论文标题
基于联盟游戏的方法，用于改善多服务器方案中基于DASH的流媒体的QoE
Coalition Game-based Approach for Improving the QoE of DASH-based Streaming in Multi-servers Scheme
论文作者
论文摘要
通过HTTP（DASH）上的动态自适应流媒体正在成为大规模有效视频流量传递的Defatso方法。底漆的成功因子返回到流媒体客户端提供的全部自主权，从而使它们更加聪明，并在基于拉动的paradigm之后，在Granular Video块上实现了视频质量质量决策的分散逻辑。但是，客户的纯粹自主权固有地导致了一个整体自私的环境，在这种环境中，每个客户都独立努力提高其体验质量（QOE）。因此，由于他们的感知范围有限，客户将互相伤害，包括自己，包括自己。可以通过采用具有全球视图的机制来解决这一缺点，因此可以有效地管理可用资源。在本文中，我们提出了一种基于游戏理论的方法来解决客户在多个服务器设置中的自私设置，而无需影响其自动性的，而无需影响其自动性。特别是，我们采用联盟游戏框架来影响客户到最佳服务器，最终使客户的总体平均质量最大化，同时又可以防止重新缓冲。我们通过广泛的实验验证解决方案，并展示拟议解决方案的有效性。
Dynamic Adaptive Streaming over HTTP(DASH) is becoming the defacto method for effective video traffic delivery at large scale.Its primer success factor returns to the full autonomy given to the streaming clients making them smarter and enabling decentralized logic of video quality decision at granular video chunks following a pull-based paradigm. However,the pure autonomy of the clients inherently results in an overall selfish environment where each client independently strives to improve its Quality of Experience (QoE). Consequently,the clients will hurt each other,including themselves,due to their limited scope of perception.This shortcoming could be addressed by employing a mechanism that has a global view,hence could efficiently manage the available resources.In this paper,we propose a game theoretical-based approach to address the issue of the client's selfishness in multi-server setup,without affecting its autonomy. Particularly,we employ the coalitional game framework to affect the clients to the best server,ultimately to maximize the overall average quality of the clients while preventing re-buffering.We validate our solution through extensive experiments and showcase the effectiveness of the proposed solution.
