Performance Optimizing Factor Analysis of Virtual Machine Live Migration in Cloud Data-centers

Article Sidebar

PDF
Published: Jun 24, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i5.3867
Keywords:
cloud computing, virtualization, virtual machine, live migration

Main Article Content

anu valiyaparambil raveendran
Mahatma Gandhi university
Elizebeth Sherly
Professor, Indian Institute of Information Technology and Management, Kerala

Abstract

Cloud computing holds its importance in almost every field of technology. It makes provisioning, scaling, and maintenance of applications and services with sophisticated deployment and management of resources. Currently, many clouds, such as Amazon’s EC2, Google’s AppEngine, IBM’s Blue- Cloud, and Microsoft’s Azure are providing various cloud services.VM migration is a widely used cloud feature for better performance and efficiency. Allocation of jobs in an intelligent manner is essential for the efficient VM migration in any cloud environment. This paper analyses different factors which have direct impact on VM migration and thus on cloud performance. With the extensive simulations in cloudsim environment, we found that memory dirtying rate has a vital role in determining the performance of live migration in cloud data centers. We used different techniques to vary the memory dirtying rate and studied its impact on downtime, total migration time and thus the scope of performance improvement. Along with the dynamic parameters, static parameters are also contributed to performance improvement of live migration characteristics.

Downloads

Download data is not yet available.

Article Details

Issue
Vol. 8 No. 5 (2017): May-June 2017
Section
Articles

COPYRIGHT

Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
  • The journal allows the author(s) to retain publishing rights without restrictions.
  • The journal allows the author(s) to hold the copyright without restrictions.

References

Akoush S, Sohan R, Rice A, Moore A.W & Hopper A., Predicting the performance of virtual machine migration. In IEEE International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), pp. 33-46, 2010.

Wenjin Hu and Andrew Hicks, A Quantitative Study of Virtual Machine Live Migration,InProceedings of the ACM Cloud and Autonomic Computing Conference, pp. 11-15 ,2013.

Christopher Clark, Keir Fraser, Steven Hand, Jacob Gorm Hansen, EricJul, Christian Limpach, Ian Pratt, and Andrew Warfield, Live migration of virtual machines. In NSDI ’05: 2nd Symposium on Networked Systems Design and Implementation, USENIX Association, Vol.2, pp. 273-286, 2005.

Raja Wasim Ahmad& Abdullah Gani,A survey on virtual machine migration and server consolidation frameworks for cloud data centers.In Journal of Network and Computer Applications, Vol.52, pp. 11-25, 2015.

Senthil Nathan, UmeshBellur, On Selecting the Right Optimizations for Virtual Machine Migration,InInternational Conference on Virtual Execution Environments on 12th ACM SIGPLAN/SIGOPS ,pp. 37-49,2016.

Robert Jay Creasy. The origin of the VM/370 time-sharing system.In IBM Journal of Research &Development, Vol.25, pp. 483–490, 1981.

Zhao,Jia,LiangHu,GaochaoXu,DechengChang,Yan Ding &XiaodongFu,A Fast Live Migration Algorithm of Virtual Machine with CPU Scheduling.In Proceedings of the Internatonal Conference on Grid Computing and applications(GCA),In Proceedings of the International Conference on Grid computing and Applications(GCA),pp. 115-120,2013.

P. Sv¨ard, J. Tordsson, B. Hudzia, and E. Elmroth,High Performance Live Migration through Dynamic Page Transfer Reordering and Compression, In CloudCom ’11: 3rd IEEE International Conference on Cloud Computing Technology and Science, pp. 542–548, 2011.

J. Yang, Key technologies and optimization for dynamic migration of virtual machines in cloud computing, In International Conference on Intelligent Systems Design and Engineering Applications, pp.643-64, 2012.

Liu,Haikun,HaiJin,Cheng-ZhongXu&Xiaofei Liao ,Performance and Energy modelling for live migration of virtual machines. In the Journal of Cluster Computing 16, Vol.2, pp.249-264, 2013.

Maziku,Hellen&SachinShetty,Towards a network aware vmmigration:Evaluating the cost of vm migration in cloud data ceters,In IEEE 3rd International Conference on Cloud Networking(CloudNet),pp.114-119,2014.

Chen J,QinY,Ye y & Tang Z,A Live Migration Algorithm for Virtual Machinein a Cloud computing Environment.InUbiquitious Intelligence and Computing and IEEE 12th International Conference on automatic and Trusted computing,pp.1319-1326,2015

Forsman,Mattias,AndreasGlad,Lars Lundberg &DragosIlie,Algorithms for Automated Live Migration of Virtual Machines,In Journal of systems iand software ,Vol. 101,pp.110-126,2015.

Thaman J & Singh M, Improving Performance of Cloud Datacenters Using Heuristic Drive VM Migration. In International Conference on Next Generation Computing Technologies (NGCT), pp.41-45, 2015.

Salfner,Felix,PeterTroger&andreasPolze,downtime Analysis of Virtual Machine Live Migration.In fourth International Conference on Dependabilty ,IARIA,pp.100-105,2011.

KivityAvi,YanivKamay, dorLaor,Uri Lublin & Anthony Liguori,kvm: the Linux Virtual Machine Monitor,In Proceedings of the Linux Symposium,Vol.1,pp.225-230,2007.

M. R. Hines and K. Gopalan.Post-copy Live VirtualMachineMigrationUsing AdaptivePre-paging and DynamicSelf-ballooning, In VEE, 2009.

Shirinbab,Sogand,Lars Lundberg &DragosIllie,Performance Comparison of kvm, vmware and xenserver using a large telecommincation application, In cloud Computing IARIA XPS Press,2014.

Song X, Shi J, Liu R,Jian Yang &Haibo Chen ,Parallelizing Live Migration of Virtual Machines,In ACM Sigplan Notices,Vol.48,pp.85-96,2013.

Svard,PetterB,Hudzia S Walsh,JohanTordsson& Erik Elmroth. The Noble Art of Live VM Migration-Principles and Performance of Pre copy, Post copy and Hybrid Migration of Demanding Workloads, Techncal Report UMINF, Vol. 14.10,2014.

Paul Barham, Boris Dragovic, Keir Fraser, Steven Hand, Tim Harris, AlexHo, Rolf Neugebauer, Ian Pratt, and Andrew Warfield, Xen and the art of virtualization. In SOSP ’03: Proceedings of the nineteenth ACMsymposium on Operating systems principles, Vol.37, pp.164–177, 2003.

Eric Harney, SebastienGoasguen, Jim Martin, Mike Murphy, and MikeWestall, The efficacy of live virtual machine migrations over the internet, In VTDC ’07: 2nd International Workshop on Virtualization Technologies in Distributed Computing, pp 1-7. ACM, 2007.

www.Linux-kvm .org

Why Hyper-V? Competitive-advantages-of-windows-server-hyper-v-over-vmware-vsphere.pdf, October 2013 Vo1.0.White Paper.

Virtual Machine Migration Comparison: VMware vSphere vs Microsoft Hyper-V.A principled technologies test report, commissioned by VMware Inc.Whitepaper, 2011.