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Load splitting in clusters of video servers

机译:视频服务器群集中的负载分配

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摘要

Nowadays, video on demand is one of the services more highly appreciated and demanded by customers. As the number of users increases, the capacity of the system that provides these services must also be increased to guarantee the required quality of service. An approach to that end is to have available several video servers at various distribution points in order to satisfy the different incoming demands (video server cluster). When a movie demand arrives to such a cluster, a load balancing device must assign the request to a specific server according to a procedure that must be fast, easy to implement and scalable. In this article we consider the problem of appropriately splitting this load to improve on the system performance. After an analysis of the video packet generation, we point out the similarity between this problem and that of optimally routing packets in data networks. With this similarity in mind, a new mechanism to select the appropriate video server is proposed. The purpose of this mechanism is to minimize the average packet transfer time (waiting time plus transmission time) at the video server cluster. In this way, we are able to obtain a dynamic load balancing policy that performs satisfactorily and that is very easy to implement in practice. The results of several experiments run with real data are shown and commented to substantiate our claims. A description of a practical implementation of the system is also included.
机译:如今,视频点播已成为客户越来越赞赏和要求的服务之一。随着用户数量的增加,提供这些服务的系统的容量也必须增加,以保证所需的服务质量。为此目的,一种方法是在各个分发点提供几个视频服务器,以满足不同的传入需求(视频服务器群集)。当电影需求到达这样的集群时,负载平衡设备必须根据必须快速,易于实现和可伸缩的过程将请求分配给特定服务器。在本文中,我们考虑适当分配此负载以提高系统性能的问题。在分析了视频数据包的生成之后,我们指出了该问题与数据网络中最佳路由数据包之间的相似之处。考虑到这种相似性,提出了一种选择合适的视频服务器的新机制。该机制的目的是使视频服务器群集处的平均数据包传输时间(等待时间加传输时间)最小化。这样,我们可以获得性能令人满意的动态负载平衡策略,并且在实践中非常容易实现。显示并评论了一些使用真实数据进行的实验的结果,以证实我们的主张。还包括该系统的实际实现的描述。

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