Scalability of a Mobile Cloud Management System
|
|
- Marion McLaughlin
- 8 years ago
- Views:
Transcription
1 Scalablty of a Moble Cloud Management System Roberto Bfulco Unversty of Napol Federco II roberto.bfulco2@unna.t Marcus Brunner NEC Laboratores Europe brunner@neclab.eu Peer Hasselmeyer NEC Laboratores Europe peer.hasselmeyer@neclab.eu Fasal Mr NEC Laboratores Europe fasal.mr@neclab.eu Roberto Canonco Unversty of Napol Federco II roberto.canonco@unna.t ABSTRACT Ubqutous network access allows people to access an ever ncreasng range of servces from a varety of moble termnals, ncludng laptops, tablets and smartphones. A flexble and economcally effcent way of provsonng such servces s through Cloud Computng. Assumng that several cloudenabled datacenters are made avalable at the edges of the Internet, servce provders may take advantage of them by optmally locatng servce nstances as close as possble to ther users. By localzng traffc at the edges of access networks, such an approach may result benefcal for both servce and network provders. In ths paper we present Follow- Me Cloud (FMC), a technology developed at NEC Laboratores Europe that allows transparent mgraton of servces n TCP/IP networks, thanks to the dynamc confguraton of a set of coordnated OpenFlow swtches located at the edge of the network. In partcular, n ths paper we analyze the scalablty propertes of an FMC-based system and propose a role separaton strategy based on dstrbuton of control plane functons whch enables scale-out of the system. By means of smulaton, we prove that the applcaton of the proposed separaton strategy results n less state retaned by ndvdual OpenFlow controllers and n more effectve localzaton of network traffc. Categores and Subject Descrptors C.2.1 [Network Archtecture and Desgn]: Dstrbuted networks Keywords Moble Cloud Computng, Scalablty, Network Management, OpenFlow, Software Defned Networkng Permsson to make dgtal or hard copes of all or part of ths work for personal or classroom use s granted wthout fee provded that copes are not made or dstrbuted for proft or commercal advantage and that copes bear ths notce and the full ctaton on the frst page. To copy otherwse, or republsh, to post on servers or to redstrbute to lsts, requres pror specfc permsson and/or a fee. MCC 12, August 17, 2012, Helsnk, Fnland. Copyrght 2012 ACM /12/08... $ INTRODUCTION Rch meda servces that may be accessed anywhere are expected to play a sgnfcant role n the moble apps envronment n the next few years, due to ther ablty to generate sgnfcant revenues. These applcatons have become techncally feasble thanks to the ubqutous avalablty of multmeda devces and broadband connectvty. Nonetheless, the ablty of provsonng such servces to large numbers of moble users s stll a techncal challenge for servce provders. Servce provsonng, today, fnds n the emergng Cloud Computng paradgm a flexble and economcally effcent soluton, n partcular for small and medum enterprses that do not want to nvest huge captals for creatng and managng ther own IT nfrastructures. The basc tenet of cloud computng s that end users do not need to care about where a servce s actually hosted, whle servce provders may dynamcally acqure the resources they need for servce provsonng n a pay-per-use model. Whle for most of elastc web applcatons the relatve poston of clent and server end-systems does not affect the perceved Qualty of Experence, provded enough bandwdth s avalable n the end-to-end path connectng clents wth servers, rch nteractve applcatons are sensble to other communcaton metrcs, such as delay and jtter. In the absence of explct QoS control mechansms n the network, the only way to mprove Qualty of Experence s to locate servers as close as possble to user termnals. Such an approach, largely exploted by Content Delvery Networks, can be further advanced n the era of Cloud Computng. Assumng that several cloud-enabled datacenters are made avalable at the edges of the Internet, servce provders may take advantage of them for optmally locatng servce nstances as close as possble to ther users. In such a context, moblty of user termnals makes such locaton decsons even more dffcult. In ths paper, we present Follow-Me Cloud (FMC), a technology developed at NEC Laboratores Europe to overcome the current TCP/IP archtecture moblty lmtatons and to support novel Moble Cloud Computng applcatons, by provdng both the ablty to mgrate network end-ponts and to reactvely relocate network servces dependng on users locatons, n order to guarantee adequate performance for the clent-server communcaton and, at the same tme, have a precse control on the use of network resources by localzng network traffc generated by applcatons. The FMC archtecture s based on cooperatng FMC controllers located n the networks of collaboratng operators. FMC controllers modfy packet forwardng n such a way that locaton changes of users and of servces (e.g., through mgraton of Vrtual Machnes) are transparently managed by the network nfrastructure, wthout any need of reconfgurng the end systems. Dependng on the users moblty patterns, 17
2 a) b) Correspondent Swtch (CS) Home Swtch (HS) Mgratng Node (MN) A C Correspondent Node (CN) Foregn Swtch (FS) B Correspondent Controller C CC Home Controller HC Foregn Controller FC Fgure 1: Follow-Me Cloud Use Case FMC control-plane decde f, when and where network servceshavetobemgrated. The coarse flow of actons performed by FMC to manage a mgratng servce s shown n fgure 1. In ths smplfed use case, ntally, a user accesses a dedcated servce, e.g., a remote desktop applcaton, n the home envronment (.e., usually, hs/her offce or home). He/She then goes on a trp and, whle on the move, accesses the servce through an app runnng n a smartphone. Over tme, the smartphone gets connected to the Internet through dfferent moble network operators. After a change of the termnal s network attachment pont, FMC may decde to trgger mgraton of the servce nstance to a dfferent network locaton, e.g. a data center, closer to the new network attachment pont. As shown n step 3, the applcaton mgrated to the new data center, provdng the user wth mproved Qualty of Experence and/or reducng the servce provsonng cost for the network operator. Follow-Me Cloud s mplemented usng OpenFlow (OF) [1]. It uses the packet flterng and rewrtng capabltes of OpenFlow to acheve the seamlessness of mgraton, and confgures network equpment through OpenFlow rules (OFR). OF-enabled networkng equpments (.e., swtches) are therefore needed n the network for FMC to work. Nevertheless, OF equpments are only needed at the edges of the network. In ths paper we present how FMC acheves network end-ponts moblty and our soluton to solve scalablty ssues. Cloud servces reactve relocaton strateges are not dscussed here, and wll be the topc of future work. The rest of ths paper s structured as follows. We dscuss related work n secton 2. FMC moblty management procedures are presented n secton 3, next we dscuss the scalablty ssues of an FMC-based system n secton 4, whle our soluton to support the scale-out of the archtecture s presented n secton 5 and ts evaluaton n secton 6. Fnally, n secton 7 we conclude and present future work. 2. RELATED WORK The dea of explotng the lve mgraton capabltes of modern vrtualzaton technologes for dynamcally changng the poston of a servce nstance on a geographc bass has been alredy proposed n the past (e.g. n [6]). Lve mgraton of Vrtual Machnes s a common practce n vrtualzed data centers, n whch the nternal networkng nfrastructure may be desgned as a large sngle IP subnet. Mgraton of VMs across the boundares of a sngle IP subnet, on the other hand, s not straghtforward, as the TCP/IP protocol stack does not provde the needed flexblty n terms of moblty support for network end-ponts. A technque for the mgraton of network end-ponts n a data-center envronment by means of a coordnated set of agents s presented n [2]. A Fgure 2: a. End-ponts moblty reference scenaro; b. FMC dstrbuted archtecture frst example of the applcaton of OpenFlow to solve network moblty ssues s presented n [3], where OpenFlow s used to mgrate VMs among dfferent IP subnets, usng a network fully composed of OpenFlow swtches. None of these papers present solutons to the control-plane scalablty problems that derve from the applcaton of these technques n large scale networks. Other approaches, lke the Locator/Identfer Separaton Protocol [4] (LISP), are based on the concept of separaton among locator and dentfer addresses. The LISP archtecture uses an alternate topology to dstrbute ID/LOC mappng nformaton among routers n the network. LISP does not provde moblty support natvely, whle t s added n ts moblty extensons that need drect nvolvement of moble devces n the ID/LOC mappng. MobleIP and MobleIPv6 both enable end-pont moblty, but requre drect nvolvement of the movng enttes. On the other end, Proxy MobleIP provdes moblty wthout nvolvng end-ponts, by placng moblty aware proxy devces n the network. In any case, n MobleIP the forwardng of the data packets s usually performed through tunnels and/or trangular routng that are far less effcent n comparson to the FMC soluton. 3. END-POINTS MOBILITY Follow-Me Cloud (FMC) enables moblty of network endponts among dfferent IP subnets n a TCP/IP network, both n closed envronments, such as data-centers, and on a geographc scale, mantanng all the ongong network communcatons of the movng entty actve and requrng no modfcatons to the nvolved end-ponts. FMC s appled to a TCP/IP network n whch access networks are connected to a core network, that provdes connectvty among them, through OpenFlow-enabled swtches (OFS). Current TCP/IP network archtecture uses a sngle address to both dentfy and locate a devce on the network, makng the network unable to support moblty natvely. FMC realzes the splt of dentfer and locator concepts n the edge network, usng the OFSes to enforce the splttng n a transparent manner for network end-ponts. Fgure 2.a shows a typcal applcaton scenaro, wth three access networks, and explans also the names used to dentfy all the network devces nvolved. Names are assgned from the perspectve of a partcular mgratng node (MN). Usng FMC, the MN can mgrate from an access network A, to an access network B, wthout changng t s network confguraton (e.g., IP address, Gateway Address). From a network perspectve, MN s totally unaware that the access network on whch t s resdng s changed. All the ongong communcatons are kept actve, e.g., TCP sessons are not lost. Any correspondent 18
3 node,.e., any node that s on an access network dfferent from A or B and that s communcatng wth MN, s unaware of the MN locaton change as well. To provde ths result, FMC requres that a new IP address, belongng to the B network, s assgned to MN to work as locator. The orgnal IP address of MN s stll used by MN tself and by any node that s communcatng wth MN, snce t works as dentfer. For any mgrated node, the FMC controller (FMC-C) stores the dentfer/locator mappng nformaton, that s used to confgure nvolved OFSes wth proper OpenFlow rules. The outcome of FMC operatons s that each packet destned to a mgrated end-pont, before traversng the core of the network, s processed to substtute the dentfer address wth the locator address. Then, the locator address s substtuted agan wth the dentfer address, before the packet s delvered to MN. A smlar address translaton s performed on the source address of packets sent by MN. Hence, the dentfer address s used to send/receve packets n the edges of the network, whle the locator address s used n the core of the network, to forward packets to the correct locaton. Border devces,.e., OFSes, are n charge of performng the dentfer/locator and locator/dentfer translatons. 4. SCALABILITY FMC uses OpenFlow to provde transparent dentfer/locator (ID/LOC n short) splttng, ntroducng some OFRs to support the redrecton of packets to the new locaton of a mgrated node. Even though the used approach s tryng to be lghtweght, requrng no modfcatons to the tradtonal IP routng, when a mgraton happens, several enttes are nvolved n communcaton at the network control plane. In partcular, FMC controllers need to coordnate ther actvtes, and varous OFSes need updated forwardng rules. In ths secton we are amng at assessng the scalablty of FMC. Our work s manly focused on evaluatng scalablty from the perspectve of the number of managed OFRs. We see two man ssues: () how many rules need to be nstalled on a partcular OFS, and () how many rules must be managed by the FMC controllers. We defne the former as a data-plane scalablty ssue and the latter as a control-plane scalablty ssue. Data-plane scalablty affects the ablty of applyng FMC when an OFS s nvolved n many IP address mgratons,.e., when a large number of rules must be nstalled. An OFS has lmted capacty n the number of rules t s able to support, that means, from FMC perspectve, that there s a lmt on the number of concurrent mgratons that can be provded for the network served by that swtch. Even f ths ssue can be a serous problem, and t s worth to be nvestgated, for the purpose of FMC we assume that t s solvable usng a careful parttonng of the network,.e., reducng the dmenson of the network served by a sngle swtch. Clearly, usng ths scale-out approach, we are addng more network devces, hence, we are potentally ncreasng the work load on the control-plane. Control-plane scalablty s, n fact, related to the number of devces and to the total number of OFRs that must be managed by FMC controllers. The number of devces s strctly dependent on the network dmenson and on the parttonng level we are applyng, e.g., to solve the dataplane scalablty ssue. The total number of rules s nstead drectly dependent on the total number of concurrent IP address mgratons. To evaluate the total number of generated rules we use the smplstc assumpton that there s only one centralzed FMC controller 1. Moreover, we assume that ths controller knows n advance on whch OFSes rule nstallaton s needed. Ths way we are able to evaluate the number of rules needed for the packet forwardng redrecton, wthout takng nto account mplementaton-dependent rules. The number of generated rules for the -th IP address mgraton s: R = r hs + r fs + j r cs j (1) where r hs are the number of rules nstalled at the home swtch (HS) and foregn swtch (FS) for the -th IP and r fs address mgraton, and rj cs s the number of rules nstalled at the j-th correspondent swtch that s exchangng packets wth the -th mgrated IP address. The number of rules for each mgrated IP address s gven by the followng formulas: r hs = α + H (2) r fs = β + F (3) r cs j = γ + C j (4) The varables H, F and C j represent the number of nodes from home, foregn and j-th correspondent networks that are exchangng packets wth the -th mgrated IP address. The constants α, β and γ are the fxed number of rules requred by FMC for packet redrecton per mgraton 2. The total number of OFRs managed by the FMC controller s the sum over of the rules as expressed n (1), plus some rules nstalled once for each HS or FS: R =2N + R (5) where N s the total number of HSes (and snce one FS corresponds to each HS, t s also the total number of FSes) nvolved n IP addresses mgratons. From equatons (1) and (5) t s clear that the number of rules s drectly proportonal to the number of concurrent mgratons, and to the number of nodes on the HN, FN and CNs that are exchangng packets wth mgrated addresses. 5. DISTRIBUTED CONTROLLER Provdng scalablty at the control-plane s a key requrement to make FMC usable n large-scale networks and t s the focus of the work presented n ths secton. Our am s to enable the balancng of the FMC operatons load among a number of FMC controllers, actually buldng a FMC dstrbuted controller. Buldng a dstrbuted controller provdes a twofold outcome: apart from scalablty, t adds also the flexblty and the dstrbuton of responsbltes requred to enable the use of FMC functonaltes across admnstratve boundares. The desgn of the dstrbuted controller follows the prncple of dstrbutng knowledge to where t s actually needed. In our case, the needed nformaton at a partcular controller s the dentfer/locator mappng for a gven network entty, 1 The OpenFlow archtecture actually suggests a centralzed approach to the network control-plane development, through the use of a centralzed OpenFlow controller that s connected to a number of OFSes. 2 In the current mplementaton α =3,β =6andγ =3 19
4 whle the controllers that need to know about ths mappng are the ones that are controllng the HS, the FS and CSes. To manage ths nformaton and to dstrbute t among controllers, we desgned the archtecture depcted n Fgure 2.b. Wth respect to the mgratng node, we dentfy three dfferent roles among FMC controllers: Home Controller (HC) that controls the network to whch the dentfer address belongs to; Foregn Controller (FC) that controls the network to whch the locator address belongs to; Correspondent Controller (CC) that controls one or more CSes. The archtecture s flexble enough to enable a sngle controller to play one, two or all the roles for the same mgratng node, e.g., because the same controller s n charge of managng multple networks. Ths approach also offers the possblty to adapt the number of controllers used n the network, n order to tackle the actual network load: t s possble to use a scale-out approach, ncreasng the number of access networks, and consequently reducng the number of nodes per access network. Then, each controller s assgned a number of access networks to manage (the range s from one to all the access networks), wth the am of sharng the overall load. Snce the MN s dentfer address belongs to a network managed by HC, ths controller s always nvolved n any MN mgraton, makng t a good canddate to be an authortatve repostory for the MN mappng nformaton. HC has therefore been selected to be n charge of managng the mappng nformaton for the MN whle t s away from ts home locaton. When MN mgrates to a foregn network (FN), the HC s notfed about the mgraton and nforms the FC that MN s mgratng to a network that FC tself s managng. Snce FC s n charge of managng the network to whch the locator belongs to, we leave to FC the responsblty to generate the locator address for MN 3. Once the locator s defned, t s sent back to the HC so that both FMC-Cs have the complete nformaton about the ID/LOC mappng to perform the requred confguratons. So far, just HC and FC are nformed and confgured to support the mgraton. Eventually, a CC wll need the nformaton about the ID/LOC mappng, because some endponts connected to CSes are tryng to establsh communcaton wth MN. Whle n the case of HC and FC we know whch are the HS and FS, snce they are source and destnaton of the mgraton, we do not have ths nformaton for the CSes. At any pont n tme, a network entty can be nvolved n a communcaton sesson wth MN, and, dfferently from what we dd n secton 4, we are not assumng to know n advance who s gong to start ths communcaton. To handle ths ssue, our archtecture uses a reactve approach: once a new communcaton wth a CN s establshed, the nvolved CC s updated properly. We have to dstngush two cases: () the correspondent node starts the communcaton, and () the mgratng node starts the communcaton. In the frst case, when the CN sends a packet to MN, t always uses the dentfer address as the packet s destnaton. Snce the CS does not know yet about the updated ID/LOC mappng, t performs no rewrtng on the packet, whch s therefore forwarded along the route to MN s home 3 How the locator address s actually obtaned s out of the scope of ths work, anyway, t s possble to nteract wth a network management system, or wth a DHCP server to easly generate t. HC CC Fgure 3: Overvuew of the eactve update of the dentfer/locator mappng at the CC. packet_n (destnaton IP: dentfer) get CC address from packet source IP Rewrte IP addresses accordng to LOC/ID mappng HC Networks/ Controllers MAP send MN LOC/ID mappng update Add CC to the lst of updated controllers Reroute packet CC Set up OF rules Fgure 4: Reactve update of the dentfer/locator mappng at the CC. network. Once the packet reaches the HS, t s ntercepted and a message to update the ID/LOC mappng at the CC s sent. The packet s then forwarded by substtutng the dentfer wth the locator, usng trangular routng. Fgure 3 shows an overvew of the operatons, whle fgure 4 shows the detals of the nteractons among HC and CC. We pont out here that t s necessary to store the nformaton of whch CC has been updated wth the ID/LOC mappng nformaton, snce subsequent mgratons wll trgger an update for all the stored CCs. Otherwse, packets generated by CNs wll contnue to be drected to the old MN s locaton. In the second case, when MN starts the communcaton wth a CN, we have to take nto account that the FS s already applyng the ID/LOC mappng. Snce, on the other hand, the CS does not know yet about the ID/LOC mappng, the packet would reach the CN usng the locator address as source, then, CN would use the locator address to talk wth the mgrated node. If no more mgratons happen for MN, there are no problems wth ths behavor, but, f a new mgraton happens, then the locator changes, hence, the communcaton wth CN s lost. Because of ths ssue, we should ensure that any entty always uses the dentfer as destnaton address. To provde CS 20
5 Fgure 5: Number of rules managed by centralzed FMC-C and FC, for one mgraton. Fgure 6: Number of long dstance messages sent or receved, for one mgraton. the afore mentoned property, FC has to ntercept any packet that s sent by the mgrated node and s destned to a CN, whose network s FMC controller s stll not updated about the ID/LOC mappng for MN. Ths way, FC s able to send updated ID/LOC nformaton for MN to CC. It s worth to note that the FC does not nform HC about updated CC whle MN s stll located n ts admnstratve doman. Instead, FC mantans a local lst of updated CCs that s sent back to HC when a new MN mgraton happens. When MN mgrates back to ts home network, or to a new network, all the ID/LOC mappng nformaton dstrbuted at dfferent FMC controllers are no longer vald. As for any other MN mgraton, when HC s nformed that MN s mgratng, t updates the old FC about the MN locaton change. Durng ths nteracton, FC sends ts local lst of updated CC to HC. Then, HC updates the ID/LOC mappng nformaton on any prevously updated CC. 6. EVALUATION We tested our prototype mplementaton both on a Mnnet [5] testbed and on a physcal testbed equpped wth NEC OpenFlow swtches. Wth regard to the scalablty of the dstrbuted archtecture, to evaluate the total number of rules we have to modfy the r fs expresson, substtutng the defnton gven n (3) wth the followng formula, to take nto account the reactve update of ID/LOC mappng nformaton: r fs = δ + F + J (6) where J s the number of CNets exchangng packets wth the -th mgrated node, and δ s a fxed number of OFRs. In fgure 5 a comparson of the number of rules managed n the case of a centralzed FMC controller s compared to the number of rules managed by the most loaded FMC controller of the dstrbuted archtecture,.e., the FC. The number of rules s evaluated for one mgraton, wth a lnearly ncreasng number of nodes that are exchangng packets wth MN and that are located at home networks (HNs), foregn networks (FNs), and correspondent networks (CNets). Takng nto account also the OFRs nstallaton tme, we have to consder the ssue that arses when an FMC controller s located far away from the swtch t s controllng, snce the network delay has to be added to the nstallaton tme. Dstrbutng the archtecture enables a better and faster handlng of rules nstallaton: even f FMC-related rule nstallaton stll needs to face some network delays because of the coordnaton among the controllers, the majorty of actons are performed locally at the controller, that s typcally placed close to the network t s controllng. Assume a scenaro n whch managed networks are far apart and further assume that a sngle centralzed controller s placed near the FS whch s the swtch that requres the most rule nstallaton messages. Wth ths deployment, any message exchanged between the controller and HSes/CSes experences hgh delay. In the dstrbuted archtecture, nstead, only nter-fmc controllers messages experence hgh delay. The number of requred long dstance messages s lnearly ncreasng wth the number of nodes n HN, FN and the number of CNets, as shown n fgure 6. The fgure compares the centralzed FMC controller case to the FC of the dstrbuted archtecture, n the worst case (.e., when FC s n charge of updatng CCs). 7. CONCLUSION AND FUTURE WORK In ths paper we ntroduced Follow-Me Cloud, a technology that provdes moblty features n a TCP/IP network for both users and servces, usng OpenFlow-enabled equpment at the edges of the network. We presentedthemplemented moblty technque, the dstrbuted archtecture used to support the operatons and an early scalablty evaluaton of the developed prototype. The current mplementaton and developed test-beds provde a sold base for further research and development. In partcular, the logc for decdng when and where to mgrate servces to needs to be realzed. In addton to the orgnal use case of supportng moble users, t turned out that FMC technology can be used for other scenaros as well, ncludng the general problem of crossoperator servce mgraton and the mgraton of core moble network components. These are just two examples of potental use cases for Follow-Me Cloud technology, hghlghtng ts applcablty n many domans. Acknowledgements Ths research has been partly supported by the PRIN SFINGI project funded by the Italan Mnstry of Unversty and Research. 21
6 8. REFERENCES [1] Openflow - [2] Bfulco, R., Canonco, R., Ventre, G., and Manett, V. Transparent mgraton of vrtual nfrastructures n large datacenters for cloud computng. In Computers and Communcatons (ISCC), 2011 IEEE Symposum on ( july ), pp [3] Erckson, D., Gbb, G., Heller, B., Naous, J., Underhll, D., Appenzeller, G., Parulkar, G., McKeown, N., and Al., E. A demonstraton of vrtual machne moblty n an openflow network. Proceedngs of ACM SIGCOMM Demo (2008), 513. [4] Farnacc, D., Fuller, V., Meyer, D., and Lews, D. Locator/ID separaton protocol (LISP). Internet-Draft draft-etf-lsp-13.txt, IETF Secretarat, June [5] Lantz, B., Heller, B., and McKeown, N. A network n a laptop: rapd prototypng for software-defned networks. In Proceedngs of the Nnth ACM SIGCOMM Workshop on Hot Topcs n Networks (New York, NY, USA, 2010), Hotnets 10, ACM, pp. 19:1 19:6. [6] Manett, V., Canonco, R., Ventre, G., and Stavrakaks, I. System-level vrtualzaton and moble p to support servce moblty. In Proceedngs of the 2009 Internatonal Conference on Parallel Processng Workshops, ICPPW 09 (2009), pp
An Efficient Elastic Distributed SDN Controller for Follow-Me Cloud
An Effcent Elastc Dstrbuted SDN Controller for Follow-Me Cloud Abdelkader Assou PrSM/Unversty of Versalles Versalles, France E-mal: abdelkader.assou@ens.uvsq.fr Adlen Ksentn IRISA/Unversty of Rennes Rennes,
More informationFault tolerance in cloud technologies presented as a service
Internatonal Scentfc Conference Computer Scence 2015 Pavel Dzhunev, PhD student Fault tolerance n cloud technologes presented as a servce INTRODUCTION Improvements n technques for vrtualzaton and performance
More informationA Replication-Based and Fault Tolerant Allocation Algorithm for Cloud Computing
A Replcaton-Based and Fault Tolerant Allocaton Algorthm for Cloud Computng Tork Altameem Dept of Computer Scence, RCC, Kng Saud Unversty, PO Box: 28095 11437 Ryadh-Saud Araba Abstract The very large nfrastructure
More informationM3S MULTIMEDIA MOBILITY MANAGEMENT AND LOAD BALANCING IN WIRELESS BROADCAST NETWORKS
M3S MULTIMEDIA MOBILITY MANAGEMENT AND LOAD BALANCING IN WIRELESS BROADCAST NETWORKS Bogdan Cubotaru, Gabrel-Mro Muntean Performance Engneerng Laboratory, RINCE School of Electronc Engneerng Dubln Cty
More informationQOS DISTRIBUTION MONITORING FOR PERFORMANCE MANAGEMENT IN MULTIMEDIA NETWORKS
QOS DISTRIBUTION MONITORING FOR PERFORMANCE MANAGEMENT IN MULTIMEDIA NETWORKS Yumng Jang, Chen-Khong Tham, Ch-Chung Ko Department Electrcal Engneerng Natonal Unversty Sngapore 119260 Sngapore Emal: {engp7450,
More informationHosted Voice Self Service Installation Guide
Hosted Voce Self Servce Installaton Gude Contact us at 1-877-355-1501 learnmore@elnk.com www.earthlnk.com 2015 EarthLnk. Trademarks are property of ther respectve owners. All rghts reserved. 1071-07629
More informationSurvey on Virtual Machine Placement Techniques in Cloud Computing Environment
Survey on Vrtual Machne Placement Technques n Cloud Computng Envronment Rajeev Kumar Gupta and R. K. Paterya Department of Computer Scence & Engneerng, MANIT, Bhopal, Inda ABSTRACT In tradtonal data center
More informationA Design Method of High-availability and Low-optical-loss Optical Aggregation Network Architecture
A Desgn Method of Hgh-avalablty and Low-optcal-loss Optcal Aggregaton Network Archtecture Takehro Sato, Kuntaka Ashzawa, Kazumasa Tokuhash, Dasuke Ish, Satoru Okamoto and Naoak Yamanaka Dept. of Informaton
More informationHP Mission-Critical Services
HP Msson-Crtcal Servces Delverng busness value to IT Jelena Bratc Zarko Subotc TS Support tm Mart 2012, Podgorca 2010 Hewlett-Packard Development Company, L.P. The nformaton contaned heren s subject to
More informationFair Virtual Bandwidth Allocation Model in Virtual Data Centers
Far Vrtual Bandwdth Allocaton Model n Vrtual Data Centers Yng Yuan, Cu-rong Wang, Cong Wang School of Informaton Scence and Engneerng ortheastern Unversty Shenyang, Chna School of Computer and Communcaton
More informationP2P/ Grid-based Overlay Architecture to Support VoIP Services in Large Scale IP Networks
PP/ Grd-based Overlay Archtecture to Support VoIP Servces n Large Scale IP Networks We Yu *, Srram Chellappan # and Dong Xuan # * Dept. of Computer Scence, Texas A&M Unversty, U.S.A. {weyu}@cs.tamu.edu
More informationHosting Virtual Machines on Distributed Datacenters
Hostng Vrtual Machnes on Dstrbuted Datacenters Chuan Pham Scence and Engneerng, KyungHee Unversty, Korea pchuan@khu.ac.kr Jae Hyeok Son Scence and Engneerng, KyungHee Unversty, Korea sonaehyeok@khu.ac.kr
More informationMulti-Source Video Multicast in Peer-to-Peer Networks
ult-source Vdeo ultcast n Peer-to-Peer Networks Francsco de Asís López-Fuentes*, Eckehard Stenbach Technsche Unverstät ünchen Insttute of Communcaton Networks, eda Technology Group 80333 ünchen, Germany
More informationPAS: A Packet Accounting System to Limit the Effects of DoS & DDoS. Debish Fesehaye & Klara Naherstedt University of Illinois-Urbana Champaign
PAS: A Packet Accountng System to Lmt the Effects of DoS & DDoS Debsh Fesehaye & Klara Naherstedt Unversty of Illnos-Urbana Champagn DoS and DDoS DDoS attacks are ncreasng threats to our dgtal world. Exstng
More informationDBA-VM: Dynamic Bandwidth Allocator for Virtual Machines
DBA-VM: Dynamc Bandwdth Allocator for Vrtual Machnes Ahmed Amamou, Manel Bourguba, Kamel Haddadou and Guy Pujolle LIP6, Perre & Mare Cure Unversty, 4 Place Jusseu 755 Pars, France Gand SAS, 65 Boulevard
More informationScalable and Secure Architecture for Digital Content Distribution
Valer Bocan Scalable and Secure Archtecture for Dgtal Content Dstrbuton Mha Fagadar-Cosma Department of Computer Scence and Engneerng Informaton Technology Department Poltehnca Unversty of Tmsoara Alcatel
More informationNetwork Aware Load-Balancing via Parallel VM Migration for Data Centers
Network Aware Load-Balancng va Parallel VM Mgraton for Data Centers Kun-Tng Chen 2, Chen Chen 12, Po-Hsang Wang 2 1 Informaton Technology Servce Center, 2 Department of Computer Scence Natonal Chao Tung
More informationCooperative Load Balancing in IEEE 802.11 Networks with Cell Breathing
Cooperatve Load Balancng n IEEE 82.11 Networks wth Cell Breathng Eduard Garca Rafael Vdal Josep Paradells Wreless Networks Group - Techncal Unversty of Catalona (UPC) {eduardg, rvdal, teljpa}@entel.upc.edu;
More informationVision Mouse. Saurabh Sarkar a* University of Cincinnati, Cincinnati, USA ABSTRACT 1. INTRODUCTION
Vson Mouse Saurabh Sarkar a* a Unversty of Cncnnat, Cncnnat, USA ABSTRACT The report dscusses a vson based approach towards trackng of eyes and fngers. The report descrbes the process of locatng the possble
More informationThe Development of Web Log Mining Based on Improve-K-Means Clustering Analysis
The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.
More informationA Dynamic Energy-Efficiency Mechanism for Data Center Networks
A Dynamc Energy-Effcency Mechansm for Data Center Networks Sun Lang, Zhang Jnfang, Huang Daochao, Yang Dong, Qn Yajuan A Dynamc Energy-Effcency Mechansm for Data Center Networks 1 Sun Lang, 1 Zhang Jnfang,
More informationA Parallel Architecture for Stateful Intrusion Detection in High Traffic Networks
A Parallel Archtecture for Stateful Intruson Detecton n Hgh Traffc Networks Mchele Colajann Mrco Marchett Dpartmento d Ingegnera dell Informazone Unversty of Modena {colajann, marchett.mrco}@unmore.t Abstract
More informationRecurrence. 1 Definitions and main statements
Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.
More informationMethodology to Determine Relationships between Performance Factors in Hadoop Cloud Computing Applications
Methodology to Determne Relatonshps between Performance Factors n Hadoop Cloud Computng Applcatons Lus Eduardo Bautsta Vllalpando 1,2, Alan Aprl 1 and Alan Abran 1 1 Department of Software Engneerng and
More informationSupporting Recovery, Privacy and Security in RFID Systems Using a Robust Authentication Protocol
Supportng Recovery Prvacy and Securty n RFID Systems Usng a Robust Authentcaton Protocol Md. Endadul Hoque MSCS Dept. Marquette Unversty Mlwaukee Wsconsn USA. mhoque@mscs.mu.edu Farzana Rahman MSCS Dept.
More informationVembu StoreGrid Windows Client Installation Guide
Ser v cepr ov dered t on Cl enti nst al l at ongu de W ndows Vembu StoreGrd Wndows Clent Installaton Gude Download the Wndows nstaller, VembuStoreGrd_4_2_0_SP_Clent_Only.exe To nstall StoreGrd clent on
More informationVRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) 2127472, Fax: (370-5) 276 1380, Email: info@teltonika.
VRT012 User s gude V0.1 Thank you for purchasng our product. We hope ths user-frendly devce wll be helpful n realsng your deas and brngng comfort to your lfe. Please take few mnutes to read ths manual
More informationEVALUATING THE PERCEIVED QUALITY OF INFRASTRUCTURE-LESS VOIP. Kun-chan Lan and Tsung-hsun Wu
EVALUATING THE PERCEIVED QUALITY OF INFRASTRUCTURE-LESS VOIP Kun-chan Lan and Tsung-hsun Wu Natonal Cheng Kung Unversty klan@cse.ncku.edu.tw, ryan@cse.ncku.edu.tw ABSTRACT Voce over IP (VoIP) s one of
More informationFrequency Selective IQ Phase and IQ Amplitude Imbalance Adjustments for OFDM Direct Conversion Transmitters
Frequency Selectve IQ Phase and IQ Ampltude Imbalance Adjustments for OFDM Drect Converson ransmtters Edmund Coersmeer, Ernst Zelnsk Noka, Meesmannstrasse 103, 44807 Bochum, Germany edmund.coersmeer@noka.com,
More informationCloud Auto-Scaling with Deadline and Budget Constraints
Prelmnary verson. Fnal verson appears In Proceedngs of 11th ACM/IEEE Internatonal Conference on Grd Computng (Grd 21). Oct 25-28, 21. Brussels, Belgum. Cloud Auto-Scalng wth Deadlne and Budget Constrants
More informationA Novel Problem-solving Metric for Future Internet Routing Based on Virtualization and Cloud-computing
www.ijcsi.org 159 A Novel Problem-solvng Metrc for Future Internet Routng Based on Vrtualzaton and Cloud-computng Rujuan Zheng, Mngchuan Zhang, Qngtao Wu, Wangyang We and Haxa Zhao Electronc & Informaton
More informationHollinger Canadian Publishing Holdings Co. ( HCPH ) proceeding under the Companies Creditors Arrangement Act ( CCAA )
February 17, 2011 Andrew J. Hatnay ahatnay@kmlaw.ca Dear Sr/Madam: Re: Re: Hollnger Canadan Publshng Holdngs Co. ( HCPH ) proceedng under the Companes Credtors Arrangement Act ( CCAA ) Update on CCAA Proceedngs
More informationMultiple-Period Attribution: Residuals and Compounding
Multple-Perod Attrbuton: Resduals and Compoundng Our revewer gave these authors full marks for dealng wth an ssue that performance measurers and vendors often regard as propretary nformaton. In 1994, Dens
More informationA Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression
Novel Methodology of Workng Captal Management for Large Publc Constructons by Usng Fuzzy S-curve Regresson Cheng-Wu Chen, Morrs H. L. Wang and Tng-Ya Hseh Department of Cvl Engneerng, Natonal Central Unversty,
More informationAn agent architecture for network support of distributed simulation systems
An agent archtecture for network support of dstrbuted smulaton systems Robert Smon, Mark Pullen and Woan Sun Chang Department of Computer Scence George Mason Unversty Farfax, VA, 22032 U.S.A. smon, mpullen,
More informationMETHODOLOGY TO DETERMINE RELATIONSHIPS BETWEEN PERFORMANCE FACTORS IN HADOOP CLOUD COMPUTING APPLICATIONS
METHODOLOGY TO DETERMINE RELATIONSHIPS BETWEEN PERFORMANCE FACTORS IN HADOOP CLOUD COMPUTING APPLICATIONS Lus Eduardo Bautsta Vllalpando 1,2, Alan Aprl 1 and Alan Abran 1 1 Department of Software Engneerng
More information= (2) T a,2 a,2. T a,3 a,3. T a,1 a,1
A set of tools for buldng PostgreSQL dstrbuted databases n bomedcal envronment. M. Cavaller, R. Prudentno, U. Pozzol, G. Ren IRCCS E. Medea, Bosso Parn (LC), Italy. E-mal: gren@bp.lnf.t Abstract PostgreSQL
More informationNetwork Services Definition and Deployment in a Differentiated Services Architecture
etwork Servces Defnton and Deployment n a Dfferentated Servces Archtecture E. kolouzou, S. Manats, P. Sampatakos,. Tsetsekas, I. S. Veners atonal Techncal Unversty of Athens, Department of Electrcal and
More informationA Dynamic Load Balancing for Massive Multiplayer Online Game Server
A Dynamc Load Balancng for Massve Multplayer Onlne Game Server Jungyoul Lm, Jaeyong Chung, Jnryong Km and Kwanghyun Shm Dgtal Content Research Dvson Electroncs and Telecommuncatons Research Insttute Daejeon,
More informationManaging Resource and Servent Reputation in P2P Networks
Managng Resource and Servent Reputaton n P2P Networks Makoto Iguch NTT Informaton Sharng Platform Laboratores guch@sl.ntt.co.jp Masayuk Terada NTT DoCoMo Multmeda Laboratores te@mml.yrp.nttdocomo.co.jp
More informationEfficient Bandwidth Management in Broadband Wireless Access Systems Using CAC-based Dynamic Pricing
Effcent Bandwdth Management n Broadband Wreless Access Systems Usng CAC-based Dynamc Prcng Bader Al-Manthar, Ndal Nasser 2, Najah Abu Al 3, Hossam Hassanen Telecommuncatons Research Laboratory School of
More informationJ. Parallel Distrib. Comput.
J. Parallel Dstrb. Comput. 71 (2011) 62 76 Contents lsts avalable at ScenceDrect J. Parallel Dstrb. Comput. journal homepage: www.elsever.com/locate/jpdc Optmzng server placement n dstrbuted systems n
More informationAn Interest-Oriented Network Evolution Mechanism for Online Communities
An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne
More informationRequIn, a tool for fast web traffic inference
RequIn, a tool for fast web traffc nference Olver aul, Jean Etenne Kba GET/INT, LOR Department 9 rue Charles Fourer 90 Evry, France Olver.aul@nt-evry.fr, Jean-Etenne.Kba@nt-evry.fr Abstract As networked
More informationA Performance Analysis of View Maintenance Techniques for Data Warehouses
A Performance Analyss of Vew Mantenance Technques for Data Warehouses Xng Wang Dell Computer Corporaton Round Roc, Texas Le Gruenwald The nversty of Olahoma School of Computer Scence orman, OK 739 Guangtao
More informationA Self-Organized, Fault-Tolerant and Scalable Replication Scheme for Cloud Storage
A Self-Organzed, Fault-Tolerant and Scalable Replcaton Scheme for Cloud Storage Ncolas Bonvn, Thanass G. Papaoannou and Karl Aberer School of Computer and Communcaton Scences École Polytechnque Fédérale
More informationInstitute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic
Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange
More informationAn Optimal Model for Priority based Service Scheduling Policy for Cloud Computing Environment
An Optmal Model for Prorty based Servce Schedulng Polcy for Cloud Computng Envronment Dr. M. Dakshayn Dept. of ISE, BMS College of Engneerng, Bangalore, Inda. Dr. H. S. Guruprasad Dept. of ISE, BMS College
More informationWhat is Candidate Sampling
What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble
More informationGenetic Algorithm Based Optimization Model for Reliable Data Storage in Cloud Environment
Advanced Scence and Technology Letters, pp.74-79 http://dx.do.org/10.14257/astl.2014.50.12 Genetc Algorthm Based Optmzaton Model for Relable Data Storage n Cloud Envronment Feng Lu 1,2,3, Hatao Wu 1,3,
More informationData Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network *
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 24, 819-840 (2008) Data Broadcast on a Mult-System Heterogeneous Overlayed Wreless Network * Department of Computer Scence Natonal Chao Tung Unversty Hsnchu,
More informationOn Multi-controller Placement Optimization in Software Defined Networking - based WANs
On Mult-controller Placement Optmzaton n Software Defned Networkng - based WANs Eugen Borcoc, Radu Badea, Serban Georgca Obreja, Marus Vochn Unversty POLITEHNICA of Bucharest - UPB Bucharest, Romana eugen.borcoc@elcom.pub.ro,
More informationA role based access in a hierarchical sensor network architecture to provide multilevel security
1 A role based access n a herarchcal sensor network archtecture to provde multlevel securty Bswajt Panja a Sanjay Kumar Madra b and Bharat Bhargava c a Department of Computer Scenc Morehead State Unversty
More informationPolitecnico di Torino. Porto Institutional Repository
Poltecnco d Torno Porto Insttutonal Repostory [Artcle] A cost-effectve cloud computng framework for acceleratng multmeda communcaton smulatons Orgnal Ctaton: D. Angel, E. Masala (2012). A cost-effectve
More informationPerformance Analysis of Energy Consumption of Smartphone Running Mobile Hotspot Application
Internatonal Journal of mart Grd and lean Energy Performance Analyss of Energy onsumpton of martphone Runnng Moble Hotspot Applcaton Yun on hung a chool of Electronc Engneerng, oongsl Unversty, 511 angdo-dong,
More informationA Secure Password-Authenticated Key Agreement Using Smart Cards
A Secure Password-Authentcated Key Agreement Usng Smart Cards Ka Chan 1, Wen-Chung Kuo 2 and Jn-Chou Cheng 3 1 Department of Computer and Informaton Scence, R.O.C. Mltary Academy, Kaohsung 83059, Tawan,
More informationApplication of Multi-Agents for Fault Detection and Reconfiguration of Power Distribution Systems
1 Applcaton of Mult-Agents for Fault Detecton and Reconfguraton of Power Dstrbuton Systems K. Nareshkumar, Member, IEEE, M. A. Choudhry, Senor Member, IEEE, J. La, A. Felach, Senor Member, IEEE Abstract--The
More informationEnterprise Master Patient Index
Enterprse Master Patent Index Healthcare data are captured n many dfferent settngs such as hosptals, clncs, labs, and physcan offces. Accordng to a report by the CDC, patents n the Unted States made an
More informationCanon NTSC Help Desk Documentation
Canon NTSC Help Desk Documentaton READ THIS BEFORE PROCEEDING Before revewng ths documentaton, Canon Busness Solutons, Inc. ( CBS ) hereby refers you, the customer or customer s representatve or agent
More informationHow To Understand The Results Of The German Meris Cloud And Water Vapour Product
Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPP-ATBD-ClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller
More informationCloud-based Social Application Deployment using Local Processing and Global Distribution
Cloud-based Socal Applcaton Deployment usng Local Processng and Global Dstrbuton Zh Wang *, Baochun L, Lfeng Sun *, and Shqang Yang * * Bejng Key Laboratory of Networked Multmeda Department of Computer
More informationAn Alternative Way to Measure Private Equity Performance
An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate
More informationIntroduction CONTENT. - Whitepaper -
OneCl oud ForAl l YourCr t c al Bus nes sappl c at ons Bl uew r esol ut ons www. bl uew r e. c o. uk Introducton Bluewre Cloud s a fully customsable IaaS cloud platform desgned for organsatons who want
More informationCalculating the high frequency transmission line parameters of power cables
< ' Calculatng the hgh frequency transmsson lne parameters of power cables Authors: Dr. John Dcknson, Laboratory Servces Manager, N 0 RW E B Communcatons Mr. Peter J. Ncholson, Project Assgnment Manager,
More informationtaposh_kuet20@yahoo.comcsedchan@cityu.edu.hk rajib_csedept@yahoo.co.uk, alam_shihabul@yahoo.com
G. G. Md. Nawaz Al 1,2, Rajb Chakraborty 2, Md. Shhabul Alam 2 and Edward Chan 1 1 Cty Unversty of Hong Kong, Hong Kong, Chna taposh_kuet20@yahoo.comcsedchan@ctyu.edu.hk 2 Khulna Unversty of Engneerng
More informationComplex Service Provisioning in Collaborative Cloud Markets
Melane Sebenhaar, Ulrch Lampe, Tm Lehrg, Sebastan Zöller, Stefan Schulte, Ralf Stenmetz: Complex Servce Provsonng n Collaboratve Cloud Markets. In: W. Abramowcz et al. (Eds.): Proceedngs of the 4th European
More informationAPPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT
APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT Toshhko Oda (1), Kochro Iwaoka (2) (1), (2) Infrastructure Systems Busness Unt, Panasonc System Networks Co., Ltd. Saedo-cho
More informationData Mining from the Information Systems: Performance Indicators at Masaryk University in Brno
Data Mnng from the Informaton Systems: Performance Indcators at Masaryk Unversty n Brno Mkuláš Bek EUA Workshop Strasbourg, 1-2 December 2006 1 Locaton of Brno Brno EUA Workshop Strasbourg, 1-2 December
More informationOptimization Model of Reliable Data Storage in Cloud Environment Using Genetic Algorithm
Internatonal Journal of Grd Dstrbuton Computng, pp.175-190 http://dx.do.org/10.14257/gdc.2014.7.6.14 Optmzaton odel of Relable Data Storage n Cloud Envronment Usng Genetc Algorthm Feng Lu 1,2,3, Hatao
More informationSome literature also use the term Process Control
A Formal Approach for Internal Controls Complance n Busness Processes Koumars Namr 1, Nenad Stojanovc 2 1 SAP Research Center CEC Karlsruhe, SAP AG, Vncenz-Preßntz-Str.1 76131 Karlsruhe, Germany Koumars.Namr@sap.com
More informationModule 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..
More informationOpen Access A Load Balancing Strategy with Bandwidth Constraint in Cloud Computing. Jing Deng 1,*, Ping Guo 2, Qi Li 3, Haizhu Chen 1
Send Orders for Reprnts to reprnts@benthamscence.ae The Open Cybernetcs & Systemcs Journal, 2014, 8, 115-121 115 Open Access A Load Balancng Strategy wth Bandwdth Constrant n Cloud Computng Jng Deng 1,*,
More informationHow To Solve A Problem In A Powerline (Powerline) With A Powerbook (Powerbook)
MIT 8.996: Topc n TCS: Internet Research Problems Sprng 2002 Lecture 7 March 20, 2002 Lecturer: Bran Dean Global Load Balancng Scrbe: John Kogel, Ben Leong In today s lecture, we dscuss global load balancng
More informationMinimal Coding Network With Combinatorial Structure For Instantaneous Recovery From Edge Failures
Mnmal Codng Network Wth Combnatoral Structure For Instantaneous Recovery From Edge Falures Ashly Joseph 1, Mr.M.Sadsh Sendl 2, Dr.S.Karthk 3 1 Fnal Year ME CSE Student Department of Computer Scence Engneerng
More informationEvaluation of Coordination Strategies for Heterogeneous Sensor Networks Aiming at Surveillance Applications
Evaluaton of Coordnaton Strateges for Heterogeneous Sensor Networs Amng at Survellance Applcatons Edson Pgnaton de Fretas, *, Tales Hemfarth*, Carlos Eduardo Perera*, Armando Morado Ferrera, Flávo Rech
More informationA Cluster Based Replication Architecture for Load Balancing in Peer-to-Peer Content Distribution
A Cluster Based Replcaton Archtecture for Load Balancng n Peer-to-Peer Content Dstrbuton S.Ayyasamy 1 and S.N. Svanandam 2 1 Asst. Professor, Department of Informaton Technology, Tamlnadu College of Engneerng
More informationIWFMS: An Internal Workflow Management System/Optimizer for Hadoop
IWFMS: An Internal Workflow Management System/Optmzer for Hadoop Lan Lu, Yao Shen Department of Computer Scence and Engneerng Shangha JaoTong Unversty Shangha, Chna lustrve@gmal.com, yshen@cs.sjtu.edu.cn
More informationSimple Interest Loans (Section 5.1) :
Chapter 5 Fnance The frst part of ths revew wll explan the dfferent nterest and nvestment equatons you learned n secton 5.1 through 5.4 of your textbook and go through several examples. The second part
More informationA MODEL-BASED REPOSITORY FOR OPEN SOURCE SERVICE AND COMPONENT INTEGRATION
A MODEL-BASED REPOSITORY FOR OPEN SOURCE SERVICE AND COMPONENT INTEGRATION Rodrgo García-Carmona, Félx Cuadrado, Juan C. Dueñas Departamento de Ingenería de Sstemas Telemátcos, ETSI Telecomuncacón, Unversdad
More informationIP Telefoni. DHCP Options VLANs
IP Telefon DHCP Optons VLANs The Csco IP Phone attempts to contact the frst call processng server (the prmary server) lsted n ts confguraton fle to regster. If ths fals, the IP phone moves to the next
More informationA GENERIC HANDOVER DECISION MANAGEMENT FRAMEWORK FOR NEXT GENERATION NETWORKS
A GENERIC HANDOVER DECISION MANAGEMENT FRAMEWORK FOR NEXT GENERATION NETWORKS Shanthy Menezes 1 and S. Venkatesan 2 1 Department of Computer Scence, Unversty of Texas at Dallas, Rchardson, TX, USA 1 shanthy.menezes@student.utdallas.edu
More informationSangam - Efficient Cellular-WiFi CDN-P2P Group Framework for File Sharing Service
Sangam - Effcent Cellular-WF CDN-P2P Group Framework for Fle Sharng Servce Anjal Srdhar Unversty of Illnos, Urbana-Champagn Urbana, USA srdhar3@llnos.edu Klara Nahrstedt Unversty of Illnos, Urbana-Champagn
More informationJoint Scheduling of Processing and Shuffle Phases in MapReduce Systems
Jont Schedulng of Processng and Shuffle Phases n MapReduce Systems Fangfe Chen, Mural Kodalam, T. V. Lakshman Department of Computer Scence and Engneerng, The Penn State Unversty Bell Laboratores, Alcatel-Lucent
More informationAn ILP Formulation for Task Mapping and Scheduling on Multi-core Architectures
An ILP Formulaton for Task Mappng and Schedulng on Mult-core Archtectures Yng Y, We Han, Xn Zhao, Ahmet T. Erdogan and Tughrul Arslan Unversty of Ednburgh, The Kng's Buldngs, Mayfeld Road, Ednburgh, EH9
More informationReinforcement Learning for Quality of Service in Mobile Ad Hoc Network (MANET)
Renforcement Learnng for Qualty of Servce n Moble Ad Hoc Network (MANET) *T.KUMANAN AND **K.DURAISWAMY *Meenaksh College of Engneerng West K.K Nagar, Cheena-78 **Dean/academc,K.S.R College of Technology,Truchengode
More informationTowards a Global Online Reputation
Hu L Unversty of Ottawa 55 Laurer Ave E Ottawa, ON KN 6N5 Canada + (63) 562 5800, 8834 Hl03@uottawa.ca Towards a Global Onlne Reputaton Morad Benyoucef Unversty of Ottawa 55 Laurer Ave E Ottawa, ON KN
More informationCloudMedia: When Cloud on Demand Meets Video on Demand
CloudMeda: When Cloud on Demand Meets Vdeo on Demand Yu Wu, Chuan Wu, Bo L, Xuanja Qu, Francs C.M. Lau Department of Computer Scence, The Unversty of Hong Kong, Emal: {ywu,cwu,xjqu,fcmlau}@cs.hku.hk Department
More informationGR-303 Solution For Access Gateways
GR-303 Soluton for Access Gateways GR-303 Soluton For Access Gateways Verson 1.0 October 2003 Page 1 of 18 GR-303 Soluton for Access Gateways COPYRIGHT Ths materal s the propretary property of and confdental
More informationEnabling P2P One-view Multi-party Video Conferencing
Enablng P2P One-vew Mult-party Vdeo Conferencng Yongxang Zhao, Yong Lu, Changja Chen, and JanYn Zhang Abstract Mult-Party Vdeo Conferencng (MPVC) facltates realtme group nteracton between users. Whle P2P
More informationANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING
ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING Matthew J. Lberatore, Department of Management and Operatons, Vllanova Unversty, Vllanova, PA 19085, 610-519-4390,
More informationA Passive Network Measurement-based Traffic Control Algorithm in Gateway of. P2P Systems
roceedngs of the 7th World Congress The Internatonal Federaton of Automatc Control A assve Network Measurement-based Traffc Control Algorthm n Gateway of 2 Systems Ybo Jang, Weje Chen, Janwe Zheng, Wanlang
More informationSupport Vector Machines
Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.
More informationWhen Network Effect Meets Congestion Effect: Leveraging Social Services for Wireless Services
When Network Effect Meets Congeston Effect: Leveragng Socal Servces for Wreless Servces aowen Gong School of Electrcal, Computer and Energy Engeerng Arzona State Unversty Tempe, AZ 8587, USA xgong9@asuedu
More informationOn the Complexity of Always Best Connected in 4G Mobile Networks
On the Complexty of Always Best Connected n 4G Moble etworks Vangels Gazs, kos Houssos, ancy Alonstot, Lazaros Merakos Communcaton etworks Laboratory, Department of Informatcs & Telecommuncatons, Unversty
More information2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media,
1 2011 IEEE. Personal use of ths materal s permtted. Permsson from IEEE must be obtaned for all other uses, n any current or future meda, ncludng reprntng/republshng ths materal for advertsng or promotonal
More informationQoS in the Linux Operating System. Technical Report
Unverstät Karlsruhe (H) Insttut für elematk QoS n the Lnux Operatng System echncal Report Marc Bechler and Hartmut Rtter Insttut für elematk Fakultät für Informatk Unverstät Karlsruhe (H) E-Mal: [mbechler
More informationJ. Parallel Distrib. Comput. Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers
J. Parallel Dstrb. Comput. 71 (2011) 732 749 Contents lsts avalable at ScenceDrect J. Parallel Dstrb. Comput. ournal homepage: www.elsever.com/locate/pdc Envronment-conscous schedulng of HPC applcatons
More informationM-applications Development using High Performance Project Management Techniques
M-applcatons Development usng Hgh Performance Project Management Technques PAUL POCATILU, MARIUS VETRICI Economc Informatcs Department Academy of Economc Studes 6 Pata Romana, Sector, Bucharest ROMANIA
More informationA Programming Model for the Cloud Platform
Internatonal Journal of Advanced Scence and Technology A Programmng Model for the Cloud Platform Xaodong Lu School of Computer Engneerng and Scence Shangha Unversty, Shangha 200072, Chna luxaodongxht@qq.com
More informationEffective Network Defense Strategies against Malicious Attacks with Various Defense Mechanisms under Quality of Service Constraints
Effectve Network Defense Strateges aganst Malcous Attacks wth Varous Defense Mechansms under Qualty of Servce Constrants Frank Yeong-Sung Ln Department of Informaton Natonal Tawan Unversty Tape, Tawan,
More information