Scalable Hybrid Data Dissemination for Inetrnet Hot Spots

Wenhui Zhang

ISBN 10: 3836485885 ISBN 13: 9783836485883

Editorial: VDM Verlag Dr. Müller, 2008

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo

Scalable Hybrid Data Dissemination for Inetrnet Hot Spots

Editor

VDM Verlag Dr. M�ller

Fecha de publicaci�n

2008

Idioma

Ingl�s

ISBN 10

3836485885

ISBN 13

9783836485883

Encuadernaci�n

Taschenbuch

Estado

Neu

Cat�logos de vendedores

B�cher

Acerca de

Sinopsis

Server scalability can be greatly enhanced with hybrid data dissemination that combines multicast and unicast techniques. Multicast is ideal for popular data. It aggregates multiple unicast data transfers into a single transmission and is thus more scalable than unicast. On the other hand, multicast is inappropriate for unpopular data since it would force unwanted contents on most clients. As a result, hybrid data dissemination would ideally achieve scalable utilization of server and network resources while avoiding the reception of unneeded contents.In this work, we first present a deployment framework for hybrid data delivery in the Internet. Then, we study a fundamental problem in hybrid data dissemination: document selection, which determines the transfer method that is most appropriate for each data item. We individuate special challenges, such as scalable and robust popularity estimation, appropriate classification of documents, and unpopular large documents. In addition, we examine other critical issues including multicast performance evaluation and application level multicast protocols. Our work contributes to building practical hybrid data dissemination network services.

Acerca del autor

I was born in Hangzhou, Zhejiang Province, China. I lived in this beautiful city for more than 20 years until I left for my doctoral study in USA. I received a PhD degree in Computer Science from Case Western Reserve University, Cleveland, OH, USA, in 2007. I also have BS and MS degrees in Computer Science from Zhejiang University, China.

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