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Performance Modeling of Enterprise Grids

In: Data Engineering

Author

Listed:
  • Doug L. Hoffman

    (Acxiom Corporation)

  • Amy Apon

    (University of Arkansas at Fayetteville)

  • Larry Dowdy

    (Vanderbilt University)

  • Baochuan Lu

    (University of Arkansas at Fayetteville)

  • Nathan Hamm

    (Vanderbilt University)

  • Linh Ngo

    (Acxiom Corporation)

  • Hung Bui

    (University of Arkansas at Fayetteville)

Abstract

Modeling has long been recognized as an invaluable tool for predicting the performance behavior of computer systems. Modeling software, both commercial and open source, is widely used as a guide for the development of new systems and the upgrading of exiting ones. Tools such as queuing network models, stochastic Petri nets, and event driven simulation are in common use for stand-alone computer systems and networks. Unfortunately, no set of comprehensive tools exists for modeling complex distributed computing environments such as the ones found in emerging grid deployments. With the rapid advance of grid computing, the need for improved modeling tools specific to the grid environment has become evident. This chapter addresses concepts, methodologies, and tools that are useful when designing, implementing, and tuning the performance in grid and cluster environments

Suggested Citation

  • Doug L. Hoffman & Amy Apon & Larry Dowdy & Baochuan Lu & Nathan Hamm & Linh Ngo & Hung Bui, 2009. "Performance Modeling of Enterprise Grids," International Series in Operations Research & Management Science, in: Yupo Chan & John Talburt & Terry M. Talley (ed.), Data Engineering, chapter 9, pages 169-201, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-0176-7_9
    DOI: 10.1007/978-1-4419-0176-7_9
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