The week's pick
Random Articles
Reseach Article
A Resource Pool Management Model using Fuzzy Logic Decision Making
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 29 - Number 10 |
| Year of Publication: 2011 |
| Authors: Mya Sithu, Ni Lar Thein |
10.5120/3599-5000
|
Mya Sithu, Ni Lar Thein . A Resource Pool Management Model using Fuzzy Logic Decision Making. International Journal of Computer Applications. 29, 10 ( September 2011), 24-31. DOI=10.5120/3599-5000
Abstract
In Virtualized Data Center (VDC), fixed allocation of virtual machines (VMs)’ resources usually make overloading or under-loading condition as the workloads of the application they run have dynamic features. Underloading leads unutilized resource usages and SLA deviation is also appeared because of the over-loading. Therefore, dynamic allocation of VM resource usage is necessary in order to get a load balanced environment. Resource usage prediction of virtual machines is needed to be done for dynamic VM resource provisioning. For VMs, dynamic resource provisioning is available only when the host has enough re-sources to complement their demands. But in the condition of host overloading, VM migration should be made in order to keep a load balanced condition. VM migration depends on a variety of criteria and efficient decision support is required. In this paper, neuro-fuzzy is applied for resource usage prediction and combination of AHP and Fuzzy-TOPSIS is used for decision support of VM migration. VM resource prediction and decision support model are evaluated by the resource pools data. Simulation and mathematical evaluation confirms that such an integrated solution ensures acceptable accuracy.
References
- B.Kosko.Neural Networks and Fuzzy Systems. First Edi-tion, Prentice Hall of India, 1997.
- C.L. Hwang and K. Yoon. Multiple attribute decision making: Methods and applications. Berlin: Springer. 1981.
- D. L. Olson, "Comparison of weights in TOPSIS models", Mathematical and Computer Modeling, 40, (7) 21-727, 2004.
- I.Mevag.Towards Automatic Management and Live Mi-gration of Virtual Machines. Thesis of Oslo University, May 2007.
- J.Xu, M.Zhao, J.Fortes, R.Carpenter and M.Yousif.Autonomic Resource Management in virtualized data centers using fuzzy logic-based approaches. In Proc. IEEE, July 2008.
- K.Begnum and M.Disney. Decision Support for Virtual Machine Re-Provisioning in Production Environments. 21st Large Installation System Administration Conference, LISA’ 07.
- M.Dagdviren, S.Yavuz and N.Kilinc. Weapon Selection using AHP and TOPSIS Methods Under Fuzzy Environ-ments. In Journal of Elsevier, Expert Systems with Appli-cations, 2009. pp.8143-8151.
- M.Tarighi, S.A.Motamedi, S.Sharifian. A New Model for Virtual Machine Migration in Virtualized Cluster Server Based on Fuzzy Decision Making. In Journal of Telecommu nications, Volume 1, Issue 1, February 2010.
- P. J. Werbos, "Neuro control and fuzzy logic: connections and design," Int. J. Approximate Reasoning, Vol. 6, Feb. 1992, pp. 185-220.
- P.Padala, X.Zhu, M.Uysal and Z. Wang. Automated Control of Multiple Virtualized Resources. In Proc. EuroSys’09 ACM, April 2009.
- T.Wood, P.Shenoy,A.Venkataramai, and M.Yousif.Black Box and Gray Box Strategies for Virtual Machine Migration . Computer Networks Journal Special Issue on Virtualized Data Center 2009.
- VMWare,Inc.DRS Performance and Best Practices, 2008.
Index Terms
Keywords