CDNs中基于反馈控制的资源分配控制器设计

Resource Allocation Controller Design Based on Feedback Control in Content Delivery Networks

摘要:

当前的内容分发网络配置策略既无法应付不可预知的突发访问事件,又会导致网络利用率较低,浪费大量资源；云计算可以针对用户需求配置资源,并且为服务采取即收即付定价策略；基于云技术的自适应视频流分发网络提出一种控制机制,同时采取反馈控制技术,设计了一种动态资源分配控制器,通过调节云技术CDN网络中的虚拟机数量,在向用户提供最高质量的视频服务的同时,实现传输成本最小化；实验结果表明,相对静态控制器、前馈控制器和“有RAC无SP”控制器,控制器的分发成本分别下降33%、28%、10%。

Abstract:

The existing deploying strategy in CDNs may either not be able to handle unpredictable flash crowd scenarios, or lead to underutilization of the network with a consequent waste of resources and revenues. Cloud computing offers a way to match the users demand by scaling the allocated resources and by billing the service with a pay-as-you-go pricing. In this paper, we focus on the design of a control plane for cloud-based adaptive video streaming delivery networks. By employing feedback control techniques, we design a dynamical Resource Allocation Controller which throttles the number of virtual machines in a Cloud-based CDN with the goal of minimizing the distribution costs while providing the highest video quality to the user. Results indicate that the proposed controller is able to save 33%, 28%, and 10% of the distribution costs to the static controller, the feed forward controller, and the “RAC no SP” respectively.