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An Analytical Model for Torus Networks in the Presence of Hot-Spot Traffic with Batch Arrivals

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4 Author(s)
Wu, Y. ; Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita ; Min, G. ; Ould-Khaoua, M. ; Yin, H.

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.

Published in:

Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 2007. MASCOTS '07. 15th International Symposium on

Date of Conference:

24-26 Oct. 2007