DocumentCode :
3378809
Title :
Design and Implementation of Flow-Level Simulator for Performance Evaluation of Large Scale Networks
Author :
Sakumoto, Yusuke ; Asai, Ryouta ; Ohsaki, Hiroyuki ; Imase, Makoto
fYear :
2007
fDate :
24-26 Oct. 2007
Firstpage :
166
Lastpage :
172
Abstract :
In this paper, we propose a flow-level simulator called FSIM (Fluid-based SIMulator) for performance evaluation of large-scale networks, and verify its effectiveness using our FSIM implementation. The notable features of our flow-level simulator FSIM are its accuracy and fast simulation execution compared with conventional flow-level simulators. For improving simulation accuracy, our flow-level simulator FSIM utilizes accurate fluid-flow models. For accelerating simulation execution speed, our flow-level simulator FSIM adopts an adaptive numerical computation algorithm for ordinary differential equations. Another notable feature of our flow-level simulator FSIM is its compatibility with the existing network performance analysis tool. In this paper, through several experiments using our FSIM implementation, we evaluate the effectiveness of our flow-level simulator FSIM in terms of simulation speed, accuracy and memory consumption. Consequently, we show that our flow-level simulator FSIM outperforms a conventional flow-level simulator; i.e., it realizes approximately 100% faster simulation with higher accuracy and less memory consumption than a conventional flow-level simulator.
Keywords :
Acceleration; Analytical models; Computational modeling; Computer simulation; Differential equations; Discrete event simulation; Information science; Internet; Large-scale systems; Mathematical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 2007. MASCOTS '07. 15th International Symposium on
Conference_Location :
Istanbul, Turkey
ISSN :
1526-7539
Print_ISBN :
978-1-4244-1853-4
Electronic_ISBN :
1526-7539
Type :
conf
DOI :
10.1109/MASCOTS.2007.17
Filename :
4674412
Link To Document :
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