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What is Bayesian Analysis

Handbook of Research on Scalable Computing Technologies
Use Bayes method to get the posterior distribution from a prior distribution.
Published in Chapter:
Reliability and Performance Models for Grid Computing
Yuan-Shun Dai (University of Electronic Science Technology of China, China and University of Tennessee, USA) and Jack Dongarra (University of Tennessee and Oak Ridge National Laboratory, USA and University of Manchester, UK)
Copyright: © 2010 |Pages: 27
DOI: 10.4018/978-1-60566-661-7.ch010
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 treestructure 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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Supply Chain Disruptions and the Effects on Price Stability: An Intercountry Analysis
A paradigm that relies on a statistical process updating relevant parameters’ probabilities by using prior knowledge.
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