An Analytical Tool to Assess Readiness of Existing Networks for Deploying IP Telephony

Size: px
Start display at page:

Download "An Analytical Tool to Assess Readiness of Existing Networks for Deploying IP Telephony"

Transcription

1 An Analytcal Tool to Assess Readness of Exstng Networks for Deployng IP Telepony K. Sala M. Almasar Department of Informaton and Computer Scence Kng Fad Unversty of Petroleum and Mnerals Daran 31261, Saud Araba Emal: {sala, Abstract Deployng IP telepony or voce over IP (VoIP) s a major and callengng task. Ts paper descrbes an analytcal approac and tool to assess te readness of exstng IP networks for te deployment of VoIP. Te analytcal approac utlzes queueng network analyss and nvestgates two key performance bounds for VoIP: delay and bandwdt. Te analytcal tool s GUI-based and as an engne tat automates te analytcal approac. Te engne determnes te number of VoIP calls tat can be sustaned by a gven generc network wle satsfyng VoIP QoS requrements and leavng adequate capacty for future growt. As a case study, te paper llustrates ow te analytcal tool can assess te readness to deploy VoIP for a typcal network of a small enterprse. 1 Introducton Wen deployng a new network servce suc as VoIP over exstng network, many network arctects, managers, planners, desgners, and engneers are faced wt common strategc, and sometmes callengng, questons. Wat are te QoS requrements for VoIP? Wll my exstng network support VoIP and satsfy te standardzed QoS requrements? If so, ow many VoIP calls can te network support before upgradng prematurely any part of te exstng network ardware? Tese callengng questons ave led to te development of some commercal tools for testng te performance of multmeda applcatons n data networks. A lst of te avalable commercal tools tat support VoIP s lsted n [1,2]. For te most part, tese tools use two common approaces n assessng te deployment of VoIP nto te exstng network. One approac s based on frst performng network measurements and ten predctng te network readness for supportng VoIP. Te predcton of te network readness s based on assessng te ealt of network elements. Te second approac s based on njectng real VoIP traffc nto exstng network and measurng te resultng delay, jtter, and loss. Oter tan te cost assocated wt te commercal tools, none of te commercal tools gves any predcton for te total number of calls tat can be supported by an exstng network wen consderng mportant desgn and engneerng factors. Tese factors nclude VoIP flow and call dstrbuton, future growt capacty, performance tresolds, and mpact background traffc on VoIP. Ts paper attempts to address tose mportant factors utlzng an analytcal approac based on queueng networks. Te approac utlzes queueng network analyss and nvestgates two key performance bounds for VoIP: delay and bandwdt. Te paper also descrbes a GUI-based analytcal tool tat mplements te analytcal approac to compute te maxmum number of VoIP calls tat can be sustaned by a gven generc network wle satsfyng VoIP QoS requrements and leavng adequate capacty for future growt. As a case study, te paper llustrates ow te presented analytcal tool can assess te readness to deploy VoIP for a typcal network of a small enterprse. Te rest of te paper s organzed as follows. Secton 2 presents an analytcal approac to assess te readness of IP telepony. Secton 3 descrbes a GUI-based analytcal tool tat as an engne tat mplements our proposed analytcal approac. Secton 3 also gves an example of a typcal network topology of a small enterprse to be used as a case study for deployng VoIP. Fnally, Secton 4 concludes te study and dentfes future work. 2 Analytcal Approac VoIP s bounded by two mportant metrcs. Frst s te avalable bandwdt. Second s te end-to-end delay. Te actual number of VoIP calls tat te network can sustan and support s bounded by tose two metrcs. Dependng on te network under study, eter te avalable bandwdt or delay can be te key domnant factor n determnng te number of calls tat can be supported.

2 Our analytcal approac consders mportant factors as background traffc, traffc flow, call dstrbuton and growt factor. For background traffc, network measurements must be performed to determne te traffc rates n bps (bts per second) and pps (packets per second) for lnks drectly connected to te router and swtces. Traffc flow as to do wt te pat tat a sesson travels troug. Sesson dstrbuton as to do wt te percentage of sessons to be establsed wtn and outsde of a floor, buldng, or department. In order to allow for future growt, we wll consder a 25% growt factor for all network elements ncludng router, swtces, and lnks. 2.1 Bandwdt Bottleneck Analyss Te requred bandwdt for a voce call, one drecton, s 50 pps or 90.4 kbps. G.711 codec samples 20ms of voce per packet. Terefore, 50 suc packets need to be transmtted per second. Eac packet contans 160 voce samples n order to gve 8000 samples per second. Eac packet s sent n one Eternet frame. Wt every packet of sze 160 bytes, eaders of addtonal protocol layers are added. Tese eaders nclude RTP + UDP + IP + Eternet wt preamble of szes , respectvely. Terefore, a total of 226 bytes, or 1808 bts, needs to be transmtted 50 tmes per second, or 90.4 kbps, n one drecton. For bot drectons, te requred bandwdt for a sngle call s 100 pps or kbps assumng a symmetrc flow. Bandwdt bottleneck analyss s an mportant step to dentfy te network element, weter t s a node or a lnk, tat puts a lmt on ow many VoIP calls can be supported by te exstng network. For any pat tat as N network nodes and lnks, te bottleneck network element s te node or lnk tat as te mnmum avalable bandwdt. Ts mnmum avalable bandwdt can be defned as follows A = mn A, = 1,..., N and A = ( 1 u ) C, were C s te capacty of network element and u s ts current utlzaton. Te capacty C s te maxmum possble transfer or processng rate. Terefore te teoretcal maxmum number of calls tat can be supported by a network element E can be expressed n terms of A as A ( 1 growt ) MaxCalls =, (1) CallBW were growt s te growt factor of network element E, and takes a value from 0 to 1. CallBW s te VoIP bandwdt for a sngle call mposed on E. In order to fnd te bottleneck network element tat lmts te total number of VoIP calls, one as to compute te maxmum number of calls tat can be supported by eac network element, as n equaton (1), and te percentage of VoIP traffc flow passng by ts element. Te percentage of VoIP traffc flow for E, denoted as flow, can be found by examnng te dstrbuton of te calls. Te total number of VoIP calls tat can be supported by a network can be expressed as MaxCalls mn. 1,..., TotalCalls Supported = = N (2) flow 2.2 Delay Analyss In order to aceve a natural voce conversaton, te endto-end upper bound delay (sometmes termed latency) for a voce packet sould be kept to mnmal. Essentally, suc a delay can broken nto at least tree contrbutng components, wc are as follows () voce samplng or frame grabbng, encodng, compresson, and packetzaton delay at te sender () propagaton, transmsson and queung delay n te network and () bufferng, decompresson, depacketzaton, decodng, and playback delay at te recever. Accordng to recommendatons by ITU [3], wen delays are less tan 150 ms, most nteractve applcatons, bot speec and non-speec, wll experence essentally transparent nteractvty. For voce, te end-toend delay s sometmes referred to by M2E or Mout-to-Ear delay. Terefore, We must always ascertan tat te worst-case end-to-end delay for all te calls must be less tan 150 ms. It sould be kept n mnd tat our goal s to determne te network capacty for VoIP,.e. te maxmum number of calls tat exstng network can support wle mantanng VoIP QoS. Ts can be done by addng calls ncrementally to te network wle montorng te tresold or bound for VoIP delay. Wen te end-to-end delay, ncludng network delay, becomes larger tan 150 ms, te maxmum number of calls can ten be known. Tere are tree sources of delay for a VoIP stream: sender, network, and recever. An expresson s gven n [4] to compute te end-to-end delay D for a VoIP flow n one drecton from sender to recever. D = D + ( T + Q + P ) + D, pack Pat were D pack s te delay due to packetzaton at te source. At te source, tere s also Denc and D process. Denc s te encoder delay of convertng A/D sgnal nto samples. D process s te PC of IP pone processng tat ncludes encapsulaton. In G.711, D pack and D enc, are 20 ms and 1ms, respectvely. Hence, t s approprate for our analyss to ave a fxed delay of 25 ms beng ntroduced at te play

3 Dplay source, assumng worst case stuaton. s te playback delay at te recever, ncludng jtter buffer delay. Te jtter delay s at most 2 packets,.e. 40ms. If te recever s delay of D process s added, we obtan a total fxed delay of 45 ms at te recever. T + Q + P s te sum of delays ncurred n te packet network due to transmsson, queung, and propagaton gong troug eac op n te pat from te sender to te recever. Te propagaton delay P s typcally gnored for traffc wtn a LAN, but not for a WAN. For transmsson delay T and queueng delay Q we apply queueng teory. Hence te delay to be ntroduced by te network, expressed as ( T + ), sould not exceed ( ) or 80 ms. Q Pat We utlze queueng analyss to approxmate and determne te maxmum number of calls tat te exstng network can support wle mantanng a delay of less tan 80ms. In order to fnd te network delay, we utlze te prncples of Jackson teorem for analyzng queueng networks. In partcular, we use te approxmaton metod of analyzng queueng networks by decomposton dscussed n [5]. In ts metod, te arrval rate s assumed to be Posson and te servce tmes of network elements are exponentally dstrbuted. Analyss by decomposton s summarzed n frst solatng te queueng network nto subsystems, e.g., sngle queueng node. Next, analyzng eac subsystem separately, consderng ts own network surroundngs of arrvals and departures. Ten, fndng te average delay for eac ndvdual queueng subsystem. And fnally, aggregatng all te delays of queueng subsystems to fnd te average total end-to-end network delay. Te queueng models of network elements for lnk, swtc, and router are presented n [6]. In order to determne te maxmum number of calls tat can be supported by an exstng network wle mantanng VoIP delay constrant, we developed te followng algortm tat bascally determnes network capacty n terms of VoIP calls. Ts algortm s essentally part of te analytcal tool engne for calculatng number of calls based on delay bound. Calls are added teratvely untl te worst-case network delay of 80 ms as reaced. Te algortm can be descrbed n te followng steps: () Intally, no calls are ntroduced and te only traffc n te network s te background traffc. () A new call s added, accordng to te call dstrbuton. () For eac network element, λ = λ VoIP + λbg s computed. ( λ VoIP s te total added new traffc from a sngle VoIP n pps, and λ bg s te background traffc n pps). λ bg s known for eac element; owever, λ VoIP can get affected by (v) (v) (v) (v) ntroducng a new call dependng on te call traffc flow,.e. weter or not te new call flow passes troug te network element. For eac network element, te average delay of a VoIP packet s computed. Te end-to-end delay s computed by summng up all te delays of step (v) encountered for eac possble VoIP flow. Ts ncludes all external and nternal flows, wt nternal flows consstng of ntra-floor and nterfloor. Te maxmum network delay of all possble flows s determned. If te maxmum network delay s less tan 80 ms, ten te maxmum number of calls as not been reaced. Terefore a new call can be added, and ence go to step (). If not, te maxmum delay as been reaced. Terefore te number of VoIP calls bounded by te delay s one less tan te last call addton. 3 Analytcal Tool In order to make use of te analytcal approac presented n Secton 2 and to ease te mplementaton of te algortms of trougput and delay analyss for a gven generc network of nterest, an analytcal tool 1 as been developed n C#. Te tool s GUI-based and ts engne mplements te analytcal approac. Te tool takes as an nput several parameters and confguratons. As sown n Fgure 1, several tab optons are avalable. Te tab of Nodes & Floors allows te confguraton of nodes (swtces, routers, or servers) and ter respectve capacty and locaton. Lnks allows for nterconnectng network nodes to form te network topology. Eac lnk capacty and background traffc can be confgured. Call Dstrbuton allows confguraton of call dstrbuton per flow n percentage. Te call flows between floors can be confgured usng Pat. Oter settngs and confguratons suc as percentage of growt, bandwdt, packet sze, ost and network latences can be confgured under VoIP Settngs tab. Te results of maxmum calls to be supported based on trougput and delay bounds are reported separately under Analyss opton. Te tool as useful pull-down menus to save and restore confguratons from a fle. Also under te Tools opton one can vew and verfy te network topology. 1 Te tool s freeware and can be downloaded from ttp:// zp.

4 number of voce calls to be supported. Terefore 307 voce calls can be supported. 4 Concludng Remarks Fgure 1. Analytcal tool optons In order to llustrate te tool s optons furter we gve an example. Fgure 2 llustrates a typcal network topology of a small enterprse resdng n a g-rse buldng. Ts topology was also reported n [6] and used ere for comparson purposes. We wll also use te same parameter values for background traffc, traffc flow, and call dstrbuton as tose reported n [6]. Accordng to [7] and [8], te capacty C for te router or te swtc, s 25,000pps and 1.3M pps, respectvely. All lnks are swtced full-duplex Fast (100Mbps). Te network sows te added VoIP nodes of an H.323 gatekeeper and gateway. Te gatekeeper node andles sgnalng for establsng, termnatng, and autorzng connectons of voce calls. Te VoIP gateway s responsble for convertng VoIP calls to/from te Publc Swtced Telepone Network (PSTN). Oter ardware requrements nclude a VoIP clent termnal, wc can be a separate VoIP devce,.e., IP pones, or a typcal PC or workstaton tat s VoIP-enabled. Fgure 3 sows te correspondng network dagram produced by te analytcal tool. It can be noted tat tere was no need to ave separate nodes for floor s PCs and Servers. However, ter aggregate background traffc was taken nto account. We also gnore te sgnalng traffc generated by te gatekeeper. We base our analyss and desgn on te worstcase scenaro for VoIP call traffc. Te sgnalng traffc nvolvng te gatekeeper s only generated pror to te establsment of te voce call and wen te call s fnsed. Ts traffc s relatvely lmted and small compared to te actual voce call traffc. In general, te gatekeeper generates no sgnalng traffc trougout te duraton of te VoIP call for an already establsed on-gong call. Fgure 4 (Left) sows te number of calls tat can be supported for selected nodes and lnks. It s sown tat te router s te bottleneck wt 314 voce calls to support. Fgure 4 (Rgt) sows tat network can support 307 voce calls wt less tan 80 ms (actually sown 74 ms) of network delay. So one can conclude tat network delay (for ts partcular network topology) s te more domnant parameter n determnng te Te paper presented an analytcal approac and a GUIbased analytcal tool to assess network readness and support for VoIP. Te approac can elp network researcers and desgners to determne quckly and easly ow well VoIP wll perform on a network pror to deployment. Pror to te purcase and deployment of VoIP equpment, t s possble to predct te number of VoIP calls tat can be sustaned by te network wle satsfyng QoS requrements of all exstng and new network servces and leavng enoug capacty for future growt. Te results obtaned by te analytcal tool are very muc n lne wt reported results of prevous work reported n [6]. Te results of [6] were based on analytcal results obtaned usng Matlab and OPNET smulaton. In ts paper, only peer-topeer voce calls were consdered. As a future work, one can consder mplementng mportant VoIP optons suc as VoIP conferencng and messagng. Acknowledgements Te autor acknowledges te support of Kng Fad Unversty of Petroleum and Mnerals n te development of ts work. Specal tanks go to Mr. A. Alkoradly and Mr. K. El-Badaw for ter valuable dscussons, comments. References [1] M.Bearden,L.Denby,B.Karacal,J.Meloce,andD.T.Stott, Assessng Network Readness for IP Telepony, Proceedngs of IEEE Internatonal Conference on Communcatons, ICC02, vol.4, 2002, pp [2] B. Karacal, L. Denby, and J. Melce, Scalable Network Assessment for IP Telepony, Proceedngs of IEEE Internatonal Conference on Communcatons (ICC04), Pars, June 2004, pp [3] Recommendaton G.114, One-Way Transmsson Tme, ITU, [4] M. Karam and F. Tobag, Analyss of delay and delay jtter of voce traffc n te Internet, Computer Networks Magazne, vol. 40, no. 6, December 2002, pp (2002) [5] K. M. Candy and C. H. Sauer, Approxmate metods for analyzng queueng network models of computng systems, Journal of ACM Computng Surveys, vol. 10, no. 3, September 1978, pp ` [6] Sala, K., On te Deployment of VoIP n Eternet Networks: Metodology and Case Study, Internatonal Journal of Computer Communcatons, Elsever Scence, (In Press). [7] Csco Systems Inc., Csco 2621 Modular Access Router Securty Polcy, 2001, ttp:// 2600/secure/2621rect.pdf [8] 3Com, 3Com Networkng Product Gude, Aprl 2004, ttp://

5 Fgure 2. Network topology wt added VoIP Components Fgure 3. Correspondng network dagram generated by analytcal tool Fgure 4. Trougput and delay analyss report

Priority queues and heaps Professors Clark F. Olson and Carol Zander

Priority queues and heaps Professors Clark F. Olson and Carol Zander Prorty queues and eaps Professors Clark F. Olson and Carol Zander Prorty queues A common abstract data type (ADT) n computer scence s te prorty queue. As you mgt expect from te name, eac tem n te prorty

More information

Parallelism for Nested Loops with Non-uniform and Flow Dependences

Parallelism for Nested Loops with Non-uniform and Flow Dependences Parallelsm for Nested Loops wth Non-unform and Flow Dependences Sam-Jn Jeong Dept. of Informaton & Communcaton Engneerng, Cheonan Unversty, 5, Anseo-dong, Cheonan, Chungnam, 330-80, Korea. seong@cheonan.ac.kr

More information

An Optimal Algorithm for Prufer Codes *

An Optimal Algorithm for Prufer Codes * J. Software Engneerng & Applcatons, 2009, 2: 111-115 do:10.4236/jsea.2009.22016 Publshed Onlne July 2009 (www.scrp.org/journal/jsea) An Optmal Algorthm for Prufer Codes * Xaodong Wang 1, 2, Le Wang 3,

More information

Real-Time Guarantees. Traffic Characteristics. Flow Control

Real-Time Guarantees. Traffic Characteristics. Flow Control Real-Tme Guarantees Requrements on RT communcaton protocols: delay (response s) small jtter small throughput hgh error detecton at recever (and sender) small error detecton latency no thrashng under peak

More information

Simulation Based Analysis of FAST TCP using OMNET++

Simulation Based Analysis of FAST TCP using OMNET++ Smulaton Based Analyss of FAST TCP usng OMNET++ Umar ul Hassan 04030038@lums.edu.pk Md Term Report CS678 Topcs n Internet Research Sprng, 2006 Introducton Internet traffc s doublng roughly every 3 months

More information

Investigations of Topology and Shape of Multi-material Optimum Design of Structures

Investigations of Topology and Shape of Multi-material Optimum Design of Structures Advanced Scence and Tecnology Letters Vol.141 (GST 2016), pp.241-245 ttp://dx.do.org/10.14257/astl.2016.141.52 Investgatons of Topology and Sape of Mult-materal Optmum Desgn of Structures Quoc Hoan Doan

More information

Efficient Distributed File System (EDFS)

Efficient Distributed File System (EDFS) Effcent Dstrbuted Fle System (EDFS) (Sem-Centralzed) Debessay(Debsh) Fesehaye, Rahul Malk & Klara Naherstedt Unversty of Illnos-Urbana Champagn Contents Problem Statement, Related Work, EDFS Desgn Rate

More information

AADL : about scheduling analysis

AADL : about scheduling analysis AADL : about schedulng analyss Schedulng analyss, what s t? Embedded real-tme crtcal systems have temporal constrants to meet (e.g. deadlne). Many systems are bult wth operatng systems provdng multtaskng

More information

Delay Variation Optimized Traffic Allocation Based on Network Calculus for Multi-path Routing in Wireless Mesh Networks

Delay Variation Optimized Traffic Allocation Based on Network Calculus for Multi-path Routing in Wireless Mesh Networks Appl. Math. Inf. Sc. 7, No. 2L, 467-474 2013) 467 Appled Mathematcs & Informaton Scences An Internatonal Journal http://dx.do.org/10.12785/ams/072l13 Delay Varaton Optmzed Traffc Allocaton Based on Network

More information

Evaluation of an Enhanced Scheme for High-level Nested Network Mobility

Evaluation of an Enhanced Scheme for High-level Nested Network Mobility IJCSNS Internatonal Journal of Computer Scence and Network Securty, VOL.15 No.10, October 2015 1 Evaluaton of an Enhanced Scheme for Hgh-level Nested Network Moblty Mohammed Babker Al Mohammed, Asha Hassan.

More information

Wishing you all a Total Quality New Year!

Wishing you all a Total Quality New Year! Total Qualty Management and Sx Sgma Post Graduate Program 214-15 Sesson 4 Vnay Kumar Kalakband Assstant Professor Operatons & Systems Area 1 Wshng you all a Total Qualty New Year! Hope you acheve Sx sgma

More information

FAHP and Modified GRA Based Network Selection in Heterogeneous Wireless Networks

FAHP and Modified GRA Based Network Selection in Heterogeneous Wireless Networks 2017 2nd Internatonal Semnar on Appled Physcs, Optoelectroncs and Photoncs (APOP 2017) ISBN: 978-1-60595-522-3 FAHP and Modfed GRA Based Network Selecton n Heterogeneous Wreless Networks Xaohan DU, Zhqng

More information

A mathematical programming approach to the analysis, design and scheduling of offshore oilfields

A mathematical programming approach to the analysis, design and scheduling of offshore oilfields 17 th European Symposum on Computer Aded Process Engneerng ESCAPE17 V. Plesu and P.S. Agach (Edtors) 2007 Elsever B.V. All rghts reserved. 1 A mathematcal programmng approach to the analyss, desgn and

More information

Related-Mode Attacks on CTR Encryption Mode

Related-Mode Attacks on CTR Encryption Mode Internatonal Journal of Network Securty, Vol.4, No.3, PP.282 287, May 2007 282 Related-Mode Attacks on CTR Encrypton Mode Dayn Wang, Dongda Ln, and Wenlng Wu (Correspondng author: Dayn Wang) Key Laboratory

More information

Positive Semi-definite Programming Localization in Wireless Sensor Networks

Positive Semi-definite Programming Localization in Wireless Sensor Networks Postve Sem-defnte Programmng Localzaton n Wreless Sensor etworks Shengdong Xe 1,, Jn Wang, Aqun Hu 1, Yunl Gu, Jang Xu, 1 School of Informaton Scence and Engneerng, Southeast Unversty, 10096, anjng Computer

More information

Cooperative Network Coding-Aware Routing for Multi-Rate Wireless Networks

Cooperative Network Coding-Aware Routing for Multi-Rate Wireless Networks Ts full text paper was peer revewed at te drecton of IEEE Communcatons Socety subject matter experts for publcaton n te IEEE INFOCOM 009 proceedngs. Cooperatve Network Codng-Aware Routng for Mult-Rate

More information

Bounding Tree Cover Number and Positive Semidefinite Zero Forcing Number

Bounding Tree Cover Number and Positive Semidefinite Zero Forcing Number Bounding Tree Cover Number and Positive Semidefinite Zero Forcing Number Sofia Burille Mentor: Micael Natanson September 15, 2014 Abstract Given a grap, G, wit a set of vertices, v, and edges, various

More information

Load-Balanced Anycast Routing

Load-Balanced Anycast Routing Load-Balanced Anycast Routng Chng-Yu Ln, Jung-Hua Lo, and Sy-Yen Kuo Department of Electrcal Engneerng atonal Tawan Unversty, Tape, Tawan sykuo@cc.ee.ntu.edu.tw Abstract For fault-tolerance and load-balance

More information

Routing in Degree-constrained FSO Mesh Networks

Routing in Degree-constrained FSO Mesh Networks Internatonal Journal of Hybrd Informaton Technology Vol., No., Aprl, 009 Routng n Degree-constraned FSO Mesh Networks Zpng Hu, Pramode Verma, and James Sluss Jr. School of Electrcal & Computer Engneerng

More information

Voice capacity of IEEE b WLANs

Voice capacity of IEEE b WLANs Voce capacty of IEEE 82.b WLANs D. S. Amanatads, V. Vtsas, A. Mantsars 2, I. Mavrds 2, P. Chatzmsos and A.C. Boucouvalas 3 Abstract-There s a tremendous growth n the deployment and usage of Wreless Local

More information

Compiler Design. Spring Register Allocation. Sample Exercises and Solutions. Prof. Pedro C. Diniz

Compiler Design. Spring Register Allocation. Sample Exercises and Solutions. Prof. Pedro C. Diniz Compler Desgn Sprng 2014 Regster Allocaton Sample Exercses and Solutons Prof. Pedro C. Dnz USC / Informaton Scences Insttute 4676 Admralty Way, Sute 1001 Marna del Rey, Calforna 90292 pedro@s.edu Regster

More information

Strategies for Improving the Quality of Polling Service in

Strategies for Improving the Quality of Polling Service in CSCC 2017 Strateges for Improvng te Qualty of Pollng Servce n Wreless Metropoltan Area etwork Z-Jun Yan g 1, 2, Yang Su 1,*, Hong-We Dng 1 and Yang-Yang Dng 1 1 Scool of Informaton Scence and Engneerng,

More information

The Codesign Challenge

The Codesign Challenge ECE 4530 Codesgn Challenge Fall 2007 Hardware/Software Codesgn The Codesgn Challenge Objectves In the codesgn challenge, your task s to accelerate a gven software reference mplementaton as fast as possble.

More information

X- Chart Using ANOM Approach

X- Chart Using ANOM Approach ISSN 1684-8403 Journal of Statstcs Volume 17, 010, pp. 3-3 Abstract X- Chart Usng ANOM Approach Gullapall Chakravarth 1 and Chaluvad Venkateswara Rao Control lmts for ndvdual measurements (X) chart are

More information

Constructing Minimum Connected Dominating Set: Algorithmic approach

Constructing Minimum Connected Dominating Set: Algorithmic approach Constructng Mnmum Connected Domnatng Set: Algorthmc approach G.N. Puroht and Usha Sharma Centre for Mathematcal Scences, Banasthal Unversty, Rajasthan 304022 usha.sharma94@yahoo.com Abstract: Connected

More information

Mode-seeking by Medoidshifts

Mode-seeking by Medoidshifts Mode-seekng by Medodsfts Yaser Ajmal Sek Robotcs Insttute Carnege Mellon Unversty yaser@cs.cmu.edu Erum Arf Kan Department of Computer Scence Unversty of Central Florda ekan@cs.ucf.edu Takeo Kanade Robotcs

More information

Problem Definitions and Evaluation Criteria for Computational Expensive Optimization

Problem Definitions and Evaluation Criteria for Computational Expensive Optimization Problem efntons and Evaluaton Crtera for Computatonal Expensve Optmzaton B. Lu 1, Q. Chen and Q. Zhang 3, J. J. Lang 4, P. N. Suganthan, B. Y. Qu 6 1 epartment of Computng, Glyndwr Unversty, UK Faclty

More information

CERIAS Tech Report Spam Detection in Voice-over-IP Calls through Semi-Supervised Clustering by Yu-Sung Wu, Saurabh Bagchi, Navjot Singh,

CERIAS Tech Report Spam Detection in Voice-over-IP Calls through Semi-Supervised Clustering by Yu-Sung Wu, Saurabh Bagchi, Navjot Singh, CERIAS Tec Report 9-3 Spam Detecton n Voce-over-IP Calls troug Sem-Supervsed Clusterng by Yu-Sung Wu, Saurab Bagc, Navjot Sng, Ratsameetp Wta Center for Educaton and Researc Informaton Assurance and Securty

More information

Analysis of Collaborative Distributed Admission Control in x Networks

Analysis of Collaborative Distributed Admission Control in x Networks 1 Analyss of Collaboratve Dstrbuted Admsson Control n 82.11x Networks Thnh Nguyen, Member, IEEE, Ken Nguyen, Member, IEEE, Lnha He, Member, IEEE, Abstract Wth the recent surge of wreless home networks,

More information

Tsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance

Tsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance Tsnghua Unversty at TAC 2009: Summarzng Mult-documents by Informaton Dstance Chong Long, Mnle Huang, Xaoyan Zhu State Key Laboratory of Intellgent Technology and Systems, Tsnghua Natonal Laboratory for

More information

3. CR parameters and Multi-Objective Fitness Function

3. CR parameters and Multi-Objective Fitness Function 3 CR parameters and Mult-objectve Ftness Functon 41 3. CR parameters and Mult-Objectve Ftness Functon 3.1. Introducton Cogntve rados dynamcally confgure the wreless communcaton system, whch takes beneft

More information

IPP-HURRAY! Research Group. Polytechnic Institute of Porto School of Engineering (ISEP-IPP)

IPP-HURRAY! Research Group. Polytechnic Institute of Porto School of Engineering (ISEP-IPP) IPP-HURRAY! Researc Group Polytecnc Insttute of Porto Scool of Engneerng (ISEP-IPP) Desgnng Real-Tme Systems Based on Mono-Master Profbus-DP Networks r Salvatore MONFORTE Máro ALVES Francsco VASQUES (FEUP)

More information

arxiv: v1 [cs.pf] 1 Oct 2016

arxiv: v1 [cs.pf] 1 Oct 2016 Data-Unt-Sze Dstrbuton Model wt Retransmtted Packet Sze Preservaton Property and Its Applcaton to Goodput Analyss for Stop-and-Wat Protocol: Case of Independent Packet Losses Takas Ikegawa Abstract arxv:1610.00149v1

More information

Evaluation of Parallel Processing Systems through Queuing Model

Evaluation of Parallel Processing Systems through Queuing Model ISSN 2278-309 Vkas Shnde, Internatonal Journal of Advanced Volume Trends 4, n Computer No.2, March Scence - and Aprl Engneerng, 205 4(2), March - Aprl 205, 36-43 Internatonal Journal of Advanced Trends

More information

A fault tree analysis strategy using binary decision diagrams

A fault tree analysis strategy using binary decision diagrams Loughborough Unversty Insttutonal Repostory A fault tree analyss strategy usng bnary decson dagrams Ths tem was submtted to Loughborough Unversty's Insttutonal Repostory by the/an author. Addtonal Informaton:

More information

Resource Allocation and Management in DiffServ Networks for IP Telephony

Resource Allocation and Management in DiffServ Networks for IP Telephony esource Allocaton and Management n DffServ etworks for IP Telephony Maarten Büchl, Danny De Vleeschauwer, Jan Janssen, Anneles Van Moffaert, Gudo H. Pett Alcatel Bell, etwork Strategy Group Francs Wellesplen

More information

Classifying Acoustic Transient Signals Using Artificial Intelligence

Classifying Acoustic Transient Signals Using Artificial Intelligence Classfyng Acoustc Transent Sgnals Usng Artfcal Intellgence Steve Sutton, Unversty of North Carolna At Wlmngton (suttons@charter.net) Greg Huff, Unversty of North Carolna At Wlmngton (jgh7476@uncwl.edu)

More information

Circuit Analysis I (ENGR 2405) Chapter 3 Method of Analysis Nodal(KCL) and Mesh(KVL)

Circuit Analysis I (ENGR 2405) Chapter 3 Method of Analysis Nodal(KCL) and Mesh(KVL) Crcut Analyss I (ENG 405) Chapter Method of Analyss Nodal(KCL) and Mesh(KVL) Nodal Analyss If nstead of focusng on the oltages of the crcut elements, one looks at the oltages at the nodes of the crcut,

More information

Some Advanced SPC Tools 1. Cumulative Sum Control (Cusum) Chart For the data shown in Table 9-1, the x chart can be generated.

Some Advanced SPC Tools 1. Cumulative Sum Control (Cusum) Chart For the data shown in Table 9-1, the x chart can be generated. Some Advanced SP Tools 1. umulatve Sum ontrol (usum) hart For the data shown n Table 9-1, the x chart can be generated. However, the shft taken place at sample #21 s not apparent. 92 For ths set samples,

More information

Video Proxy System for a Large-scale VOD System (DINA)

Video Proxy System for a Large-scale VOD System (DINA) Vdeo Proxy System for a Large-scale VOD System (DINA) KWUN-CHUNG CHAN #, KWOK-WAI CHEUNG *# #Department of Informaton Engneerng *Centre of Innovaton and Technology The Chnese Unversty of Hong Kong SHATIN,

More information

On the Exact Analysis of Bluetooth Scheduling Algorithms

On the Exact Analysis of Bluetooth Scheduling Algorithms On the Exact Analyss of Bluetooth Schedulng Algorth Gl Zussman Dept. of Electrcal Engneerng Technon IIT Hafa 3000, Israel glz@tx.technon.ac.l Ur Yechal Dept. of Statstcs and Operatons Research School of

More information

An Analytical Simulator for Deploying IP Telephony

An Analytical Simulator for Deploying IP Telephony An Analytical Simulator for Deploying IP Telephony K. Salah ** N. Darwish M. Saleem Y. Shaaban Department of Information and Computer Science King Fahd University of Petroleum and Minerals Dhahran 31261,

More information

Analysis of Continuous Beams in General

Analysis of Continuous Beams in General Analyss of Contnuous Beams n General Contnuous beams consdered here are prsmatc, rgdly connected to each beam segment and supported at varous ponts along the beam. onts are selected at ponts of support,

More information

Derivation of Three Queue Nodes Discrete-Time Analytical Model Based on DRED Algorithm

Derivation of Three Queue Nodes Discrete-Time Analytical Model Based on DRED Algorithm Seventh Internatonal Conference on Informaton Technology Dervaton of Three Queue Nodes Dscrete-Tme Analytcal Model Based on DRED Algorthm Jafar Ababneh, Hussen Abdel-Jaber, 3 Fad Thabtah, 3 Wael Had, EmranBadarneh

More information

Prof. Feng Liu. Spring /24/2017

Prof. Feng Liu. Spring /24/2017 Prof. Feng Lu Sprng 2017 ttp://www.cs.pd.edu/~flu/courses/cs510/ 05/24/2017 Last me Compostng and Mattng 2 oday Vdeo Stablzaton Vdeo stablzaton ppelne 3 Orson Welles, ouc of Evl, 1958 4 Images courtesy

More information

A Binarization Algorithm specialized on Document Images and Photos

A Binarization Algorithm specialized on Document Images and Photos A Bnarzaton Algorthm specalzed on Document mages and Photos Ergna Kavalleratou Dept. of nformaton and Communcaton Systems Engneerng Unversty of the Aegean kavalleratou@aegean.gr Abstract n ths paper, a

More information

Reducing Frame Rate for Object Tracking

Reducing Frame Rate for Object Tracking Reducng Frame Rate for Object Trackng Pavel Korshunov 1 and We Tsang Oo 2 1 Natonal Unversty of Sngapore, Sngapore 11977, pavelkor@comp.nus.edu.sg 2 Natonal Unversty of Sngapore, Sngapore 11977, oowt@comp.nus.edu.sg

More information

Quality of service for voice over IP in networks with congestion avoidance

Quality of service for voice over IP in networks with congestion avoidance Ann. Telecommun. (2009) 64:225 237 DOI 0.007/s2243-008-0054- Qualty of servce for voce over IP n networks wth congeston avodance Vtalo A. Reguera Evelo M. G. Fernandez Felx A. Palza Walter Godoy Jr. Eduardo

More information

Wightman. Mobility. Quick Reference Guide THIS SPACE INTENTIONALLY LEFT BLANK

Wightman. Mobility. Quick Reference Guide THIS SPACE INTENTIONALLY LEFT BLANK Wghtman Moblty Quck Reference Gude THIS SPACE INTENTIONALLY LEFT BLANK WIGHTMAN MOBILITY BASICS How to Set Up Your Vocemal 1. On your phone s dal screen, press and hold 1 to access your vocemal. If your

More information

Dynamic Bandwidth Provisioning with Fairness and Revenue Considerations for Broadband Wireless Communication

Dynamic Bandwidth Provisioning with Fairness and Revenue Considerations for Broadband Wireless Communication Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subject matter experts for publcaton n the ICC 008 proceedngs. Dynamc Bandwdth Provsonng wth Farness and Revenue Consderatons

More information

Cluster Analysis of Electrical Behavior

Cluster Analysis of Electrical Behavior Journal of Computer and Communcatons, 205, 3, 88-93 Publshed Onlne May 205 n ScRes. http://www.scrp.org/ournal/cc http://dx.do.org/0.4236/cc.205.350 Cluster Analyss of Electrcal Behavor Ln Lu Ln Lu, School

More information

Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers

Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers IOSR Journal of Electroncs and Communcaton Engneerng (IOSR-JECE) e-issn: 78-834,p- ISSN: 78-8735.Volume 9, Issue, Ver. IV (Mar - Apr. 04), PP 0-07 Content Based Image Retreval Usng -D Dscrete Wavelet wth

More information

Avoiding congestion through dynamic load control

Avoiding congestion through dynamic load control Avodng congeston through dynamc load control Vasl Hnatyshn, Adarshpal S. Seth Department of Computer and Informaton Scences, Unversty of Delaware, Newark, DE 976 ABSTRACT The current best effort approach

More information

Analytic Evaluation of Quality of Service for On-Demand Data Delivery

Analytic Evaluation of Quality of Service for On-Demand Data Delivery Analytc Evaluaton of Qualty of Servce for On-Demand Data Delvery Hongfe Guo Haonan Tan ( guo@cs.wsc.edu) (haonan@cs.wsc.edu) Abstract Qualty of servce (QoS) measured as balkng probablty and average watng

More information

Load Balancing for Hex-Cell Interconnection Network

Load Balancing for Hex-Cell Interconnection Network Int. J. Communcatons, Network and System Scences,,, - Publshed Onlne Aprl n ScRes. http://www.scrp.org/journal/jcns http://dx.do.org/./jcns.. Load Balancng for Hex-Cell Interconnecton Network Saher Manaseer,

More information

Cell Count Method on a Network with SANET

Cell Count Method on a Network with SANET CSIS Dscusson Paper No.59 Cell Count Method on a Network wth SANET Atsuyuk Okabe* and Shno Shode** Center for Spatal Informaton Scence, Unversty of Tokyo 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

More information

New Exploration of Packet-Pair Probing for Available Bandwidth Estimation and Traffic Characterization

New Exploration of Packet-Pair Probing for Available Bandwidth Estimation and Traffic Characterization New Exploraton of Packet-Par Probng for Avalable Bandwdth Estmaton and Traffc Characterzaton Yu Cheng, Vkram Ravndran, Alberto Leon-Garca, Hsao-Hwa Chen Department of Electrcal and Computer Engneerng,

More information

The AVL Balance Condition. CSE 326: Data Structures. AVL Trees. The AVL Tree Data Structure. Is this an AVL Tree? Height of an AVL Tree

The AVL Balance Condition. CSE 326: Data Structures. AVL Trees. The AVL Tree Data Structure. Is this an AVL Tree? Height of an AVL Tree CSE : Data Structures AL Trees Neva Cernavsy Summer Te AL Balance Condton AL balance property: Left and rgt subtrees of every node ave egts dfferng by at most Ensures small dept ll prove ts by sowng tat

More information

Enhancement of Infrequent Purchased Product Recommendation Using Data Mining Techniques

Enhancement of Infrequent Purchased Product Recommendation Using Data Mining Techniques Enhancement of Infrequent Purchased Product Recommendaton Usng Data Mnng Technques Noraswalza Abdullah, Yue Xu, Shlomo Geva, and Mark Loo Dscplne of Computer Scence Faculty of Scence and Technology Queensland

More information

Support Vector Machines

Support Vector Machines /9/207 MIST.6060 Busness Intellgence and Data Mnng What are Support Vector Machnes? Support Vector Machnes Support Vector Machnes (SVMs) are supervsed learnng technques that analyze data and recognze patterns.

More information

ARTICLE IN PRESS. Signal Processing: Image Communication

ARTICLE IN PRESS. Signal Processing: Image Communication Sgnal Processng: Image Communcaton 23 (2008) 754 768 Contents lsts avalable at ScenceDrect Sgnal Processng: Image Communcaton journal homepage: www.elsever.com/locate/mage Dstrbuted meda rate allocaton

More information

Optimization of Local Routing for Connected Nodes with Single Output Ports - Part I: Theory

Optimization of Local Routing for Connected Nodes with Single Output Ports - Part I: Theory U J.T. (: 33- (pr. 0 Optmzaton of Local Routng for Connected odes wth Sngle Output Ports - Part I: Theory Dobr tanassov Batovsk Faculty of Scence and Technology ssumpton Unversty Bangkok Thaland E-mal:

More information

Transit Networking in ATM/B-ISDN based on Service Category

Transit Networking in ATM/B-ISDN based on Service Category Transt Networkng n ATM/B-ISDN based on Servce Category Young-Tak Km Dept. of Informaton and Communcaton Engneerng, College of Engneerng, YeungNam Unv. E-mal : ytkm@ynucc.yeungnam.ac.kr ABSTRACT The ATM

More information

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration Improvement of Spatal Resoluton Usng BlockMatchng Based Moton Estmaton and Frame Integraton Danya Suga and Takayuk Hamamoto Graduate School of Engneerng, Tokyo Unversty of Scence, 6-3-1, Nuku, Katsuska-ku,

More information

Minimum Cost Optimization of Multicast Wireless Networks with Network Coding

Minimum Cost Optimization of Multicast Wireless Networks with Network Coding Mnmum Cost Optmzaton of Multcast Wreless Networks wth Network Codng Chengyu Xong and Xaohua L Department of ECE, State Unversty of New York at Bnghamton, Bnghamton, NY 13902 Emal: {cxong1, xl}@bnghamton.edu

More information

Learning the Kernel Parameters in Kernel Minimum Distance Classifier

Learning the Kernel Parameters in Kernel Minimum Distance Classifier Learnng the Kernel Parameters n Kernel Mnmum Dstance Classfer Daoqang Zhang 1,, Songcan Chen and Zh-Hua Zhou 1* 1 Natonal Laboratory for Novel Software Technology Nanjng Unversty, Nanjng 193, Chna Department

More information

Scheduling Remote Access to Scientific Instruments in Cyberinfrastructure for Education and Research

Scheduling Remote Access to Scientific Instruments in Cyberinfrastructure for Education and Research Schedulng Remote Access to Scentfc Instruments n Cybernfrastructure for Educaton and Research Je Yn 1, Junwe Cao 2,3,*, Yuexuan Wang 4, Lanchen Lu 1,3 and Cheng Wu 1,3 1 Natonal CIMS Engneerng and Research

More information

Computer Communications

Computer Communications Computer Communcatons 3 (22) 3 48 Contents lsts avalable at ScVerse ScenceDrect Computer Communcatons journal homepage: www.elsever.com/locate/comcom On the queueng behavor of nter-flow asynchronous network

More information

Adaptive Network Resource Management in IEEE Wireless Random Access MAC

Adaptive Network Resource Management in IEEE Wireless Random Access MAC Adaptve Network Resource Management n IEEE 802.11 Wreless Random Access MAC Hao Wang, Changcheng Huang, James Yan Department of Systems and Computer Engneerng Carleton Unversty, Ottawa, ON, Canada Abstract

More information

Gateway Algorithm for Fair Bandwidth Sharing

Gateway Algorithm for Fair Bandwidth Sharing Algorm for Far Bandwd Sharng We Y, Rupnder Makkar, Ioanns Lambadars Department of System and Computer Engneerng Carleton Unversty 5 Colonel By Dr., Ottawa, ON KS 5B6, Canada {wy, rup, oanns}@sce.carleton.ca

More information

ISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 4, Issue 6, December 2014

ISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 4, Issue 6, December 2014 Access Latency Model of Popularty Based QOS-Aware Replca Management Algorthms for Effcent Content Dstrbuton n Dstrbuted Computng Networks 1 Dr. Anna Saro Vendran, 2 S. Thavaman 1 M.C.A., M.Phl., Ph.D.,

More information

Algorithms for Routing and Centralized Scheduling to Provide QoS in IEEE Mesh Networks

Algorithms for Routing and Centralized Scheduling to Provide QoS in IEEE Mesh Networks Algorthms for Routng and Centralzed Schedulng to Provde QoS n IEEE 802.16 Mesh Networks Harsh Shetya Dept of Electrcal Communcaton Engneerng Indan Insttute of Scence Bangalore, Inda. 560012 harsh@pal.ece.sc.ernet.n

More information

Faster Network Design with Scenario Pre-filtering

Faster Network Design with Scenario Pre-filtering Faster Network Desgn wth Scenaro Pre-flterng Debojyot Dutta, Ashsh Goel, John Hedemann ddutta@s.edu, agoel@usc.edu, johnh@s.edu Informaton Scences Insttute School of Engneerng Unversty of Southern Calforna

More information

Comparisons of Packet Scheduling Algorithms for Fair Service among Connections on the Internet

Comparisons of Packet Scheduling Algorithms for Fair Service among Connections on the Internet Comparsons of Packet Schedulng Algorthms for Far Servce among Connectons on the Internet Go Hasegawa, Takahro Matsuo, Masayuk Murata and Hdeo Myahara Department of Infomatcs and Mathematcal Scence Graduate

More information

Two-Stage Data Distribution for Distributed Surveillance Video Processing with Hybrid Storage Architecture

Two-Stage Data Distribution for Distributed Surveillance Video Processing with Hybrid Storage Architecture Two-Stage Data Dstrbuton for Dstrbuted Survellance Vdeo Processng wth Hybrd Storage Archtecture Yangyang Gao, Hatao Zhang, Bngchang Tang, Yanpe Zhu, Huadong Ma Bejng Key Lab of Intellgent Telecomm. Software

More information

Concurrent Apriori Data Mining Algorithms

Concurrent Apriori Data Mining Algorithms Concurrent Apror Data Mnng Algorthms Vassl Halatchev Department of Electrcal Engneerng and Computer Scence York Unversty, Toronto October 8, 2015 Outlne Why t s mportant Introducton to Assocaton Rule Mnng

More information

DESIGNING TRANSMISSION SCHEDULES FOR WIRELESS AD HOC NETWORKS TO MAXIMIZE NETWORK THROUGHPUT

DESIGNING TRANSMISSION SCHEDULES FOR WIRELESS AD HOC NETWORKS TO MAXIMIZE NETWORK THROUGHPUT DESIGNING TRANSMISSION SCHEDULES FOR WIRELESS AD HOC NETWORKS TO MAXIMIZE NETWORK THROUGHPUT Bran J. Wolf, Joseph L. Hammond, and Harlan B. Russell Dept. of Electrcal and Computer Engneerng, Clemson Unversty,

More information

Fibre-Optic AWG-based Real-Time Networks

Fibre-Optic AWG-based Real-Time Networks Fbre-Optc AWG-based Real-Tme Networks Krstna Kunert, Annette Böhm, Magnus Jonsson, School of Informaton Scence, Computer and Electrcal Engneerng, Halmstad Unversty {Magnus.Jonsson, Krstna.Kunert}@de.hh.se

More information

Distributed Resource Scheduling in Grid Computing Using Fuzzy Approach

Distributed Resource Scheduling in Grid Computing Using Fuzzy Approach Dstrbuted Resource Schedulng n Grd Computng Usng Fuzzy Approach Shahram Amn, Mohammad Ahmad Computer Engneerng Department Islamc Azad Unversty branch Mahallat, Iran Islamc Azad Unversty branch khomen,

More information

A Topology-aware Random Walk

A Topology-aware Random Walk A Topology-aware Random Walk Inkwan Yu, Rchard Newman Dept. of CISE, Unversty of Florda, Ganesvlle, Florda, USA Abstract When a graph can be decomposed nto clusters of well connected subgraphs, t s possble

More information

A Distributed First and Last Consistent Global Checkpoint Algorithm

A Distributed First and Last Consistent Global Checkpoint Algorithm A Dstrbuted Frst and Last Consstent Global Cecpont Algortm Yosfum Manabe NTT Basc Researc Laboratores 3-1 Mornosato-Waamya, Atsug-s, Kanagawa 43-01 Japan manabe@teory.brl.ntt.co.p Abstract Dstrbuted coordnated

More information

Enhanced Watermarking Technique for Color Images using Visual Cryptography

Enhanced Watermarking Technique for Color Images using Visual Cryptography Informaton Assurance and Securty Letters 1 (2010) 024-028 Enhanced Watermarkng Technque for Color Images usng Vsual Cryptography Enas F. Al rawashdeh 1, Rawan I.Zaghloul 2 1 Balqa Appled Unversty, MIS

More information

Analysis of a Polling System Modeling QoS Differentiation in WLANs

Analysis of a Polling System Modeling QoS Differentiation in WLANs Analyss of a Pollng System Modelng QoS Dfferentaton n WLANs T.J.M. Coenen Unversty of Twente Department of Appled Mathematcs Enschede, The Netherlands t.j.m.coenen@utwente.nl J.L. van den Berg TNO Informaton

More information

A Network Bandwidth Computation Technique for IP Storage with QoS Guarantees

A Network Bandwidth Computation Technique for IP Storage with QoS Guarantees A Network Bandwdth Computaton Technque for IP Storage wth QoS Guarantees Young Jn Nam 1, Junkl Ryu 1, Chank Park 1, and Jong Suk Ahn 2 1 Department of Computer Scence and Engneerng Pohang Unversty of Scence

More information

Mathematics 256 a course in differential equations for engineering students

Mathematics 256 a course in differential equations for engineering students Mathematcs 56 a course n dfferental equatons for engneerng students Chapter 5. More effcent methods of numercal soluton Euler s method s qute neffcent. Because the error s essentally proportonal to the

More information

Lobachevsky State University of Nizhni Novgorod. Polyhedron. Quick Start Guide

Lobachevsky State University of Nizhni Novgorod. Polyhedron. Quick Start Guide Lobachevsky State Unversty of Nzhn Novgorod Polyhedron Quck Start Gude Nzhn Novgorod 2016 Contents Specfcaton of Polyhedron software... 3 Theoretcal background... 4 1. Interface of Polyhedron... 6 1.1.

More information

ANALYTICAL MODEL AND PERFORMANCE ANALYSIS OF A NETWORK INTERFACE CARD. Abstract

ANALYTICAL MODEL AND PERFORMANCE ANALYSIS OF A NETWORK INTERFACE CARD. Abstract ANALYTICAL MODEL AND PERFORMANCE ANALYSIS OF A NETWORK INTERFACE CARD Naveen Cherukur 1, Gokul B. Kandraju 2, Natarajan Gautam 3, and Anand Svasubramanam 4 Abstract One of the key concerns for practtoners

More information

Priority-Based Scheduling Algorithm for Downlink Traffics in IEEE Networks

Priority-Based Scheduling Algorithm for Downlink Traffics in IEEE Networks Prorty-Based Schedulng Algorthm for Downlnk Traffcs n IEEE 80.6 Networks Ja-Mng Lang, Jen-Jee Chen, You-Chun Wang, Yu-Chee Tseng, and Bao-Shuh P. Ln Department of Computer Scence Natonal Chao-Tung Unversty,

More information

Skew Angle Estimation and Correction of Hand Written, Textual and Large areas of Non-Textual Document Images: A Novel Approach

Skew Angle Estimation and Correction of Hand Written, Textual and Large areas of Non-Textual Document Images: A Novel Approach Angle Estmaton and Correcton of Hand Wrtten, Textual and Large areas of Non-Textual Document Images: A Novel Approach D.R.Ramesh Babu Pyush M Kumat Mahesh D Dhannawat PES Insttute of Technology Research

More information

Virtual Memory. Background. No. 10. Virtual Memory: concept. Logical Memory Space (review) Demand Paging(1) Virtual Memory

Virtual Memory. Background. No. 10. Virtual Memory: concept. Logical Memory Space (review) Demand Paging(1) Virtual Memory Background EECS. Operatng System Fundamentals No. Vrtual Memory Prof. Hu Jang Department of Electrcal Engneerng and Computer Scence, York Unversty Memory-management methods normally requres the entre process

More information

Modelling a Queuing System for a Virtual Agricultural Call Center

Modelling a Queuing System for a Virtual Agricultural Call Center 25-28 July 2005, Vla Real, Portugal Modellng a Queung System for a Vrtual Agrcultural Call Center İnc Şentarlı, a, Arf Orçun Sakarya b a, Çankaya Unversty, Department of Management,06550, Balgat, Ankara,

More information

Advanced Computer Networks

Advanced Computer Networks Char of Network Archtectures and Servces Department of Informatcs Techncal Unversty of Munch Note: Durng the attendance check a stcker contanng a unque QR code wll be put on ths exam. Ths QR code contans

More information

Channel 0. Channel 1 Channel 2. Channel 3 Channel 4. Channel 5 Channel 6 Channel 7

Channel 0. Channel 1 Channel 2. Channel 3 Channel 4. Channel 5 Channel 6 Channel 7 Optmzed Regonal Cachng for On-Demand Data Delvery Derek L. Eager Mchael C. Ferrs Mary K. Vernon Unversty of Saskatchewan Unversty of Wsconsn Madson Saskatoon, SK Canada S7N 5A9 Madson, WI 5376 eager@cs.usask.ca

More information

Parallel Inverse Halftoning by Look-Up Table (LUT) Partitioning

Parallel Inverse Halftoning by Look-Up Table (LUT) Partitioning Parallel Inverse Halftonng by Look-Up Table (LUT) Parttonng Umar F. Sddq and Sadq M. Sat umar@ccse.kfupm.edu.sa, sadq@kfupm.edu.sa KFUPM Box: Department of Computer Engneerng, Kng Fahd Unversty of Petroleum

More information

Quantifying Performance Models

Quantifying Performance Models Quantfyng Performance Models Prof. Danel A. Menascé Department of Computer Scence George Mason Unversty www.cs.gmu.edu/faculty/menasce.html 1 Copyrght Notce Most of the fgures n ths set of sldes come from

More information

Programming in Fortran 90 : 2017/2018

Programming in Fortran 90 : 2017/2018 Programmng n Fortran 90 : 2017/2018 Programmng n Fortran 90 : 2017/2018 Exercse 1 : Evaluaton of functon dependng on nput Wrte a program who evaluate the functon f (x,y) for any two user specfed values

More information

Sample Solution. Advanced Computer Networks P 1 P 2 P 3 P 4 P 5. Module: IN2097 Date: Examiner: Prof. Dr.-Ing. Georg Carle Exam: Final exam

Sample Solution. Advanced Computer Networks P 1 P 2 P 3 P 4 P 5. Module: IN2097 Date: Examiner: Prof. Dr.-Ing. Georg Carle Exam: Final exam Char of Network Archtectures and Servces Department of Informatcs Techncal Unversty of Munch Note: Durng the attendance check a stcker contanng a unque QR code wll be put on ths exam. Ths QR code contans

More information

TN348: Openlab Module - Colocalization

TN348: Openlab Module - Colocalization TN348: Openlab Module - Colocalzaton Topc The Colocalzaton module provdes the faclty to vsualze and quantfy colocalzaton between pars of mages. The Colocalzaton wndow contans a prevew of the two mages

More information

Convolutional interleaver for unequal error protection of turbo codes

Convolutional interleaver for unequal error protection of turbo codes Convolutonal nterleaver for unequal error protecton of turbo codes Sna Vaf, Tadeusz Wysock, Ian Burnett Unversty of Wollongong, SW 2522, Australa E-mal:{sv39,wysock,an_burnett}@uow.edu.au Abstract: Ths

More information

kccvoip.com basic voip training NAT/PAT extract 2008

kccvoip.com basic voip training NAT/PAT extract 2008 kccvop.com basc vop tranng NAT/PAT extract 28 As we have seen n the prevous sldes, SIP and H2 both use addressng nsde ther packets to rely nformaton. Thnk of an envelope where we place the addresses of

More information