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Article
Capacity Planning of a Commodity Cluster in an Academic Environment: A Case Study
Proceedings of the Linux Cluster Institute (LCI) International Conference on High Performance Cluster Computing
  • Linh B Ngo, Clemson University
  • Amy W. Apon, Clemson University
  • Baochuan Lu, University of Arkansas - Main Campus
  • Hung Bui, University of Arkansas - Main Campus
  • Nathan Hamm, Vanderbilt University
  • Larry Dowdy, Vanderbilt University
  • Doug Hoffman, Acxiom Corporation
  • Denny Brewer, Acxiom Corporation
Document Type
Conference Proceeding
Publication Date
4-1-2008
Disciplines
Abstract
In this paper, the design of a simulation model for evaluating two alternative supercomputer configurations in an academic environment is presented. The workload is analyzed and modeled, and its effect on the relative performance of both systems is studied. The Integrated Capacity Planning Environment (ICPE) toolkit, developed for commodity cluster capacity planning, is successfully applied to the target environment. The ICPE is a tool for workload modeling, simulation modeling, and what-if analysis. A new characterization strategy is applied to the workload to more accurately model commodity cluster work- loads. Through "what-if" analysis, the sensitivity of the baseline system performance to workload change, and also the relative performance of the two proposed alternative systems are compared and evaluated. This case study demonstrates the usefulness of the methodology and the applicability of the tools in gauging system capacity and making design decisions.
Citation Information
Linh B Ngo, Amy W. Apon, Baochuan Lu, Hung Bui, et al.. "Capacity Planning of a Commodity Cluster in an Academic Environment: A Case Study" Proceedings of the Linux Cluster Institute (LCI) International Conference on High Performance Cluster Computing (2008)
Available at: http://works.bepress.com/linhbngo/6/