Paper Info
Title
Resource reconstruction algorithms for on-demand allocation in virtual computing resource pool
Abstract
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. Resource 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 distribution of resources. The algorithms can complete the resource adjustment with a lower cost and form the logic resources to match the demands of resource users easily.
Year
DOI
Venue
2012
10.1007/s11633-012-0627-3
International Journal of Automation and Computing
Keywords
DocType
Volume
resource adjustment.,resource allocation,logic resource,resource on-demand allocation,resource adjustment,resource split,resource combination,status transition,virtual computing systems,resource reconstruction,resource allocation process,resource random adjustment,virtual computing resource pool,resource user,resource distribution,resource reconstruction algorithm
Journal
9
Issue
ISSN
Citations 
2
1751-8520
1
PageRank 
References 
Authors
0.35
19
4
Name
Order
Citations
PageRank
Xiao-Jun Chen110.35
Jing Zhang28410.71
Junhuai Li33916.44
Xiang Li4304.27