GRID AND CLUSTER COMPUTING
Grid Computing and Cluster Computing are advanced topics and latest trends in computer science that find a place in the computer science and information technology curricula of many engineering institutes and universities today. Divided into two parts— Part I, Grid Computing. Part II, Cluster Computing—, this compact and concise text strives to make the concepts of grid computing and cluster computing comprehensible to the students through its fine presentation and accessible style. Part I of the book enables the student not only to understand the concepts involved in grid computing but also to build their own grids for specific applications.Similarly, as today supercomputers are being built using cluster computing architectures, Part II provides an insight into the basic principles involved in cluster computing and equips the readers with the knowledge to build their own clusters in-house. Diagrams are used to illustrate the concepts discussed and to enable the reader to actually construct a grid or a cluster himself. The book is intended as a text for undergraduate and postgraduate students of computer science and engineering, information technology (B.Tech./M.Tech. Computer Science and Engineering/IT), and post-graduate students of computer science/information technology (M.Sc. Computer Science and M.Sc. IT). Besides, practising engineers and computer science professionals should find the text very useful.
1119335862
GRID AND CLUSTER COMPUTING
Grid Computing and Cluster Computing are advanced topics and latest trends in computer science that find a place in the computer science and information technology curricula of many engineering institutes and universities today. Divided into two parts— Part I, Grid Computing. Part II, Cluster Computing—, this compact and concise text strives to make the concepts of grid computing and cluster computing comprehensible to the students through its fine presentation and accessible style. Part I of the book enables the student not only to understand the concepts involved in grid computing but also to build their own grids for specific applications.Similarly, as today supercomputers are being built using cluster computing architectures, Part II provides an insight into the basic principles involved in cluster computing and equips the readers with the knowledge to build their own clusters in-house. Diagrams are used to illustrate the concepts discussed and to enable the reader to actually construct a grid or a cluster himself. The book is intended as a text for undergraduate and postgraduate students of computer science and engineering, information technology (B.Tech./M.Tech. Computer Science and Engineering/IT), and post-graduate students of computer science/information technology (M.Sc. Computer Science and M.Sc. IT). Besides, practising engineers and computer science professionals should find the text very useful.
4.47 In Stock
GRID AND CLUSTER COMPUTING

GRID AND CLUSTER COMPUTING

by C. S. R. PRABHU
GRID AND CLUSTER COMPUTING

GRID AND CLUSTER COMPUTING

by C. S. R. PRABHU

eBook

$4.47 

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Overview

Grid Computing and Cluster Computing are advanced topics and latest trends in computer science that find a place in the computer science and information technology curricula of many engineering institutes and universities today. Divided into two parts— Part I, Grid Computing. Part II, Cluster Computing—, this compact and concise text strives to make the concepts of grid computing and cluster computing comprehensible to the students through its fine presentation and accessible style. Part I of the book enables the student not only to understand the concepts involved in grid computing but also to build their own grids for specific applications.Similarly, as today supercomputers are being built using cluster computing architectures, Part II provides an insight into the basic principles involved in cluster computing and equips the readers with the knowledge to build their own clusters in-house. Diagrams are used to illustrate the concepts discussed and to enable the reader to actually construct a grid or a cluster himself. The book is intended as a text for undergraduate and postgraduate students of computer science and engineering, information technology (B.Tech./M.Tech. Computer Science and Engineering/IT), and post-graduate students of computer science/information technology (M.Sc. Computer Science and M.Sc. IT). Besides, practising engineers and computer science professionals should find the text very useful.

Product Details

ISBN-13: 9788120334281
Publisher: PHI Learning
Publication date: 02/14/2008
Sold by: Barnes & Noble
Format: eBook
File size: 2 MB

About the Author

<STRONG>C.S.R. PRABHU</STRONG> (MTech, IIT Bombay), is Deputy Director General and State Informatics Officer, National Informatics Centre (NIC), Andhra Pradesh State Unit, Hyderabad. Prior to joining NIC, he worked in various capacities at Tata Consultancy Services (TCS), CMC, and TELCO (now Tata Motors). During his association with University of Central Florida, Mr. Prabhu served NASA at Cape Canaveral. He has also been a consultant to Hughes Aircraft Corporation, Irvine, California and Florida Savings and Loans, Orlando, Florida.

At NIC, he worked on e-governance projects for about 18 years in various capacities, both at Central and State levels. He was instrumental in developing many e-governance applications and information system for the Central Government, state governments, district administration, and taluka and village level e-governance projects (whose case studies are presented in this book).&nbsp;</P>

Table of Contents

Preface. Part I: GRID COMPUTING—1. Introduction. 2. Technologies and Architectures for Grid Computing. 3. World Wide Grid Computing Activities, Organizations and Projects. 4. Web Services and the Service Oriented Architecture (SOA). 5. OGSA and WSRF. 6. Globus Toolkit. 7. The Grid and the Databases. Part II: CLUSTER COMPUTING—8. What is Cluster Computing? 9. Cluster Middleware: An Introduction. 10. Early Cluster Architectures and High Throughput Computing Clusters. 11. Networking, Protocols and I/O for Clusters. 12. Setting Up and Administering a Cluster. 13. Cluster Technology for High Availability. 14. Performance Models and Simulation. 15. Process Scheduling. 16. Load Sharing and Load Balancing. 17. Distributed Shared Memory. 18. Case Studies of Cluster Systems: Beowulf, COMPaS, NanOS and PARAM. Index.
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