Reliability and Performance Models for Grid Computing

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Author(s): Yuan-Shun Dai (University of Electronics Science Technology of China, China & University of Tennessee, Knoxville, USA)and Jack Dongarra (University of Tennessee, Knoxville, USA; Oak Ridge National Laboratory, USA; & University of Manchester, UK)
Copyright: 2012
Pages: 22
Source title: Grid and Cloud Computing: Concepts, Methodologies, Tools and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-0879-5.ch106

Keywords: Computer Science & IT / Grid & High Performance Computing / High Performance Computing / Information Science Reference

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Abstract

Grid computing is a newly developed technology for complex systems with large-scale resource sharing, wide-area communication, and multi-institutional collaboration. It is hard to analyze and model the Grid reliability because of its largeness, complexity and stiffness. Therefore, this chapter introduces the Grid computing technology, presents different types of failures in grid system, models the grid reliability with star structure and tree structure, and finally studies optimization problems for grid task partitioning and allocation. The chapter then presents models for star-topology considering data dependence and tree-structure considering failure correlation. Evaluation tools and algorithms are developed, evolved from Universal generating function and Graph Theory. Then, the failure correlation and data dependence are considered in the model. Numerical examples are illustrated to show the modeling and analysis.

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