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



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”.



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Correspondence to Hongyi Chen.

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Chen, H., Sun, Z., Yi, F. et al. BufferBank storage: an economic, scalable and universally usable in-network storage model for streaming data applications. Sci. China Inf. Sci. 59, 1–15 (2016). https://doi.org/10.1007/s11432-015-5299-5

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  • in-network storage
  • P2P Cache
  • streaming media
  • distributed resources management
  • 012103


  • P2P Cache
  • 流媒体
  • 分布式资源管理
  • 系统可靠性
  • 网内存储