Modeling and Simulation of Virtualized Autonomic Service Centers

  • Authors:
  • Xiaoying Wang; Zhihui Du; Sanli Li; Yinong Chen

  • Affiliations:
  • Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University, Beijing 100084;Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University, Beijing 100084;Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University, Beijing 100084;Computer Science & Engineering Department Arizona State University Tempe, AZ85287, US

  • Venue:
  • Simulation
  • Year:
  • 2008

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Abstract

Large service centers are becoming widely used to host many different services on a shared computing infrastructure, for which autonomic control and management are necessary to meet the service quality targets and maximize the overall profit. This paper presents the architecture, design and implementation of a framework for modeling and simulating virtualized autonomic service centers. This provides methods of estimating the system behavior for capacity planning before real establishment or execution. In addition, the performance of an existing service center can be efficiently evaluated. Performance analysis shows that our system is moderately efficient to perform large-scale simulation. Moreover, detailed evaluation results also depict various aspects of the feasibility and the efficiency of our modeling and simulation approaches, which can help to improve the productivity of researchers via quick proof of concepts.