Fundamentals of Grid Computing

Fundamentals of Grid Computing : Theory, Algorithms and Technologies

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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.
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Product details

  • Hardback | 322 pages
  • 162.56 x 236.22 x 22.86mm | 566.99g
  • Whittles Publishing
  • London, United Kingdom
  • English
  • New.
  • 17 Tables, black and white; 60 Illustrations, black and white
  • 1439803676
  • 9781439803677

Table of contents

Grid Computing Overview, Frederic Magoules, Thi-Mai-Huong Nguyen, and Lei Yu


Introduction


Definitions


Classifying grid systems


Grid applications


Grid architecture


Grid computing projects


Grid evolution


Synchronization Protocols for Sharing Resources in Grid Environments, Julien Sopena, Luciana Arantes, Fabrice Legond-Aubry, and Pierre Sens


Introduction


Token-based mutual exclusion algorithms


Mutual exclusion algorithms for large configurations


Composition approach to mutual exclusion algorithms


Composition properties and its natural effects


Performance evaluation





Data Replication in Grid Environment, Thi-Mai-Huong Nguyen and Frederic Magoules


Introduction


Data replication


System architecture


Selective-rank model for replication system


Selective-rank replication algorithm


Evaluation





Data Management in Grids, Jean-Marc Pierson


Introduction


From data sources to databases ... to data sources


Positioning the data management in grids within distributed systems


Links with the other services of the middleware


Problems and some solutions


Toward pervasive, autonomic and on-demand data management





Future of Grids Resources Management, Fei Teng and Frederic Magoules


Introduction


Several computing paradigm


Definition of cloud computing


Cloud services


Cloud resource management


Future direction of resource scheduling





Fault Tolerance and Availability Awareness in Computational Grids, Xavier Besseron, Mohamed-Slim Bouguerra, Thierry Gautier, Erik Saule, and Denis Trystram


Introduction


Background and definitions


Multi-objective scheduling for safety


Stable memory-based protocols


Stochastic checkpoint model analysis issues


Implementations





Fault Tolerance for Distributed Scheduling in Grids, Lei Yu and Frederic Magoules


Introduction


Fault tolerance in distributed systems


Distributed scheduling model


Fault detection and repairing in the tree structure


Distributed scheduling algorithm


SimGrid and simulation design


Evaluation


Related work


Broadcasting for Grids, Christophe Cerin, Luiz-Angelo Steffenel, and Hazem Fkaier


Introduction


Broadcastings


Heuristics for broadcasting


Related work and related methods





Load Balancing Algorithms for Dynamic Networks, Jacques M. Bahi, Raphael Couturier, and Abderrahmane Sider


Introduction


A taxonomy for load balancing


Distributed load balancing algorithms for static networks


Distributed load balancing algorithms for dynamic networks


Implementation


A practical example: the advection diffusion application





Appendix A: Implementation of the Replication Strategies in OptorSim, Thi-Mai-Huong Nguyen and Frederic Magoules





Appendix B: Implementation of the Simulator for the Distributed Scheduling Model, Lei Yu and Frederic Magoules





Index





Concluding remarks and References appear at the end of each chapter.
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Review quote

... the common characteristics [of the nine chapters] are the clear exposition and the practical view, especially in what concerns the available implementations of the concepts. ... The introductory chapters as well as the ones referring to recent trends can be useful for graduate students who are interested in distributed computing, while the chapters addressing data management, scheduling, synchronization, fault tolerance or broadcasting provide new solutions for researchers and practitioners already initiated in grid computing techniques.
-Zentralblatt MATH, 1191


This book shows, in some sense, the way to the future, where next generation middleware such as those described here will replace in the production infrastructure the more rudimentary ones in use today. Therefore, I am sure that the readers will greatly benefit from this insightful journey in the heart of the grids, a key technology in a very large number of scientific endeavors.
-From the Foreword by Guy Wormser, Institut des Grilles, CNRS, Orsay, France
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About Frederic Magoules

Frederic Magoules is a professor in the Applied Mathematics and Systems Laboratory at Ecole Centrale Paris in Chatenay-Malabry, France.
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