Resource Reconstruction Algorithms for 0n-demand Allocation in Virtual Computing Resource Pool

• Published in: 国际自动化与计算杂志 Vol. 9; no. 2; pp. 142 - 154
• Main Author: Xiao-Jun Chen Jing Zhang Jun-Huai Li Xiang Li
• Format: Journal Article
• Language: Chinese
• Published: 2012
• Subjects: 虚拟化; 计算资源; 资源分布; 资源分配; 资源利用效率; 资源需求; 配置; 重建算法
• ISSN: 1476-8186; 1751-8520

Resource reconstruction algorithms are studied in this paper to solve the problem of resource on-demand allocation and improve the efficiency of resource utilization in virtual computing resource pool. Based on the idea of resource virtualization and the analysis of the resource status transition, the resource allocation process and the necessity of resource reconstruction are presented, l~esource reconstruction algorithms are designed to determine the resource reconstruction types, and it is shown that they can achieve the goal of resource on-demand allocation through three methodologies： resource combination, resource split, and resource random adjustment. The effects that the resource users have on the resource reconstruction results, the deviation between resources and requirements, and the uniformity of resource distribution are studied by three experiments. The experiments show that resource reconstruction has a close relationship with resource requirements, but it is not the same with current distribut