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Titolo:
SWiMNet: A scalable parallel simulation testbed for wireless and mobile networks
Autore:
Boukerche, A; Das, SK; Fabbri, A;
Indirizzi:
Univ N Texas, Dept Comp Sci, Denton, TX 76203 USA Univ N Texas Denton TX USA 76203 xas, Dept Comp Sci, Denton, TX 76203 USA Univ Texas, Dept Comp Sci & Engn, Arlington, TX 76019 USA Univ Texas Arlington TX USA 76019 omp Sci & Engn, Arlington, TX 76019 USA
Titolo Testata:
WIRELESS NETWORKS
fascicolo: 5, volume: 7, anno: 2001,
pagine: 467 - 486
SICI:
1022-0038(2001)7:5<467:SASPST>2.0.ZU;2-1
Fonte:
ISI
Lingua:
ENG
Soggetto:
VIRTUAL TIME;
Keywords:
parallel discrete event simulation; PCS network models; framework for PCS network simulation; performance analysis;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
21
Recensione:
Indirizzi per estratti:
Indirizzo: Boukerche, A Univ N Texas, Dept Comp Sci, Denton, TX 76203 USA Univ N Texas Denton TX USA 76203 p Sci, Denton, TX 76203 USA
Citazione:
A. Boukerche et al., "SWiMNet: A scalable parallel simulation testbed for wireless and mobile networks", WIREL NETW, 7(5), 2001, pp. 467-486

Abstract

We present a framework, called SWiMNet, for parallel simulation of wireless and mobile PCS networks, which allows realistic and detailed modeling of mobility, call traffic, and PCS network deployment. SWiMNet is based upon event precomputation and a combination of optimistic and conservative synchronization mechanisms. Event precomputation is the result of model independence within the global PCS network. Low percentage of blocked calls typical for PCS networks is exploited in the channel allocation simulation of precomputed events by means of an optimistic approach. Various experiments were conducted to study the performance and scalability of SWiMNet using a realistic mobility model and executed on a cluster of workstations. Experimental results indicate that our parallel simulation model yields good speedup, and significantly reduces the execution time compared to a sequential implementation. Finally, an analytical study of our PCSsimulation model is also presented and compared with the experimental results. Our model is found to be consistent with the analytical study.

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Documento generato il 04/04/20 alle ore 23:07:09