I Design and Implementation of Flow - Level Simulator FSIM for Performance Evaluation of Large Scale Networks

نویسندگان

  • Yusuke Sakumoto
  • Hiroyuki Ohsaki
  • Makoto Imase
چکیده

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 feature of our flow-level simulator FSIM is fast simulation execution compared with a conventional flow-level simulator. For accelerating simulation execution speed, our flow-level simulator FSIM adopts an adaptive numerical computation algorithm for ordinary differential equations. Another features of our flow-level simulator FSIM are accuracy and compatibility with an existing network performance analysis tool. For improving simulation accuracy, our flow-level simulator FSIM utilizes accurate fluid-flow models. In this paper, through extensive 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 200%-2,000% faster simulation with higher accuracy and less memory consumption than a conventional flow-level simulator.

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تاریخ انتشار 2014