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Parallel Failure Recovery Techniques in Cluster-based Media Servers

机译:基于群集的媒体服务器中的并行故障恢复技术

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摘要

For large scale VOD service, cluster servers are spotlighted to their high performance and low cost. A cluster server consists of a front end node and multiple backend nodes. Though the increase of backend nodes provides the more QoS streams, the possibility of failures in backend nodes is proportionally increased. The failure causes not only the stop of all streaming services but also the loss of current playing positions. In this paper, when a backend node becomes a failed state, recovery mechanisms are studied to support the unceasing streaming service. Without considering the characteristic of cluster-based servers and MPEG media, the basic RAID techniques causes the performance bottleneck in the internal network and also results in the inefficiency CPU usage of backend nodes. To address these problems, a new failure recovery mechanism is proposed based on the pipeline computing concept. The proposed method distributes the network traffics needed in the process of recovery and utilizes the available CPU computing power of backend nodes. In experiments, it provides the improved performance of cluster-based VOD servers as well as the continuous streaming media service in the failed state of a backend node.
机译:对于大规模的VOD服务,群集服务器以其高性能和低成本着称。群集服务器由一个前端节点和多个后端节点组成。尽管后端节点的增加提供了更多的QoS流,但是后端节点发生故障的可能性也成比例增加。该故障不仅导致所有流服务停止,而且导致当前播放位置丢失。在本文中,当后端节点变为故障状态时,将研究恢复机制以支持不断增长的流服务。如果不考虑基于群集的服务器和MPEG媒体的特性,基本的RAID技术会导致内部网络出现性能瓶颈,并且还会导致后端节点的CPU使用效率低下。针对这些问题,提出了一种基于流水线计算概念的故障恢复机制。所提出的方法分配了恢复过程中所需的网络流量,并利用了后端节点的可用CPU计算能力。在实验中,它提供了基于群集的VOD服务器的改进性能,以及后端节点失败状态下的连续流媒体服务。

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