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Joint optimization of routing and VM resource allocation for multimedia cloud

机译:多媒体云的路由和VM资源分配的联合优化

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With the development of cloud computing, cloud data centers provide powerful platforms for multimedia services. Still, QoS routing and resource allocation are two main challenges to optimize the multimedia services. The QoS routing affects the transmission time, while the resource allocation determines the resource utilization in cloud. In this paper, we introduce a cloud network model. Based on the model, we analyze the transmission delay among data centers, and propose a QoS-SPA routing algorithm. Furthermore, we study the optimal VM allocation problem with the objective to minimize the resource cost subject to the network transmission delay among data centers. As the optimization problem is NP-hard, we propose an efficient heuristic, price-performance ratio-based heuristic algorithm (PPR-HA), to achieve a sub-optimal solution. The extensive experimental results demonstrate that joint optimization of routing and VM with QoS-SPA and PPR-HA can effectively reduce the transmission delay among data centers and improve the resource utilization in cloud.
机译:随着云计算的发展,云数据中心提供了强大的多媒体服务平台。 QoS路由和资源分配仍然是优化多媒体服务的两个主要挑战。 QoS路由会影响传输时间,而资源分配则决定了云中的资源利用率。在本文中,我们介绍了云网络模型。基于该模型,我们分析了数据中心之间的传输延迟,并提出了QoS-SPA路由算法。此外,我们研究了最佳的虚拟机分配问题,其目的是使数据中心之间的网络传输延迟最大程度地降低资源成本。由于优化问题是NP难题,因此我们提出了一种高效的启发式,基于性价比的启发式算法(PPR-HA),以实现次优解决方案。大量的实验结果表明,通过QoS-SPA和PPR-HA对路由和VM进行联合优化可以有效减少数据中心之间的传输延迟,并提高云中的资源利用率。

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