Fundamentals of Grid Computing : Theory, Algorithms and Technologies
Fundamentals of Grid Computing : Theory, Algorithms and Technologies
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Author(s): Magoules, Frederic
ISBN No.: 9781439803677
Pages: 322
Year: 200912
Format: Trade Cloth (Hard Cover)
Price: $ 172.50
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

Grid Computing Overview, Frédéric Magoulès, 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 Frédéric Magoulès 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 Frédéric Magoulès 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 Frédéric Magoulès 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 Cérin, 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, Raphaël 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 Frédéric Magoulès Appendix B: Implementation of the Simulator for the Distributed Scheduling Model, Lei Yu and Frédéric Magoulès Index Concluding remarks and References appear at the end of each chapter. p;lt;STRONG>Data Replication in Grid Environment, Thi-Mai-Huong Nguyen and Frédéric Magoulès 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 Frédéric Magoulès 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 Frédéric Magoulès 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 Cérin, 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, Raphaël 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 Frédéric Magoulès Appendix B: Implementation of the Simulator for the Distributed Scheduling Model, Lei Yu and Frédéric Magoulès Index Concluding remarks and References appear at the end of each chapter. amp;lt;/STRONG>, Fei Teng and Frédéric Magoulès 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 Frédéric Magoulès 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 Cérin, 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, Raphaël 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 Frédéric Magoulès Appendix B: Implementation of the Simulator for the Distributed Scheduling Model, Lei Yu and Frédéric Magoulès Index Concluding remarks and References appear at the end of each chapter.


;EM>Lei Yu and Frédéric Magoulès 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 Cérin, 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, Raphaël 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 Frédéric Magoulès Appendix B: Implementation of the Simulator for the Distributed Scheduling Model, Lei Yu and Frédéric Magoulès Index Concluding remarks and References appear at the end of each chapter. onomy 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 Frédéric Magoulès Appendix B: Implementation of the Simulator for the Distributed Scheduling Model, Lei Yu and Frédéric Magoulès Index Concluding remarks and References appear at the end of each chapter.


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