Fairness-aware cooperative caching scheme for Mobile Social Networks

Dongsheng Wei, Konglin Zhu, Xin Wang
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引用次数: 15

Abstract

Data access is an important and challenging issue in Mobile Social Networks (MSNs), and cooperative caching is an effective technique to improve the access performance. Most of current research efforts in data access of MSNs focus on improving the access performance while neglecting the fair treatment of users. Because fairness is considered as a major incentive for peer-to-peer service especially in infrastructure-less wireless networks, in this paper we propose a novel approach to support fairness aware cooperative caching scheme in MSNs. Through capturing close friend set of each node, we cache data prior at nodes which are overlapped by most nodes' close friend sets. Then we derive the optimal cooperative scheme by using the minimum dominating set, which is an NP-Complete problem, and we design a heuristic algorithm to handle it. Experimental results show that our scheme can effectively improve data access fairness as well as maintain nearly the same access performance compared to existing cooperative caching schemes.
面向移动社交网络的公平感知协同缓存方案
数据访问是移动社交网络(msn)中一个重要且具有挑战性的问题,而协同缓存是提高访问性能的一种有效技术。目前对微信网络数据访问的研究大多侧重于提高访问性能,而忽略了对用户的公平对待。由于公平性被认为是点对点服务的主要激励因素,特别是在无基础设施的无线网络中,本文提出了一种新的方法来支持msn中感知公平性的协作缓存方案。通过捕获每个节点的亲密朋友集,在大多数节点的亲密朋友集重叠的节点上优先缓存数据。然后利用最小支配集推导出最优合作方案,这是一个np完全问题,我们设计了一个启发式算法来处理它。实验结果表明,该方案可以有效提高数据访问公平性,并保持与现有协作缓存方案基本相同的访问性能。
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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