Magoules Fundamentals of Grid Computing

Theory, Algorithms and Technologies
1. Auflage 2010
ISBN: 978-1-4398-0368-4
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 322 Seiten

Reihe: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series

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.

Zielgruppe

Graduate students and researchers in grid computing; computer scientists, engineers, and applied mathematicians.

Autoren/Hrsg.

Magoules, Frederic

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing

Inhaltsverzeichnis

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.

Über Autor(innen)

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