Peer-to-Peer Computing : Building Supercomputers with Web Technologies

Alfred Wai-Sing Loo

ISBN 10: 1846283817 / ISBN 13: 9781846283819

Published by Springer London, Springer London, 2006

About this Item

Druck auf Anfrage Neuware - Printed after ordering - The Client/Server architecture for computing systems was first proposed in the late 1980s as an alternative to conventional mainframes. Processing in the mainframe quickly becomes a bottleneck in any system. Client/server models shift the processing burden to the client computer. Through workload sharing, client/server systems can improve efficiency while reducing costs. Companies are again searching for ways to improve their processing power without further investment in new hardware and software. Many client computers are idle most of the time, and have unused disk space. The next logical step is to maximise the use of these computers. The peer-to-peer (P2P) model is the answer. A new and simple peer-to-peer model will be introduced in this book, which will teach readers to install peer-to-peer systems in which users can share their computing power. The target readers are those who have basic Java knowledge and are interested in building (or testing the performance of) peer-to-peer systems.

Seller Inventory # 9781846283819

Bibliographic Details

• Title: Peer-to-Peer Computing : Building Supercomputers with Web Technologies
• Publisher: Springer London, Springer London
• Publication Date: 2006
• Language: English
• ISBN 10: 1846283817
• ISBN 13: 9781846283819
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

An organisation usually has many microcomputers and workstations, which may be connected by a local network. However, many of these microcomputers and workstations are not used at all after office hours. Even when they are used, most of them are doing word processing, web browsing, etc., which take up less than 5% of the CPU power. By incorporating methods presented in this book, a peer-to-peer system can be built quickly. The CPU power of all computers can be shared by users who need more CPU power. Such a system may exceed the performance of supercomputers in some applications.

About the Author

The author is a lecturer at Lingnan University in Hong Kong and also has the following accreditations.

BSc, MSc, PhD.

Chartered Engineer, United Kingdom.

Chartered Mathematician, United Kingdom.

Chartered Information Technology Professional, United Kingdom.

 

He has been a member of the Scientific Committee of the International Conference on Distributed Computing and Applications to Business, Engineering and Science in 2001, 2002 and 2004. They are planning to hold the next conference in London in late 2005 or early 2006.