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Resource Allocation for Virtual Service Based on Heterogeneous Shared Hosting Platforms

机译:基于异构共享托管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,云计算中的一个问题是资源优化虚拟服务,以增强IAAS服务性能并有效地满足资源利用的要求。在本文中,我们寻求基于虚拟服务异构共享托管平台的多维资源分配方法。我们将问题构造为优化的配方,该配方使用线性编程来最小化物理机器的数量。该配方的解决方案是应用贪婪算法来通过基于仿真的程序来解决和评估。

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