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.
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Zhang, L., Liu, Z., Riabov, A., Schulman, M., Xia, C., Zhang, F. (2003). A Comprehensive Toolset for Workload Characterization, Performance Modeling, and Online Control. In: Kemper, P., Sanders, W.H. (eds) Computer Performance Evaluation. Modelling Techniques and Tools. TOOLS 2003. Lecture Notes in Computer Science, vol 2794. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45232-4_5
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DOI: https://doi.org/10.1007/978-3-540-45232-4_5
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