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A Comprehensive Toolset for Workload Characterization, Performance Modeling, and Online Control

  • Li Zhang
  • Zhen Liu
  • Anton Riabov
  • Monty Schulman
  • Cathy Xia
  • Fan Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2794)

Abstract

With the advances of computer hardware and software technologies, electronic businesses are moving towards the on-demand era, where services and applications can be deployed or accommodated in a dynamic and autonomic fashion. This leads to a more flexible and efficient way to manage various system resources. For on-demand services and applications, performance modeling and analysis play key roles in many aspects of such an autonomic system. In this paper, we present a comprehensive toolset developed for workload characterization, performance modeling and analysis, and on-line control. The development of the toolset is based on state-of-the art techniques in statistical analysis, queueing theory, scheduling techniques, and on-line control methodologies. Built on a flexible software architecture, this toolset provides significant value for key business processes. This includes capacity planning, performance prediction, performance engineering and on-line control of system resources.

Keywords

Performance analysis performance prediction capacity planning Web service modeling queueing networks on-line control 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Li Zhang
    • 1
  • Zhen Liu
    • 1
  • Anton Riabov
    • 1
  • Monty Schulman
    • 1
  • Cathy Xia
    • 1
  • Fan Zhang
    • 1
  1. 1.IBM Thomas J. Watson Research CenterYorktown Heights

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