首页> 外文会议>International Conference on Computational Science and Its Applications(ICCSA 2006) pt.4; 20060508-11; Glasgow(GB) >Load Distribution Strategies in Cluster-Based Transcoding Servers for Mobile Clients
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Load Distribution Strategies in Cluster-Based Transcoding Servers for Mobile Clients

机译:基于群集的移动客户端代码转换服务器中的负载分配策略

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The recent advance in wireless network technologies has enabled the streaming media service on the mobile devices such as PDAs and cellular phones. Since the wireless network has low bandwidth channels and mobile devices are actually composed of limited hardware specifications, the transcoding technology is needed to adapt streaming media to the given mobile devices. When large scale mobile clients demand the streaming service, load distribution strategies among transcoding servers highly impact on the total number of QoS streams. In this paper, the resource weighted load distribution strategy is proposed for the fair load balancing and the more scalable performance in cluster-based transcoding servers. Our proposed strategy is based on the weight of resources consumed for transcoding to classified client grades and the maximum number of QoS streams actually measured in transcoding servers. The proposed policy is implemented on cluster-based transcoding system. In experiments, we evaluate its fair load distribution and scalable performance according to the increase of transcoding servers.
机译:无线网络技术的最新发展已使PDA和蜂窝电话等移动设备上的流媒体服务成为可能。由于无线网络具有低带宽信道,并且移动设备实际上由有限的硬件规格组成,因此需要代码转换技术以使流媒体适应给定的移动设备。当大型移动客户端需要流服务时,代码转换服务器之间的负载分配策略会严重影响QoS流的总数。本文提出了一种资源加权的负载分配策略,以实现公平的负载平衡和基于集群的代码转换服务器中更具可扩展性的性能。我们提出的策略基于将代码转换为分类的客户等级所消耗的资源权重以及在代码转换服务器中实际测量的QoS流的最大数量。所提出的策略是在基于集群的代码转换系统上实现的。在实验中,我们根据转码服务器的增加来评估其合理的负载分配和可扩展的性能。

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