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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
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Produktbeschreibung
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.
Autorenporträt
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.