Multimedia Content Distribution Using Peer-to-Peer Overlay Networks | The Design and Analysis of the Next Generation Peer-to-Peer Networks

Simon G. M. Koo

ISBN 10: 3639114833 / ISBN 13: 9783639114836

Published by VDM Verlag Dr. Müller, 2008

About this Item

Multimedia Content Distribution Using Peer-to-Peer Overlay Networks | The Design and Analysis of the Next Generation Peer-to-Peer Networks | Simon G. M. Koo | Taschenbuch | Kartoniert / Broschiert | Englisch | 2008 | VDM Verlag Dr. Müller | EAN 9783639114836 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 101682050

Bibliographic Details

• Title: Multimedia Content Distribution Using Peer-to-Peer Overlay Networks | The Design and Analysis of the Next Generation Peer-to-Peer Networks
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2008
• Language: English
• ISBN 10: 3639114833
• ISBN 13: 9783639114836
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 5W x 150H x 220D millimeters 5 millimeters width by 150 millimeters height by 220 millimeters depth
• Weight: 135 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The design focus on Peer-to-Peer (P2P) networks had been on low-complexity content mapping and efficient search mechanisms, and many of the existing P2P applications provide an efficient substrate for sharing small files like MP3 or images because searching efficiency is essential to the overall performance. For bulk contents like multimedia documents or scientific data sets, however, the data transfer efficiency becomes critical to the overall distribution efficiency. This work explores the use of P2P overlays on distributing bulk contents, and the goal is to improve the distribution efficiency and make P2P overlay a cost-effective alternative to Content Distribution Networks (CDNs). This work addressed two major challenges when designing p2p protocols: neighbor selection and incentive provision. The proposed protocol is light-weight, completely decentralized, and cheat-proof. Experimental results illustrate significant improvements on the distribution efficiency of our protocol over other adopted alternatives.

About the Author

Simon G. M. Koo is currently an Assistant Professor of Mathematics and Computer Science at the University of San Diego. He received his B.Eng. in Information Engineering from CUHK, M.S.E.E. from Polytechnic University, M.S. in Operations Research from Columbia University, and Ph.D. in Electrical and Computer Engineering from Purdue University.