Rana / Cunha Grid Computing: Software Environments and Tools

1. Auflage 2007
ISBN: 978-1-84628-339-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 346 Seiten, eBook

Grid Computing requires the use of software that can divide and farm out pieces of a program to as many as several thousand computers. This book explores processes and techniques needed to create a successful Grid infrastructure. Leading researchers in Europe and the US look at the development of specialist tools and environments which will encourage the convergence of the parallel programming, distributed computing and data management communities.Specific topics covered include:An overview of structural and behavioural properties of Computer Grid applications Discussion of alternative programming techniques Case studies displaying the potential of Computer Grids in solving real problems This book is unique in its outline of the needs of Computational Grids both in integration of high-end resources using OGSA/Globus, and the loose integration of Peer-2-Peer/Entropia/United Devices. Readers will gain an insight on the limitations of existing approaches as well as the standardisation activities currently taking place.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Rana, Omer F.

Cunha, Jose Cardoso

Inhaltsverzeichnis

Virtualization in Grids: A Semantical Approach.- Virtualization in Grids: A Semantical Approach.- Using Event Models in Grid Design.- Using Event Models in Grid Design.- Intelligent Grids.- Intelligent Grids.- Programming and Process.- A Grid Software Process.- Grid Programming with Java, RMI, and Skeletons.- User Environments and Tools.- A Review of Grid Portal Technology.- A Framework for Loosely Coupled Applications on Grid Environments.- Toward GRIDLE: A Way to Build Grid Applications Searching Through an Ecosystem of Components.- Programming, Composing, Deploying for the Grid.- ASSIST As a Research Framework for High-Performance Grid Programming Environments.- A Visual Programming Environment for Developing Complex Grid Applications.- Applications.- Solving Computationally Intensive Engineering Problems on the Grid Using Problem Solving Environments.- Design Principles for a Grid-enabled Problem-solving Environment to Be Used by Engineers.- Toward the Utilization of Grid Computingin Electronic Learning.