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Bandwidth- and Latency-Aware Peer-to-Peer Instant Friendcast for Online Social Networks

机译:在线社交网络的带宽和延迟感知点对点即时Friendcast

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Online Social Networks (OSNs) are more and more popular recently, people may through them interact with each other for the purpose of social intercourse. The client/server OSN architecture brings about the bottleneck of bandwidth and computation. It leads to the scalability problem and the communication latency increases as users grows. This paper proposes a bandwidth- and latency-aware peer-to-peer (P2P) instant friend cast scheme for every user (or peer) in OSNs to construct a friend cast tree (FCT) to send instant messages to all of its friends. A lightweight server is responsible for only easy tasks, such as logining and maintaining peer information, to facilitate the tree construction. A peer logins to the server to obtain the list of friends and their Vivaldi coordinates, which are computed by every peer in a distributed way to estimate the latency between peers. The proposed scheme also uses Available Out-Degree Estimation (AODE) to evaluate the proper out-degree of a peer, and then uses Degree-Adapted Greedy Tree Algorithm (DATGA) to construct FCT. The scheme is simulated and compared with other relevant ones to show its advantages.
机译:最近,在线社交网络(OSN)越来越流行,人们可以通过它们彼此进行交互以达到社交目的。客户/服务器OSN体系结构带来了带宽和计算的瓶颈。这就导致了可伸缩性问题,并且通信延迟随着用户的增长而增加。本文针对OSN中的每个用户(或对等方)提出了一种带宽和延迟感知的点对点(P2P)即时对等点投射方案,以构造一个向其所有好友发送即时消息的好友对映树(FCT)。轻量级服务器仅负责简单的任务,例如登录和维护对等信息,以促进树的构建。一个对等方登录到服务器以获取朋友列表及其Vivaldi坐标,这些列表由每个对等方以分布式方式计算,以估计对等方之间的等待时间。所提出的方案还使用可用的度数估计(AODE)来评估对等体的正确度,然后使用度适应的贪婪树算法(DATGA)构造FCT。对方案进行了仿真,并与其他相关方案进行了比较,以显示其优势。

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