微信服务号

微信订阅号

2025-4-24- 19
Home > Archive>Volume 28, Issue 2, 2017 >457-472. DOI:10.13328/j.cnki.jos.005054
PDF HTML XML Export Cite reminder
On-Demand Physical Resource Allocation Method for Cloud Virtual Machine to Support Random Service Requests
Author:
Affiliation:

Fund Project:

National High-Tech R&D Program of China (2009AA012201); National Natural Science Foundation of China (61402244); Program of Shanghai Subject Chief Scientist (10XD1404400); Huawei Innovation Research Project (IRP-2013-12-03); Open Foundation of the State Key Laboratory of High-End Server and Storage Technology (2014HSSA10); He’nan Scientific and Technological Innovation Project ([2015]4); Zhejiang Provincial Public Technology Application Research Project (2014C31059)

  • Article
    • | |
  • Metrics
    • |
  • Reference
    • |
  • Related
    • | | |
  • Comments
    Abstract:

    Low resource utilization is becoming much more serious in cloud platform which allocates processor resources according to the peak load while providing single service application and facing dynamic variation of resource demand. To address the problem, this study uses cloud virtual machine (VM) center to provide a variety of reasonable service applications simultaneously. Gray wave forecasting algorithm is adopted to predict the future load of service requests and a VM service utility function is proposed by taking resource requirements and service priorities into account. Each VM inside a physical machine dynamically configures physical resources to maximize the service utility value of the physical machine. Besides, by applying the global load balancing and multi-time physical resource redistribution for each virtual machine in the same physical machine, the number of physical resources assigned to the VMs whose service request amount is much larger is further increased. In the end, on-demand resource reconfiguration algorithm ODRGWF based on grey wave forecasting is put forward. The simulation results show that the proposed algorithm can effectively improve processor resource utilization, which is of practical significance to improve user request completion rate and service quality.

    Reference
    Related
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

曹洁,曾国荪,匡桂娟,张建伟,马海英,胡克坤,钮俊.支持随机服务请求的云虚拟机按需物理资源分配方法.软件学报,2017,28(2):457-472

Copy
Share
Article Metrics
  • Abstract:3112
  • PDF: 7556
  • HTML: 1399
  • Cited by: 0
History
  • Received:September 29,2014
  • Revised:December 22,2015
  • Online: January 24,2017
Links:Institute of Software, CASChina Computer FederationCASNSFC
You are the first2038239Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address：4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code：100190
Phone：010-62562563 Fax：010-62562533 Email：jos@iscas.ac.cn
Technical Support：Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063