EcoGrid: A Toolkit for Modelling and Simulation of Grid Computing Environment for Evaluation of Resource Management Algorithms

EcoGrid: A Toolkit for Modelling and Simulation of Grid Computing Environment for Evaluation of Resource Management Algorithms

Hemant Kumar Mehta
ISBN13: 9781522501961|ISBN10: 1522501967|EISBN13: 9781522501978
DOI: 10.4018/978-1-5225-0196-1.ch030
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MLA

Mehta, Hemant Kumar. "EcoGrid: A Toolkit for Modelling and Simulation of Grid Computing Environment for Evaluation of Resource Management Algorithms." Project Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2016, pp. 607-623. https://doi.org/10.4018/978-1-5225-0196-1.ch030

APA

Mehta, H. K. (2016). EcoGrid: A Toolkit for Modelling and Simulation of Grid Computing Environment for Evaluation of Resource Management Algorithms. In I. Management Association (Ed.), Project Management: Concepts, Methodologies, Tools, and Applications (pp. 607-623). IGI Global. https://doi.org/10.4018/978-1-5225-0196-1.ch030

Chicago

Mehta, Hemant Kumar. "EcoGrid: A Toolkit for Modelling and Simulation of Grid Computing Environment for Evaluation of Resource Management Algorithms." In Project Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 607-623. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0196-1.ch030

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Abstract

This chapter presents a toolkit for evaluation of resource management algorithms developed for Grid computing. This simulator named as EcoGrid and it is devised to support large number of resource or computing nodes and processes. Generally, grid simulators represent each resource using a thread that occupies large amount of space on the thread stack in main memory. However, EcoGrid models each node by an object instead of a thread. Memory space used by an object is much smaller than a thread, thus EcoGrid is highly scalable as compared to state-of-the-art simulators. EcoGrid is dynamically configurable and works with real as well as synthetic workloads. The simulator is bundled with a synthetic load generator that generates the workload using appropriate statistical distributions.

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