Optimal Replica Distribution in Edge-Node-Assisted Cloud-P2P Platforms for Real-Time Streaming
Optimal Replica Distribution in Edge-Node-Assisted Cloud-P2P Platforms for Real-Time Streaming
复制标题
边缘节点辅助云 P2P 平台中实时流的最佳副本分布
DOI：
10.1109/tvt.2018.2839725
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发表时间：
2018-05
影响因子：
6.8
通讯作者：
Hara Takahiro
中科院分区：
文献类型：
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作者：
Zhao Wei;Liu Jiajia;Hara Takahiro
近年来，由于P2P实时流媒体平台为平台设计者提供了快速、方便的存储服务，在云存储系统中出现了大量的P2P实时流媒体平台部署。请注意，为平台提供实时流媒体服务是昂贵的，因为从平台到最终用户的带宽消耗很大。为了科普上述问题，我们的想法是利用志愿者，即边缘或雾节点的上传带宽，形成一个边缘节点辅助的实时流媒体P2P平台。具体来说，根据设计的策略，云将块副本分发给可以响应最终用户请求的边缘节点，而公共云仅在边缘节点无法容纳时才补充最终用户的需求。在系统中引入边缘节点的一个重要问题是如何有效地利用它们的资源。然而，主要是由于边缘节点的异构上传能力和不均匀的请求速率为不同的流块，在边缘节点的副本利用率是不同的副本分发策略。同样，公共云中的带宽消耗也会相应变化。因此，本文描述了一个数学模型的建议副本分布和设计一个最佳算法分配块副本。结果验证了该方案的有效性。
In recent years, there have been a number of large-scale deployments of P2P real-time streaming platforms in cloud storage systems due to their fast and convenient storage services for platform designers. Note that providing real-time streaming services for a platform is costly because of heavy bandwidth consumption from the platform to end-users. To cope with the above issue, our idea is to exploit the upload bandwidth of volunteers, namely, edge or fog nodes, to form an edge-node-assisted real-time streaming P2P platform. Specifically, according to designed strategies, the cloud distributes chunk replicas to edge nodes that can respond to end-user requests, and the public cloud supplements end-user demands only when the edge nodes cannot accommodate them. One of the important issues while introducing edge nodes into the system is how to utilize their resources efficiently. However, mainly due to the heterogeneous upload capacity of edge nodes and uneven request rates for different streaming chunks, the replica utilization at the edge nodes is diverse for different replica distribution strategies. Likewise bandwidth consumption in the public cloud varies correspondingly. Thus, this paper describes a mathematical model of the proposed replica distribution and designs an optimal algorithm for distributing chunk replicas. The results validate the effectiveness of the proposal.
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影响因子：
3.8
作者：
Zhi Liu;M. Dong;Bo Gu;Cheng Zhang;Yusheng Ji;Y. Tanaka
通讯作者：
Zhi Liu;M. Dong;Bo Gu;Cheng Zhang;Yusheng Ji;Y. Tanaka
DOI：
10.1109/tnet.2013.2257840
发表时间：
2014-02
期刊：
IEEE/ACM Transactions on Networking
影响因子：
--
作者：
Nazanin Magharei;R. Rejaie;Ivica Rimac;V. Hilt;M. Hofmann
通讯作者：
Nazanin Magharei;R. Rejaie;Ivica Rimac;V. Hilt;M. Hofmann
DOI：
10.1109/p2p.2010.5569961
发表时间：
2010-09
期刊：
2010 IEEE Tenth International Conference on Peer-to-Peer Computing (P2P)
影响因子：
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作者：
Fei Huang;B. Ravindran;Maleq Khan
通讯作者：
Fei Huang;B. Ravindran;Maleq Khan
DOI：
10.1109/tnet.2010.2065237
发表时间：
2011-02
期刊：
IEEE/ACM Transactions on Networking
影响因子：
--
作者：
Yipeng Zhou;D. Chiu;John C.S. Lui
通讯作者：
Yipeng Zhou;D. Chiu;John C.S. Lui
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影响因子：
16.4
作者：
Liu Jiajia;Nishiyama Hiroki;Kato Nei;Guo Jun
通讯作者：
Guo Jun