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SCIENCE CHINA Information Sciences, Volume 59, Issue 1: 012103(2016) https://doi.org/10.1007/s11432-015-5299-5

BufferBank storage: an economic, scalable and universally usable in-network storage model for streaming data applications

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  • ReceivedOct 17, 2014
  • AcceptedJan 29, 2015
  • PublishedJul 16, 2015

Abstract

large-scale streaming media distribution services impart unprecedented pressures and challenges to existing Internet architecture. Researchers have proposed CDN, P2P Cache, ICN and other solutions to alleviate the pressure of the core network, as well as improve the user experience (QoE). All these solutions achieve their goals by deploying storage resources close to the end users to cache the hot data. Based on the advantages of P2P service, which takes into account end-users resources, we proposed the {BufferBank Storage} (BBS). It is a new streaming media distribution-oriented storage model by aggregating end-users resources. This provides a novel approach for implementation of economic, scalable, dynamically deploy streaming media distribution applications. However, the dynamic character of the end-user behavior brings challenges to BBS designation. in our previous work, we have analyzed the basic principle of BBS and its feasibility. There is lack of substantial research on resources management and reliability assessment, which are the core issue of BBS implementation. After carefully analyzing the reliability and security issue in BBS deployment, this paper has proposed the implementation model of BBS and studied the performance of different buffer allocation mechanism through simulation. Our work mainly provides a new way of thinking for the dynamic, universal scalable storage system in the Internet, that suffers ``weak reliability".


Funded by

"source" : null , "contract" : "2012CB3159-06"

National High-tech R&D Program of China(863 Program)

"source" : null , "contract" : "2011AA01A10"

program for New Century Excellent Talents in University(4345113151)

national Basic Research Program of China(973 Program)

"source" : null , "contract" : "2012AA01A50606"}]


Acknowledgment

Acknowledgments

This work was supported by national Basic Research Program of China (973 Program) (Grant No. 2012CB3159-06), program for New Century Excellent Talents in University (Grant No. 4345113151) and National High-tech R&D Program of China (863 Program) (Grant Nos. 2011AA01A10, 2012AA01A50606).


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