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Fundamentals of Grid Computing

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autonomic
Average Completion Time
Broadcast Tree
Category=UB
Category=UKC
Category=UMB
Category=UTG
Category=UYF
cloud
Cloud Computing
collider
computational resource management
Consistent Global State
Data Grid
data replication strategies
database
distributed
distributed systems
Ecole Centrale Paris
environment
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Execution Time
Expected Completion Time
fault
Fault Tolerance
Fault Tolerance Protocols
Grid Computing
Grid Middleware
Grid Portal
Grid Services
hadron
Inter Algorithm
Inter Token
Interesting Processor
Java grid simulation
Job Execution Time
large
large-scale distributed scheduling algorithm
LDAP
Load Balancing
Load Balancing Algorithm
Multi-objective Scheduling
Mutual Exclusion Algorithms
OGSA
resource synchronisation
scientific workflow automation
tolerance
Utility Computing

Product details

  • ISBN 9781439803677
  • Weight: 600g
  • Dimensions: 156 x 234mm
  • Publication Date: 23 Dec 2009
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description

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.
About

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