The smart distribution of social media contents

T. Banditwattanawong, Masawee Masdisornchote, P. Uthayopas
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引用次数: 3

Abstract

Today's data such as social media contents and archive of digital contents gathered via ubiquitous devices have been hosted on cloud and being shared in a distribution manner. This causes network link congestions, delayed cloud services and increases in public cloud data-out charges. Simulations have demonstrated that deploying our approach, i-Cloud, as the core mechanism of cloud cache could alleviate these problems up to 17.24% byte-hit and cost-saving, 17.96% delay-saving and 29.33% cache hit outperforming the other well-known approaches. A main finding was that there is no significant performance difference between i-Cloud learning single-user-community patterns and i-Cloud learning cross-user-community patterns of comparable sizes.
社交媒体内容的智能分发
今天的数据,如社交媒体内容和通过无处不在的设备收集的数字内容存档,已经托管在云上,并以分发方式共享。这将导致网络链路拥塞、云服务延迟以及公共云数据流出费用的增加。仿真结果表明,采用i-Cloud作为云缓存的核心机制可以缓解这些问题,比其他已知的方法节省17.24%的字节命中和成本,节省17.96%的延迟和29.33%的缓存命中。一个主要的发现是,i-Cloud学习单一用户社区模式和i-Cloud学习跨用户社区模式之间没有显著的性能差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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