基于云存储的混合点对点网络中考虑区域流行度的高效数字内容共享

Masashi Tomimori, S. Sugawara
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引用次数: 0

摘要

近年来,人们积极研究了在对等网络上可用的各种内容共享方法。我们提出了一种既使用对等体存储又使用云存储来存储共享内容项目的系统,与传统系统相比,该系统具有更高的内容获取率和更低的网络负载。然而,在研究中,没有考虑到流行的内容项目在国家或地区之间普遍存在差异的情况。因此,本研究提出了考虑不同地区内容受欢迎程度差异的高效内容共享方法,并通过计算机模拟对该方法的有效性进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient digital content sharing considering regional variety of popularities in hybrid peer-to-peer networks with cloud storages
A variety of contents sharing methods that are available on Peer-to-Peer networks have been actively researched these days. We proposed a system using not only the peers' storages but also cloud storages for possessing the shared content items, which achieved higher contents acquisition rate and lower network load than conventional systems. However in the research, the situation where the popular content items are generally different among nations or regions was not considered. Therefore this research proposes the efficient contents sharing method taking into account the difference of contents popularities depending on regions, and in addition, evaluates the efficiency of the proposed method by computer simulations.
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