CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

RPOAWLB: Resource Provisioning Optimization Approach based on RPOA with Load Balance

by Noha El.attar, Wael Awad, Fatma Omara
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 7
Year of Publication: 2014
Authors: Noha El.attar, Wael Awad, Fatma Omara
10.5120/18392-9650

Noha El.attar, Wael Awad, Fatma Omara . RPOAWLB: Resource Provisioning Optimization Approach based on RPOA with Load Balance. International Journal of Computer Applications. 105, 7 ( November 2014), 34-41. DOI=10.5120/18392-9650

@article{ 10.5120/18392-9650,
author = { Noha El.attar, Wael Awad, Fatma Omara },
title = { RPOAWLB: Resource Provisioning Optimization Approach based on RPOA with Load Balance },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 7 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 34-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number7/18392-9650/ },
doi = { 10.5120/18392-9650 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:10.320868+05:30
%A Noha El.attar
%A Wael Awad
%A Fatma Omara
%T RPOAWLB: Resource Provisioning Optimization Approach based on RPOA with Load Balance
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 7
%P 34-41
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Consummation of the service providing with fulfilling the users QoS requirements and satisfying the service's provider, is considered a vital challenge for resource provisioning process. The QoS requirements usually have two main parameters that are needed to be optimized (i. e. minimizing service's response time, and total paid cost). On the other hand, the provider has the right to gain a profit for delivering the service. A modified algorithm based on an existed one called RPOA algorithm has been introduced to solve this problem. This modified algorithm is called The RPOA With Load Balance (RPOAWLB). According to the RPOAWLB algorithm, good utilization and load balance between resources capacities have been satisfied. This has been done by maximizing the resources utilization, and free up the low loaded resources. Therefore, this proposed algorithm provides the provider a chance to reallocate the free resources with new workloads.

References
  1. B. Urgaonkar, P. Shenoy, T. Roscoe, "Resource Overbooking and Application Profiling in Shared Hosting Platforms", SIGOPS Operating Systems Review Vol. 36, Issue SI, 2002, pp. 239-254.
  2. B. Wickremasinghe, "CloudAnalyst: A CloudSim-based Tool for Modelling and Analysis of Large Scale Cloud Computing Environments", Distributed Computing Project, CSSE Dept. , University Of Melbourne, 2009, pp. 433-659.
  3. E. Byun, Y. Kee, J. Kim, S. Maeng, "Cost Optimized Provisioning of Elastic Resources for Application Workflows", Future Generation Computer System, Vol. 27, No. 8, 2011, pp. 1011-1026.
  4. H. Bhavani, H. Guruprasad, "Resource Provisioning Techniques in Cloud Computing Environment: A Survey", International Journal of Research in Computer and Communication Technology, Vol. 3, Issue 3, pp. 395-401, 2014.
  5. J. Almeida, V. Almeida, D. Ardagna, I. Cunha, C. Francalanci, M. Trubian, "Joint Admission Control And Resource Allocation In Virtualized Servers", J. Parallel Distrib. Comput. , Vol. 70, Issue 4, 2010, pp. 344-362.
  6. M. Katyal, A. Mishra, "A Comparative Study of Load Balancing Algorithms in Cloud Computing Environment", International Journal of Distributed and Cloud Computing, Vol. 1, Issue 2, 2013, pp. 5-14.
  7. N. El. Attar, W. Awad, F. Omara, "Resource Provision for Services Workloads based on (RPOA)", Int. J. of Computer Science Issue (IJCSI), Vol. 9, Issue 3, 2012, pp. 553- 560.
  8. N. El. Attar, W. Awad, S. AbdElhafeez, F. Omara, "RPOA Model-Based Optimal Resource Provisioning", International Journal of Advanced Computer Science and Applications, Vol. 5, No. 2, 2014, pp. 111-120.
  9. R. Buyya, R. Ranjan, R. Calheiros, "Modeling and Simulation of Scalable Cloud Computing Environments and the CloudSim Toolkit: Challenges and Opportunities", in the 7th High Performance Computing and Simulation (HPCS 2009) Conf. , June 21 - 24, 2009.
  10. R. Calheiros, R. Ranjan, A. Beloglazov, C. Rose, R. Buyya, "CloudSim: A Toolkit for Modeling and Simulation of Cloud Computing Environments and Evaluation of Resource Provisioning Algorithms", J. of Software: Practice and Experience (SPE), Vol. 41, Issue 1, 2011, pp. 23-50.
  11. S. Banerjee, I. Mukherjee, K. Mahanti, "Cloud Computing Initiative using Modified Ant Colony Framework", World Academy of Science, Engineering and Technology, Vol:3, Issue 23, 2009, pp. 200-203.
  12. S. Chaisiri, "Optimization of Resource Provisioning Cost in Cloud Computing", IEEE Transactions On Services Computing, Vol. 5, No. 2, 2012, pp. 155-177.
  13. S. Suganya, P. RajiPriyadharshini, A. Masanam, "Resource Provisioning in Cloud Computing Based on Virtual Machines", International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3, Issue 3, 2014, pp. 5881- 5884.
  14. S. Woo, J. Mirkovic, "Optimal Application Allocation On Multiple Public Clouds", Elsevier Computer Networks Journal, Vol. 68, 2014, pp. 138-148.
  15. Y. Chen, S. Tsai, "Optimal Provisioning of Resource in a Cloud Service", (IJCSI) International Journal of Computer Science Issues, Vol. 7, Issue 6, 2010, pp. 95-99.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing Resource Provision Load Balance

Powered by PhDFocusTM