Grid Computing: Infrastructure, Service, and Applications

Author:   Lizhe Wang (Rochester Institute of Technology, USA) ,  Wei Jie (Beijing University, China) ,  Jinjun Chen
Publisher:   Taylor & Francis Inc
ISBN:  

9781420067668


Pages:   528
Publication Date:   16 April 2009
Format:   Hardback
Availability:   In Print   Availability explained
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Grid Computing: Infrastructure, Service, and Applications


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Overview

Identifies Recent Technological Developments Worldwide The field of grid computing has made rapid progress in the past few years, evolving and developing in almost all areas, including concepts, philosophy, methodology, and usages. Grid Computing: Infrastructure, Service, and Applications reflects the recent advances in this field, covering the research aspects that involve infrastructure, middleware, architecture, services, and applications. Grid Systems Across the Globe The first section of the book focuses on infrastructure and middleware and presents several national and international grid systems. The text highlights China Research and Development environment Over Wide-area Network (CROWN), several ongoing cyberinfrastructure efforts in New York State, and Enabling Grids for E-sciencE (EGEE), which is co-funded by the European Commission and the world's largest multidisciplinary grid infrastructure today. The second part of the book discusses recent grid service advances. The authors examine the UK National Grid Service (NGS), the concept of resource allocation in a grid environment, OMIIBPEL, and the possibility of treating scientific workflow issues using techniques from the data stream community. The book describes an SLA model, reviews portal and workflow technologies, presents an overview of PKIs and their limitations, and introduces PIndex, a peer-to-peer model for grid information services. New Projects and Initiatives The third section includes an analysis of innovative grid applications. Topics covered include the WISDOM initiative, incorporating flow-level networking models into grid simulators, system-level virtualization, grid usage in the high-energy physics environment in the LHC project, and the Service Oriented HLA RTI (SOHR) framework. With a comprehensive summary of past advances, this text is a window into the future of this nascent technology, forging a path for the next generation of cyberinfrastructure developers.

Full Product Details

Author:   Lizhe Wang (Rochester Institute of Technology, USA) ,  Wei Jie (Beijing University, China) ,  Jinjun Chen
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Dimensions:   Width: 15.60cm , Height: 3.30cm , Length: 23.40cm
Weight:   2.050kg
ISBN:  

9781420067668


ISBN 10:   1420067664
Pages:   528
Publication Date:   16 April 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

GRID INFRASTRUCTURE AND MIDDLEWARE. CROWN: A Service Grid Middleware for e-Science. Cyberinfrastructure in New York State. Enabling Grids for e-Science: The EGEE Project. ChinaGrid and Related Dependability Research. Gridbus Workflow Enactment Engine. GRID SERVICES. UK National Grid Service. Grid Resource Allocation. Grid Services Orchestration with OMII-BPEL. A Data Stream View of Scientific Workflow.Design of a Model-Based SLA Management Service and Its Applications Over Distributed SOA Environments. Portal and Workflow in Grid Computing: From Application Integration to Service Integration. Modeling P2P Grid Information Services with Colored Petri Nets. GRID APPLICATIONS. WISDOM: A Grid-Enabled Drug Discovery Initiative against Malaria. Flow Networking in Grid Simulations. Virtual Machines in Grid Environments: Dynamic Virtual Machines. High-Energy Physics Applications on the Grid. Design and Performance Evaluation of a Service-Oriented HLA RTI on the Grid. Index.

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Lizhe Wang, Wei Jie, Jinjun Chen

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