Clustering Network Simulation: Graph Partitioning Approach (CROSBI ID 509240)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Puljiz, Zrinka ; Mikuc, Miljenko
engleski
Clustering Network Simulation: Graph Partitioning Approach
Scalability is one of the main challenges faced by every network simulator. Various techniques can be applied in order to improve scalability. The most common include increasing simulation speed or reducing the level of detail as a trade-off to network reality. Clustering the simulated network by applying graph partitioning algorithms is an alternative approach and also the main topic of this paper. The idea is to distribute the network simulation over the existing topology. We consider two graph partitioning algorithms available in literature. The algorithms were implemented and tested on randomly generated networks in order to compare their performances. Our motivation for research in this area is driven by the need for efficient techniques which could improve the simulation capabilities and increase the scalability of IMUNES. IMUNES is a network simulator which has been developed at the University of Zagreb, FER.
Network simulation; clustering
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Podaci o prilogu
169-172-x.
2005.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 8th international conference on telecommunications ConTEL 2005
Gledec, Gordan ; Ježić, Gordan
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
Podaci o skupu
CONTEL 2005
predavanje
08.06.2005-10.06.2005
Zagreb, Hrvatska