CFP last date
20 June 2024
Reseach Article

A RBRM Approach for Virtual Desktop Cloud Computing

by Rasmi. K, Vivek. V
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 7
Year of Publication: 2013
Authors: Rasmi. K, Vivek. V
10.5120/11097-6059

Rasmi. K, Vivek. V . A RBRM Approach for Virtual Desktop Cloud Computing. International Journal of Computer Applications. 66, 7 ( March 2013), 22-27. DOI=10.5120/11097-6059

@article{ 10.5120/11097-6059,
author = { Rasmi. K, Vivek. V },
title = { A RBRM Approach for Virtual Desktop Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 7 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 22-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number7/11097-6059/ },
doi = { 10.5120/11097-6059 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:21:44.723039+05:30
%A Rasmi. K
%A Vivek. V
%T A RBRM Approach for Virtual Desktop Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 7
%P 22-27
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The speciality of virtual desktop cloud computing is that user applications are executed in virtual desktops on remote servers. Resource management and resource utilization are very much significant in the area of virtual desktop cloud computing. Handling a large amount of clients in most efficient manner is the main challenge in this field. This is because we have to ensure maximum resource utilization along with user data confidentiality, customer satisfaction, scalability, minimum SLA violation etc. Assigning too many users to one server may cause overloaded condition and which will lead to customer dissatisfaction. Assigning too little load will result in high investment cost. So we have taken in to consideration these two situations also. Here the proposed Rule Based Resource Management (RBRM) scheme assures the above mentioned parameters like minimum SLA violation. The concept of virtual desktop cloud computing is extended to a hybrid cloud environment. This is because to make the private cloud scalable. And priorities are assigned to user requests in order to maintain their confidentiality. The results of the paper indicate that by applying this RBRM scheme to the already existing overbooking mechanism will improve the performance of the system with significant reduction in SLA violation.

References
  1. Lien Deboosere , Bert Vankeirsbilck ,Pieter Simoens , Filip De Turck , Bart Dhoedt and Piet Demeester, 2012,"Efficient resource management for virtual desktop cloud computing", The Journal of Supercomputing November, Volume 62, Issue 2, pp 741-767.
  2. W. Iqbal, M. Dailey, D. Carrera, 2009, "SLA-Driven Adaptive Resource Management forWeb Applications on a Heterogeneous Compute Cloud", CloudCom 2009, LNCS 5931, pp. 243–253.
  3. Jiang Dejun, Guillaume Pierre, Chi-Hung Chi, "Resource Provisioning of Web Applications in Heterogeneous Clouds".
  4. Quiroz A, Kim H, Parashar M, Gnanasambandam N, Sharma N, 2009, "Towards workload provisioning for enterprise grids and clouds",IEEE/ACM international conference on grid computing. pp 50-57.
  5. Abirami S. P. , Shalini Ramanathan, 2012 ,"Linear Scheduling Strategy for Resource allocation in Cloud Environment",International Journal on Cloud Computing and Architecture ,vol. 2, No. 1, February.
  6. Christopher Clark, Keir Fraser, Steven Hand, Jacob Gorm Hanseny, Eric July, Christian Limpach, Ian Pratt, Andrew Warfield, 2005, "Live Migration of Virtual Machines", 2nd Symposium on Networked Systems Design and Implementation (NSDI) , May
  7. Rakhi k Raj and Getzi Jeba Leelipushpam. P, 2012, "Live Virtual Machine Migration Techniques – A Survey", International Journal of Engineering Research and Technology, Volume 1 Issue 7, September.
  8. Nilabja Roy, Abhishek Dubey and Aniruddha Gokhale , "Efficient Autoscaling in the Cloud using Predictive Models for Workload Forecasting".
  9. Soramichi Akiyama, Takahiro Hirofuchi, Ryousei Takano, Shinichi Honiden, 2012, "MiyakoDori: A Memory Reusing Mechanism for Dynamic VM Consolidation", Fifth International Conference on Cloud Computing, IEEE 2012.
  10. Jyothi Sekhar, Getzi Jeba, S. Durga,2012, "A Survey on Energy Efficient Server Consolidation Through VM Live Migration", International Journal of Advances in Engineering & Technology, November.
  11. Rashmi. K. S, Suma. V and Vaidehi. M, 2012, "Enhanced Load Balancing Approach to Avoid Deadlocks in Cloud", Special Issue of International Journal of Computer Applications (0975 – 8887) on Advanced Computing and Communication Technologies for HPC Applications - ACCTHPCA, June.
  12. Calheiros R N, Ranjan R, Beloglazov A, De Rose CAF, Buyya R, 2011 CloudSim: a toolkit for modelling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw Pract Exp 41(1):23–50.
  13. Rajkumar Buyya, Rajiv Ranjan ,Rodrigo N. Calheiros , "Modeling and Simulation of Scalable Cloud Computing Environments and the CloudSim Toolkit: Challenges and Opportunities".
  14. Feng Huang, 2006, "A Selective Approach to Bandwidth Overbooking".
  15. Martello S, Toth P, 1990, Knapsack problems: algorithms and computer implementations. Wiley,New York
  16. Xing Xu, Hao Hu, Na Hu, Weiqin Ying , 2012, "Cloud Task and Virtual Machine Allocation Strategy in Cloud Computing Environment"Network Computing and Information SecurityCommunications in Computer and Information Science Volume 345, pp 113-120.
  17. Rajkamal K. Grewal , Pushpendra K. P. , 2012, "A Rule-based Approach for Effective Resource Provisioning in Hybrid Cloud Environment. " International Journal of Computer Science and Informatics ISSN (PRINT): Vol-1, Iss-4, 2231 –5292.
  18. Voorsluys W, Broberg J, Venugopal S, Buyya R , 2009, "Cost of virtual machine live migration in clouds: A performance evaluation". In: Proceedings of the 1st international conference on cloud computing, pp 254–265.
Index Terms

Computer Science
Information Sciences

Keywords

Virtual desktop cloud computing Resource management Resource Overbooking Rule Based Resource Management SLA violation