Improving Search Performance in Unstructured P2P Networks

Sabu M Thampi

ISBN 10: 3838390660 / ISBN 13: 9783838390666

Published by LAP LAMBERT Academic Publishing Aug 2010, 2010

About this Item

Neuware -This book proposes a search technique and a replication scheme for unstructured P2P networks. The proposed search scheme - ¿distributed search technique (DST) is formulated with the aim of achieving effective query load balancing, high hit ratio, low network traffic and adaptive behavior for unstructured P2P networks. DST effectively alleviates the partial coverage problem and the majority of nodes, excluding free-riders, are covered during searching. The duplicate messages are effectively routed. Specialized peers are given importance while routing. The proposed replication scheme known as 'Q-replication' employs Q-learning for the autonomous replication of objects. The Q-replication effectively distributes the popular objects and thereby contributes to the improvement of success rate and fault tolerance without depending on search paths.Books on Demand GmbH, Überseering 33, 22297 Hamburg 160 pp. Englisch.

Seller Inventory # 9783838390666

Bibliographic Details

• Title: Improving Search Performance in Unstructured P2P Networks
• Publisher: LAP LAMBERT Academic Publishing Aug 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 3838390660
• ISBN 13: 9783838390666
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This book proposes a search technique and a replication scheme for unstructured P2P networks. The proposed search scheme - ?distributed search technique (DST) is formulated with the aim of achieving effective query load balancing, high hit ratio, low network traffic and adaptive behavior for unstructured P2P networks. DST effectively alleviates the partial coverage problem and the majority of nodes, excluding free-riders, are covered during searching. The duplicate messages are effectively routed. Specialized peers are given importance while routing. The proposed replication scheme known as "Q-replication" employs Q-learning for the autonomous replication of objects. The Q-replication effectively distributes the popular objects and thereby contributes to the improvement of success rate and fault tolerance without depending on search paths.

About the Author

Dr. Sabu M. Thampi is a Professor in the Department of Computer Science and Engineering, Rajagiri School of Engineering and Technology, Kerala, India. He has completed PhD degree in Computer Engineering from National Institute of Technology Karnataka, India.