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Grid Computing: The New Frontier of High Performance Computing
 
 

Grid Computing: The New Frontier of High Performance Computing, 1st Edition

 
Grid Computing: The New Frontier of High Performance Computing, 1st Edition,Lucio Grandinetti,ISBN9780444519993
 
 
 

L Grandinetti   

Elsevier Science

9780444519993

444

240 X 165

Print Book

Hardcover

In Stock

Estimated Delivery Time
USD 230.00
 
 

Key Features

* Written by academic and industrial experts who have developed or used grid computing
* Many proposed solutions have been tested in real life applications
* Covers most essential and technically relevant issues in grid computing

Description

The book deals with the most recent technology of distributed computing.
As Internet continues to grow and provide practical connectivity between users of computers it has become possible to consider use of computing resources which are far apart and connected by Wide Area Networks.
Instead of using only local computing power it has become practical to access computing resources widely distributed. In some cases between different countries in other cases between different continents.
This idea of using computer power is similar to the well known electric power utility technology. Hence the name of this distributed computing technology is the Grid Computing.
Initially grid computing was used by technologically advanced scientific users.
They used grid computing to experiment with large scale problems which required high performance computing facilities and collaborative work.
In the next stage of development the grid computing technology has become effective and economically attractive for large and medium size commercial companies.
It is expected that eventually the grid computing style of providing computing power will become universal reaching every user in industry and business.

Readership

Researchers, (post-) graduate students and professionals in Computer Science and Grid Computing.

Lucio Grandinetti

Affiliations and Expertise

University of Calabria, Department of Computing, Rende, Italy

Grid Computing: The New Frontier of High Performance Computing, 1st Edition

EDITOR PREFACE
FOREWORD
LIST OF CONTRIBUTORS

PART 1 GENERAL ISSUES
The Advanced Networks and Services Underpinning Modern, Large-Scale Science: DOE's Esnet, W. E. Johnston.
Netsolve: Grid Enabling Scientific Computing Environments, K. Seymour, A. Yarkhan, S. Agrawal, and J. Dongarra.
Operations Research Methods for Resource Management and Scheduling in a Computational Grid: A Survey,
A. Attanasio, G. Ghiani, L. Grandinetti, E. Guerriero and F. Guerriero.
Peer-to-Peer Protocols and Grid Services for Resource Discovery on Grids, D. Talia and P. Trunfio.
Data Placement in Widely Distributed Environments,
T. Kosar, S.-C. Son, G. Kola and M. Livny.
The Grid Relational Catalog Project, G. Aloisio, M. Cafaro, S. Fiore and M. Mirto.

PART 2 PERFORMANCE
The "MIND" Scalable PIM Architecture, T. Sterling and M. Brodowicz.
SLA-aware Job Migration in Grid Environments,
F. Heine, M. Hovestadt, O. Kao and A. Keller
Micro-grids - the exploitation of massive on-chip concurrency, C. R. Jesshope
Autonomous Performance and Risk Management in Large
Distributed Systems and Grids, M. Brittan and J. Kowalik
Optimization Techniques for Skeletons on Grids,
M. Aldinucci, M. Danelutto, J. Duennweber and S. Gorlatch
Towards a Middleware Framework for Dynamically Reconfigurable Scientific Computing, K. El Maghraoui, T. Desell, B. K. Szymanski, J. D. Teresco, and C. A. Varela.

PART 3 APPLICATIONS
Messaging in Web Service Grid with Applications to Geographical Information Systems, G. Fox, S. Pallickara, G. Aydin and M. Pierce
NewsGrid, S. Geisler, G. R. Joubert
UNICORE – From Project Results to Production Grids,
A. Streit, D. Erwin, Th. Lippert, D. Mallmann, R. Menday, M. Rambadt, M. Riedel, M. Romberg, B. Schuller and Ph. Wieder
Developing Innovative Technologies for the Grid,
J.-P. Prost, L. Berman, R. Chang, M. Devarakonda, M. Haynos, W.-S. Li, Y. Li, I. Narang, J. Unger and D. Verma
Tools for Efficient Subsetting and Pipelined Processing of Large Scale, Distributed Biomedical Image Data, M. Ribeiro, T. Kurc,Tony Pan, K. Huang, U. Catalyurek, X. Zhang, S. Langella, S. Hastings, S. Oster, R. Ferreira and J. Saltz.
 
 
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