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Towards optimal resource allocation for differentiated multimedia services in cloud computing environment

机译:在云计算环境中为差异化多媒体服务实现最佳资源分配

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Cloud-based multimedia services have been widely used in recent years. As the growing scale, users often have quite diverse quality of service (QoS) expectations. A key challenge for differentiated services is how to optimally allocate cloud resources to satisfy different users. In this paper, we study resource allocation problems for differentiated multimedia services. We first propose a queueing model to characterize differentiated services in cloud. Based on the model, we optimize cloud resources in the first-come first-served (FCFS) scenario and priority scenario. In each scenario, we formulate and solve the optimal resource allocation problem to minimize resource cost under response time constraints. We conduct extensive simulations with practical parameters of Amazon EC2. Simulation results demonstrate that the proposed resource allocation schemes can optimally configure resources to provide satisfactory services at the minimal resource cost.
机译:近年来,基于云的多媒体服务已被广泛使用。作为越来越大的规模,用户通常具有相当多样化的服务质量(QoS)期望。差异化服务的关键挑战是如何最佳地分配云资源来满足不同的用户。在本文中,我们研究了差异化多媒体服务的资源分配问题。我们首先提出了一个排队模型,以表征云中的差异化服务。基于该模型,我们在第一送达(FCFS)场景和优先级方案中优化云资源。在每个场景中,我们制定并解决最佳资源分配问题,以最小化响应时间约束下的资源成本。我们通过亚马逊EC2的实用参数进行广泛的模拟。仿真结果表明,所提出的资源分配方案可以最佳地配置资源以以最小资源成本提供令人满意的服务。

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