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Author:

Chu, Wei-Bo (Chu, Wei-Bo.) | Guan, Xiao-Hong (Guan, Xiao-Hong.) | Cai, Zhong-Min (Cai, Zhong-Min.) | Tao, Jing (Tao, Jing.)

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Abstract:

Interactive network scenario reproduction is an important method for generating realistic and responsive traffic workloads. However, due to the complex traffic generation mechanisms, controlling traffic volume based on accurate mathematical models in interactive network scenario reproduction becomes a challenging problem. In this paper, we design and implement a volume control system for interactive network traffic replay, and formulate the volume control task as a target tracking problem where the output traffic volume is regulated through adjustment of input traffic volume. We then adopt a function approximator (FA) in our system to generate the desired input volumes. The FA characterizes the mapping that takes system measurements as input and directly produces controls as output. Meanwhile, simultaneous perturbation stochastic approximation (SPSA) algorithm is employed to adaptively estimate the parameters in control. To validate the system and the method we have implemented it and conducted experiments with actual traffic traces. Empirical studies show that our system can track target output volumes effectively under a wide range of network conditions. The performance of the control system is further investigated in terms of its convergence time, generated input/output traffic volume and target tracking error.

Keyword:

Design and implements Empirical studies Function approximators Network condition Network scenario Simultaneous perturbation stochastic approximation algorithms System measurement Traffic generation

Author Community:

  • [ 1 ] [Chu, Wei-Bo;Guan, Xiao-Hong;Cai, Zhong-Min;Tao, Jing]MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an 710049, China
  • [ 2 ] [Guan, Xiao-Hong]Department of Automation, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China

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Source :

Jisuanji Xuebao/Chinese Journal of Computers

ISSN: 0254-4164

Year: 2012

Issue: 7

Volume: 35

Page: 1485-1497

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count: -1

Chinese Cited Count: -1

30 Days PV: 2

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