Collaborative content dissemination based on game theory in multimedia cloud
Collaborative content dissemination based on game theory in multimedia cloud
复制标题
多媒体云中基于博弈论的协同内容传播
DOI：
10.1016/j.knosys.2017.02.026
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发表时间：
2017
影响因子：
8.8
通讯作者：
Zhou Mina
中科院分区：
文献类型：
--
作者：
Li Chunlin;Liu Yanpei;Luo Youlong;Zhou Mina
随着多媒体云应用和宽带技术的发展，多点视频会议、重大新闻事件直播、网络点播电视、网络视频监控等多媒体群组通信应用不断涌现。然而，有限的网络带宽、突发的服务请求以及内容传播的不平衡似乎是影响用户体验的最重要因素。为此，本文提出一种基于博弈论的多媒体云协同内容传播方法。为了获得每组中最优的服务用户数量，计算每个用户的综合效用值，并采用改进的粒子群优化算法。此外，将服务用户与非服务用户之间的匹配问题表述为博弈论。为了避免非服务用户选择服务用户的盲目性和自私性，进化博弈旨在通过学习非服务用户的连接来实现稳定性。 Stackelberg博弈旨在获得服务用户的最优定价策略和带宽分配。大量实验结果表明，该方法能够有效改善系统能力较弱的用户的体验，减少内容传播的平均时间，降低多媒体云用户的总成本。
With the development of multimedia clouding applications and broadband technology, multimedia group communication applications, such as multi-point video conference, major news and events live, internet-on-demand TV, network video monitoring and so on, continue to emerge. However, limited network bandwidth, burst of incoming service requests, and imbalance of content dissemination seem to be the most important factors that affect users’ experience. To this end, this paper proposes a collaborative content dissemination method based on game theory in multimedia cloud. In order to obtain the optimal number of service user in each group, integrated utility value of each user is calculated, and the improved particle swarm optimization algorithm is used. Moreover, the matching problem between service users and non-service users is formulated into game theory. In order to avoid the blindness and selfishness of non-service users to choose the service users, an evolutionary game is aimed at achieving the stability by learning the connection from the non-service users. A Stackelberg game is aimed at obtaining optimal pricing policy and bandwidth allocation of service users. The numerous experiment results show that the proposed method can effectively improve users’ experience of those who have weak system capabilities, reduce the average time of the content dissemination and decrease the total cost of the multimedia cloud user.