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Resource Allocation for Virtual Service Based on Heterogeneous Shared Hosting Platforms

机译:基于异构共享主机平台的虚拟服务资源分配

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Nowadays, one of the issues in cloud computing is resource optimizing for virtual services to enhance IaaS service performance and meet the requirements of resource exploitation effectively. In this paper, we seek the approach of multi-dimensional resource allocation based on heterogeneous shared hosting platforms for virtual services. We construct the problem as an optimized formulation that uses a linear programming to minimize the number of physical machines. The solution for this formulation is applying the Greedy algorithms to solve and evaluate via emulation-based program.
机译:如今,云计算中的问题之一是虚拟服务的资源优化,以增强IaaS服务性能并有效满足资源开发的需求。在本文中,我们寻求基于异构共享虚拟服务平台的多维资源分配方法。我们将问题构造为一种优化的公式,该公式使用线性编程来最大程度地减少物理机的数量。此公式的解决方案是应用Greedy算法通过基于仿真的程序进行求解和评估。

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