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Title: |
Advanced Parallel & Distributed Computing |
| Sub-title: |
Evaluation, Improvement & Practice |
Search Result:
| Edited by: |
Yuan-Shun Dai, Yi Pan, Rajeev Raje |
| ISBN10-13: |
1600212026 : 9781600212024 |
| Illustrations: |
tables & charts |
| Format: |
Hardback |
| Size: |
180x260mm |
| Pages: |
322 |
| Weight: |
.852 Kg. |
| Published: |
Nova Science Publishers, Inc (US) - December 2006 |
| List Price: |
172.99 Pounds Sterling |
| Availability: |
In Stock
Qty Available: 1 |
| Subjects: |
Parallel processing |
| The field of parallel and distributed computing is undergoing changes at a breathtaking pace. Networked computers are now omnipresent in virtually every application, from games to sophisticated space missions. The increasing complexity, heterogeneity, largeness, and dynamism of the emerging pervasive environments and associated applications are challenging the advancement of the parallel and distributed computing paradigm. Many novel infrastructures have been or are being created to provide the necessary computational fabric for realising parallel and distributed applications from diverse domains. New models and tools are also being proposed to evaluate and predict the quality of these complicated parallel and distributed systems. Current and recent past efforts, made to provide the infrastructures and models for such applications, have addressed many underlying complex problems and have thus resulted in new tools and paradigms for effectively realising parallel and distributed systems. This book showcases these novel tools and approaches with inputs from relevant experts. |
| Table of Contents: |
| Preface; Introduction; Dependability Evaluation and Modelling; Security and Trusted Collaborative Computing; Performability Modelling and Evaluation; Survivability Evaluation and Modelling; Towards Optimal Performance in Distributed Memory Systems; Project AutoMate: Enabling Self Managing Grid Applications; Grid Programming Models and Environments; Software Rejuvenation; Uniframe: An Automated Resource Management System; Genetics Algorithms for Scheduling Real-Time Tasks onto Multi-Processors; Autonomic Management of Space Missions; The Next-Generation Wireless Internet; Grid-Email; A Web Based City Navigation Utilising the Mobile Grid. |
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