Fundamentals of Grid Computing: Theory, Algorithms and Technologies

Frederic Magoules

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December 23, 2009 by Chapman and Hall/CRC
Reference - 322 Pages - 60 B/W Illustrations
ISBN 9781439803677 - CAT# K10205
Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series

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Features

  • Focuses on sharing resources, data replication, data management, fault tolerance, scheduling, broadcasting, and load balancing algorithms
  • Discusses emerging and potential developments in grid computing, including grid portals, cloud computing, and service-oriented computing
  • Describes token-based mutual exclusion, selective-rank replication, distributed scheduling, and distributed load balancing algorithms
  • Explores large-scale computing in high energy physics, weather forecasting, genetics, and more
  • Uses simulations to evaluate the performance of models and algorithms
  • Covers two types of easy-to-use open source software written in Java

Summary

The integration and convergence of state-of-the-art technologies in the grid have enabled more flexible, automatic, and complex grid services to fulfill industrial and commercial needs, from the LHC at CERN to meteorological forecasting systems. Fundamentals of Grid Computing: Theory, Algorithms and Technologies discusses how the novel technologies of semantic web and workflow have been integrated into the grid and grid services.

The book explains how distributed mutual exclusion algorithms offer solutions to transmission and control processes. It also addresses the replication problem in data grids with limited replica storage and the problem of data management in grids. After comparing utility, grid, autonomic, and cloud computing, the book presents efficient solutions for the reliable execution of applications in computational grid platforms. It then describes a fault tolerant distributed scheduling algorithm for large-scale distributed applications, along with broadcasting algorithms for institutional grids. The final chapter shows how load balancing is integrated into a real-world scientific application.

Helping readers develop practical skills in grid technology, the appendices introduce user-friendly open source software written in Java. One of the software packages covers strategies for data replication in the grid. The other deals with the implementation of a simulator for distributed scheduling in grid environments.

The various technology presented in this book demonstrates the wide aspects of interest in grid computing as well as the many possibilities and venues that exist in this research area. This interest will only further evolve as numerous exciting developments still await us.