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Benchmarking Grid Applications for Performance and Scalability Predictions

Benchmarking Grid Applications for Performance and Scalability Predictions

Radu Prodan, Farrukh Nadeeem, Thomas Fahringer
Copyright: © 2010 |Pages: 33
ISBN13: 9781605666617|ISBN10: 1605666610|EISBN13: 9781605666624
DOI: 10.4018/978-1-60566-661-7.ch005
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MLA

Prodan, Radu, et al. "Benchmarking Grid Applications for Performance and Scalability Predictions." Handbook of Research on Scalable Computing Technologies, edited by Kuan-Ching Li, et al., IGI Global, 2010, pp. 89-121. https://doi.org/10.4018/978-1-60566-661-7.ch005

APA

Prodan, R., Nadeeem, F., & Fahringer, T. (2010). Benchmarking Grid Applications for Performance and Scalability Predictions. In K. Li, C. Hsu, L. Yang, J. Dongarra, & H. Zima (Eds.), Handbook of Research on Scalable Computing Technologies (pp. 89-121). IGI Global. https://doi.org/10.4018/978-1-60566-661-7.ch005

Chicago

Prodan, Radu, Farrukh Nadeeem, and Thomas Fahringer. "Benchmarking Grid Applications for Performance and Scalability Predictions." In Handbook of Research on Scalable Computing Technologies, edited by Kuan-Ching Li, et al., 89-121. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-661-7.ch005

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Abstract

Application benchmarks can play a key role in analyzing and predicting the performance and scalability of Grid applications, serve as an evaluation of the fitness of a collection of Grid resources for running a specific application or class of applications (Tsouloupas & Dikaiakos, 2007), and help in implementing performance-aware resource allocation policies of real time job schedulers. However, application benchmarks have been largely ignored due to diversified types of applications, multi-constrained executions, dynamic Grid behavior, and heavy computational costs. To remedy these, the authors present an approach taken by the ASKALON Grid environment that computes application benchmarks considering variations in the problem size of the application and machine size of the Grid site. Their system dynamically controls the number of benchmarking experiments for individual applications and manages the execution of these experiments on different Grid sites. They present experimental results of our method for three real-world applications in the Austrian Grid environment.

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