CFP last date
20 May 2024
Reseach Article

The Application of Random Walk Model to Enhance Utilization of Cloud based Services through Virtualization

by Vaidehi M., T. R. Gopalakrishnan Nair
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 35
Year of Publication: 2019
Authors: Vaidehi M., T. R. Gopalakrishnan Nair
10.5120/ijca2019918319

Vaidehi M., T. R. Gopalakrishnan Nair . The Application of Random Walk Model to Enhance Utilization of Cloud based Services through Virtualization. International Journal of Computer Applications. 182, 35 ( Jan 2019), 12-17. DOI=10.5120/ijca2019918319

@article{ 10.5120/ijca2019918319,
author = { Vaidehi M., T. R. Gopalakrishnan Nair },
title = { The Application of Random Walk Model to Enhance Utilization of Cloud based Services through Virtualization },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2019 },
volume = { 182 },
number = { 35 },
month = { Jan },
year = { 2019 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number35/30289-2019918319/ },
doi = { 10.5120/ijca2019918319 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:13:20.719792+05:30
%A Vaidehi M.
%A T. R. Gopalakrishnan Nair
%T The Application of Random Walk Model to Enhance Utilization of Cloud based Services through Virtualization
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 35
%P 12-17
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing has transformed the complete operation pattern of just not IT industries but also other sectors like Transportation, Metrological unit, Finances, education, agriculture, health care etc., The transformation is due to the enormous reliable services provided to these sectors at low cost. The Cloud model is able to do this because of the flexibility in providing services like the computing resource, storage or data managing and migration. These services are provided based on the user requirements, the user may opt for a public, private or a hybrid cloud. Cloud based applications are fully deployed in cloud and all the supporting applications run in cloud. The performance of the computing model is influenced by the operation of the model. The computing model should always be available and reliable. Efficient operation depends on good scheduling and resource allocation techniques. In this paper, a mathematical model to configure the required series of Virtual machines termed as Super Virtual machines (SVM) has been proposed. SVM is a combination of Virtual machines (VMs) which comprises of Processor, Storage space and Bandwidth required for computation. The research contribution shows an increase in availability and reliability of resources to requesting jobs.

References
  1. Jose Rafel Xavier Dos Santos, Hendrik Moens, Bruno Vokkaert, Flip De Truck, “Design and evaluation of elastic media resource allocation algorithms using CloudSim extensions”, International Conference on Network and Service Management 2015, pp 318-326
  2. Guangjie Han, Wehui Que, Gangyong Jia, and Lie Shu, An Efficient Virtual Machine Consolidation Scheme for Multimedia Cloud Computing, Sensors, 2016, 16,246.DOI:10.3390/S16020246, mdp.com/journal/sensors
  3. W. M. Ding et al., "Research on the Virtualization Technology in Cloud Computing Environment", International Journal of Engineering Research in Africa, Vol. 21, pp. 191-196, 2016
  4. Xiong Fu and Chen Zhou, “Predicted Affinity Based Virtual Machine Placement in Cloud Computing Environments”, IEEE Transactions, on Cloud Computing, Vol 13, No.9 September 2014, DOI: 10,1109/TCC.2017.2737624,IEEE
  5. Shengmei Luo, Zhaoji Lin, Xiaohua Chen, Virtualization Security for Cloud Computing Service”, International Conference on Cloud Service Computing 2011
  6. Wei-Zhe Zhang, Hu-Cheng Xie, and Ching-Hsien Hsu, Automatic Memory Control of Multiple Virtual Machines on a Consolidated Server, his article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCC.2014.2378794, IEEE Transactions on Cloud Computing
  7. Anton Beloglazov and Rajkumar Buyya “Energy Efficient Resource Management in Virtualized Cloud Data Centers”2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing.
  8. Wenxin Li, Heng Qi, Keqiu Li, Ivan Stojmenovic, and Julong Lan, “Joint Optimization of Bandwidth for Provider and Delay for User in Software Defined Data Centers”, IEEE TRANSACTIONS ON CLOUD COMPUTING, VOL. 5, NO. 2, APRIL-JUNE 2017
  9. Meryeme AouanE, Hanan El Bakkali, “Virtualization in Cloud Computing: NoHype vs HyperWall New approach”, 2nd International Conference on Electrical and Information Technologies ICEIT’2016
  10. Nancy Jain, Sakshi Choudhary, “Overview of Virtulization in Cloud Computing”, Symposium on Colossal Data Analysis and Networking (CDAN) 2016
  11. Suneeta Mohanty, Prasant Kumar Pattnaik, G. B. Mund, “ Privacy Preserving Auction Based Virtual Machine Instances Allocation Scheme for Cloud Computing Environment’, International Journal of Electrical and Computer Engineering (IJECE) Vol. 7, No. 5, October 2017, pp. 2645~2650 ISSN: 2088-8708, DOI: 10.11591/ijece.v7i5.pp2645-2650
  12. .Kuo-Hsing Chiang and Nirmala Shenoy A 2-D Random-Walk Mobility Model for Location-anagement Studies in Wireless Networks”, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 53, NO. 2, MARCH 2004
  13. APPEDIX
  14. Samples of SimulationS
  15. //
  16. 
  17. 
Index Terms

Computer Science
Information Sciences

Keywords

Super Virtual Machines Availability Reliability Scheduling Latency Response time