Public Cloud Storage-Assisted Mobile Social Video Sharing: A Supermodular Game Approach

IF 13.8 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Han Hu, Yonggang Wen, D. Niyato
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引用次数: 34

Abstract

Mobile social video sharing enables mobile users to create ultra-short video clips and instantly share them with social friends, which poses significant pressure to the content distribution infrastructure. In this paper, we propose a public cloud-assisted architecture to tackle this problem. In particular, by motivating mobile users to upload videos to the local public cloud to serve requests, and, therefore, having a permission to access friends’ videos stored in the cloud, our method can alleviate the traffic burden to the social service providers, while reducing the service latency of mobile users. First, we present a general framework to model the information diffusion and utility function of each user on the proposed architecture, and formulate the problem as a decentralized social utility maximization game. Second, we show that this problem is a supermodular game and there exists at least one socially aware Nash equilibrium (SNE). We then develop two decentralized algorithms to solve this problem. The first algorithm can find an SNE with less computation complexity, and the second algorithm can find the Pareto-optimal SNE with better performance. Finally, through extensive experiments, we demonstrate that the overall system performance can be significantly improved by exploiting the selflessness among social friends.
公共云存储辅助移动社交视频共享:一种超模块化的游戏方法
移动社交视频共享使移动用户能够创建超短视频片段,并立即与社交朋友分享,这对内容分发基础设施构成了巨大压力。在本文中,我们提出了一个公共云辅助架构来解决这个问题。特别是,通过激励移动用户将视频上传到本地公共云以提供请求,并因此获得访问存储在云中的朋友视频的权限,我们的方法可以减轻社交服务提供商的流量负担,同时降低移动用户的服务延迟。首先,我们提出了一个通用框架,在所提出的架构上对每个用户的信息扩散和效用函数进行建模,并将问题公式化为去中心化的社会效用最大化游戏。其次,我们证明了这个问题是一个超级模型博弈,并且至少存在一个社会意识纳什均衡(SNE)。然后,我们开发了两种去中心化算法来解决这个问题。第一种算法可以找到计算复杂度较低的SNE,第二种算法可以发现性能较好的Pareto最优SNE。最后,通过大量的实验,我们证明了利用社交朋友之间的无私精神可以显著提高系统的整体性能。
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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来源期刊
CiteScore
30.00
自引率
4.30%
发文量
234
审稿时长
6 months
期刊介绍: The IEEE Journal on Selected Areas in Communications (JSAC) is a prestigious journal that covers various topics related to Computer Networks and Communications (Q1) as well as Electrical and Electronic Engineering (Q1). Each issue of JSAC is dedicated to a specific technical topic, providing readers with an up-to-date collection of papers in that area. The journal is highly regarded within the research community and serves as a valuable reference. The topics covered by JSAC issues span the entire field of communications and networking, with recent issue themes including Network Coding for Wireless Communication Networks, Wireless and Pervasive Communications for Healthcare, Network Infrastructure Configuration, Broadband Access Networks: Architectures and Protocols, Body Area Networking: Technology and Applications, Underwater Wireless Communication Networks, Game Theory in Communication Systems, and Exploiting Limited Feedback in Tomorrow’s Communication Networks.
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