Frédéric Magoulès is a professor in the Applied Mathematics and Systems Laboratory at École Centrale Paris in Châtenay-Malabry, France.

• Grid Computing Overview. Synchronization Protocols for Sharing Resources in Grid Environments. Data Replication in Grid Environment. Data Management in Grids. Future of Grids Resources Management. Fault Tolerance and Availability Awareness in Computational Grids. Fault Tolerance for Distributed Scheduling in Grids. Broadcasting for Grids. Load Balancing Algorithms for Dynamic Networks. Appendices. Index.

... 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

Frédéric Magoulès is a professor in the Applied Mathematics and Systems Laboratory at École Centrale Paris in Châtenay-Malabry, France.

• Grid Computing Overview. Synchronization Protocols for Sharing Resources in Grid Environments. Data Replication in Grid Environment. Data Management in Grids. Future of Grids Resources Management. Fault Tolerance and Availability Awareness in Computational Grids. Fault Tolerance for Distributed Scheduling in Grids. Broadcasting for Grids. Load Balancing Algorithms for Dynamic Networks. Appendices. Index.

... 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

Frédéric Magoulès is a professor in the Applied Mathematics and Systems Laboratory at École Centrale Paris in Châtenay-Malabry, France.

• Grid Computing Overview. Synchronization Protocols for Sharing Resources in Grid Environments. Data Replication in Grid Environment. Data Management in Grids. Future of Grids Resources Management. Fault Tolerance and Availability Awareness in Computational Grids. Fault Tolerance for Distributed Scheduling in Grids. Broadcasting for Grids. Load Balancing Algorithms for Dynamic Networks. Appendices. Index.

... 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