Presentation 2003/9/12
On Network Model Division Method Based on Link-to-Link Traffic Intensity for Accelarating Parallel Simulatioin
Shinpei YOSHIDA, Hiroyuki OHSAKI, Makoto IMASE,
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Abstract(in English) In recent years, requirements for performance evaluation techniques of a large-scale network have been increasing. However, the conventional network performance evaluation techniques, such as mathematical modeling and simulation, are suitable for comparatively small-scale networks. Research on parallel simulation has been actively done in recent years, which might be a possible solution for simulating a large-scale network. However, since most existing network simulators are event-driven, parallelization of a network simulator is not easy task. In this paper, a novel network model division method based on link-to-link traffic intensity for accelerating parallel simulator of a large-scale network is proposed. The key ideas of our network model division method are as follows: (1) perform steady state analysis for the network model that is to be simulated, and estimate all traffic intensities along links in steady state, (2) repeatedly apply the minimum cut algorithm from graph theory based on the estimated traffic intensities, so that the simulation model is divided at the link that has little traffic intensities in steady state.
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Keyword(in English) Large-Scale Network / Network Simulator / Parallel Simulation / Cluster Computer
Paper # NS2003-120
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Conference Information
Committee NS
Conference Date 2003/9/12(1days)
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Paper Information
Registration To Network Systems(NS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On Network Model Division Method Based on Link-to-Link Traffic Intensity for Accelarating Parallel Simulatioin
Sub Title (in English)
Keyword(1) Large-Scale Network
Keyword(2) Network Simulator
Keyword(3) Parallel Simulation
Keyword(4) Cluster Computer
1st Author's Name Shinpei YOSHIDA
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Hiroyuki OHSAKI
2nd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
3rd Author's Name Makoto IMASE
3rd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
Date 2003/9/12
Paper # NS2003-120
Volume (vol) vol.103
Number (no) 310
Page pp.pp.-
#Pages 6
Date of Issue