The week's pick
Random Articles
Reseach Article
A Perspective Study of Virtual Machine Migration
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 149 - Number 1 |
| Year of Publication: 2016 |
| Authors: Anu Thind, Mandeep Devgan |
10.5120/ijca2016911340
|
Anu Thind, Mandeep Devgan . A Perspective Study of Virtual Machine Migration. International Journal of Computer Applications. 149, 1 ( Sep 2016), 28-31. DOI=10.5120/ijca2016911340
Abstract
Generally, the term “virtualization” refers to the process of converting a hardware-based entity into a software-based component. The final result of such a procedure is encapsulation of an entity’s logic and hence Virtual Machine (VM) derived its name. Virtualization separates hardware from software and has benefits of server consolidation and live migration. The main advantage of this technique is that multiple VMs can run on top of a single physical host, which can make resource utilization much more efficient. Of particular interest are those VMs with high availability requirements, such as the ones deployed by cloud providers, given that they generate the need to minimize the downtime associated with routine operations. While physical hosts have to be powered down for maintenance, the VMs that they serve can migrate to execute on other physical nodes. It is also common to migrate VMs when load balancing is needed in the physical plane. The process of migrating VMs without any perceptible downtime is known as Live Virtual Machine Migration and is the topic of this paper. This nontrivial problem has been studied extensively and reasonable solutions have been put to practice.
References
- Ian Foster, “Developing Models”, http://www.mcs.anl.gov/~itf /dbpp/text/ node29. html, last accessed on 31 july,2013.
- K.Ye, D.Huang, X.Jiang, H.Chen, S.Wu, “Virtual Machine Based Energy-Efficient Data Center Architecture for Cloud Computing: A Performance Perspective”, IEEE/ACM International Conference on Green Computing and Communications, 2010, pp.171-178.
- DivyaKapil, Emmanuel S. Pilli and Ramesh C. Joshi “Live Virtual Machine Migration Techniques: Survey and Research Challenges” Proceedings of 2012 IEEE and 2013 3rd IEEE International Advance Computing Conference (IACC).
- Goldberg, David E., and John H. Holland. "Genetic algorithms and machine learning." Machine learning 3.2 (1988): 95-99.
- Hu, Jinhua, et al. "A scheduling strategy on load balancing of virtual machine resources in cloud computing environment." Parallel Architectures, Algorithms and Programming (PAAP), 2010 Third International Symposium on. IEEE, 2010.
- D.Jayasinghe, C.Pu, T. Eilam, M.Steinder, I.Whalley, E.Snible, “Improving Performance and Availability of Services Hosted on IaaS Clouds with Structural Constraint-aware Virtual Machine Placement”, IEEE InternationalConference on Services Computing, 2011, pp.72-79.
- Frank Schulz , “Towards Measuring the Degree of Fulfillment of Service Level Agreements”,Third International Conference on Information andComputing,2010,pp.273-276.
- Grace Lewis, “Basics about Cloud Computing”, Software Engineering Institute, September 2010.
Index Terms
Keywords