AT I O N Policy Papr July 2012 Mdicaid Eligibility i Michiga: 40 Ways 503 id 1 U Pla F irst! hil d k Wor aivr Childr s W N wb to

More information

1.- L a m e j o r o p c ió n e s c l o na r e l d i s co ( s e e x p li c a r á d es p u é s ).

1.- L a m e j o r o p c ió n e s c l o na r e l d i s co ( s e e x p li c a r á d es p u é s ). PROCEDIMIENTO DE RECUPERACION Y COPIAS DE SEGURIDAD DEL CORTAFUEGOS LINUX P ar a p od e r re c u p e ra r nu e s t r o c o rt a f u e go s an t e un d es a s t r e ( r ot u r a d e l di s c o o d e l a

More information

TACTICAL PLANNING OF THE OIL SUPPLY CHAIN: OPTIMIZATION UNDER UNCERTAINTY

TACTICAL PLANNING OF THE OIL SUPPLY CHAIN: OPTIMIZATION UNDER UNCERTAINTY TACTICAL PLANNING OF THE OIL SUPPLY CHAIN: OPTIMIZATION UNDER UNCERTAINTY Gabriela Ribas Idusrial Egieerig Deparme Poifical Caholic Uiversiy of Rio de Jaeiro PUC-Rio, CP38097, 22453-900 Rio de Jaeiro Brazil

More information