Performance Modeling of Enterprise Grids

Doug L. Hoffman, Amy Apon, Larry Dowdy, Baochuan Lu, Nathan Hamm, Linh Ngo and Hung Bui
Additional contact information
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

Chapter 9 in Data Engineering, 2009, pp 169-201 from Springer

Abstract: 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

Keywords: Service Level Agreement; Capacity Planning; Shared Service; First Come First Serve; Queueing Network Model (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1007/978-1-4419-0176-7_9

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