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Software-Defined Networking-Assisted Content Delivery at Edge of Mobile Social Networks
IEEE Internet of Things Journal ( IF 10.6 ) Pub Date : 2020-07-16 , DOI: 10.1109/jiot.2020.3009854
Fuliang Li , Yaoguang Lu , Xingwei Wang , Yuanguo Bi , Tian Pan , Yuchao Zhang , Weichao Li , Yi Wang

With the explosive growth of mobile devices at the edge of mobile social networks (MSNs), the amount of the content that needs to be transmitted is exploded. Traditional content delivery mechanisms leverage only local information to make routing decisions, which results in both high latency and low delivery rate. Software-defined networking (SDN) is a novel network paradigm, the design philosophy of which could be applied to MSN for improving the content delivery performance. In this article, the centralized control thought of SDN is introduced into MSN to efficiently process social information. The classical routing algorithm of BubbleRap is improved from the perspective of network density, which is the basis of designing the sparse and dense routing mechanisms for MSNs. In addition, flexibly switching between these two routing mechanisms is implemented by a discriminating scheme, achieving efficient yet adaptive routing. The experimental results show that the delivery ratio of sparse routing is up to 83%, and the dense routing could reach up to 93%.

中文翻译:

移动社交网络边缘的软件定义的网络辅助内容交付

随着移动社交网络(MSN)边缘移动设备的爆炸性增长,需要传输的内容数量激增。传统的内容交付机制仅利用本地信息来做出路由决策,这导致高延迟和低交付率。软件定义网络(SDN)是一种新颖的网络范例,其设计理念可以应用于MSN以改善内容交付性能。本文将SDN的集中控制思想引入到MSN中,以有效地处理社交信息。从网络密度的角度对BubbleRap的经典路由算法进行了改进,这是设计MSN稀疏密集路由机制的基础。此外,这两种路由机制之间的灵活切换是通过区分方案实现的,从而实现了高效而又自适应的路由。实验结果表明,稀疏路由的传递率可达83%,密集路由的传递率可达93%。
更新日期:2020-09-18
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