CFP last date
20 January 2025
Reseach Article

Cloud Service ranking and Selection using Linear Programming

by J. Preethi, N. Sujaudeen, P. Venugopal, T.T. Mirnalinee
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 124 - Number 3
Year of Publication: 2015
Authors: J. Preethi, N. Sujaudeen, P. Venugopal, T.T. Mirnalinee
10.5120/ijca2015905217

J. Preethi, N. Sujaudeen, P. Venugopal, T.T. Mirnalinee . Cloud Service ranking and Selection using Linear Programming. International Journal of Computer Applications. 124, 3 ( August 2015), 39-43. DOI=10.5120/ijca2015905217

@article{ 10.5120/ijca2015905217,
author = { J. Preethi, N. Sujaudeen, P. Venugopal, T.T. Mirnalinee },
title = { Cloud Service ranking and Selection using Linear Programming },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 124 },
number = { 3 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 39-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume124/number3/22087-2015905217/ },
doi = { 10.5120/ijca2015905217 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:14:46.774247+05:30
%A J. Preethi
%A N. Sujaudeen
%A P. Venugopal
%A T.T. Mirnalinee
%T Cloud Service ranking and Selection using Linear Programming
%J International Journal of Computer Applications
%@ 0975-8887
%V 124
%N 3
%P 39-43
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is basically an internet based computing, whereby shared configurable resources are provided to cloud service consumers as services on demand. As an increasing growth of cloud computing, many enterprises provide different cloud services to cloud service consumers. From cloud service consumer's perspective, it is difficult to choose an appropriate cloud service that satisfies their QoS requirements. As requirements of one cloud service consumer will vary from another, dynamic ranking has to be used to satisfy the requirements of different cloud service consumers. A simple model is needed to address the dynamic ranking of cloud services. The dynamic ranking and selection of cloud services is solved using Linear Programming(LP) model. This project considers quantifiable attributes such as processor speed, cost, etc. and some non-quantifiable attributes to rank various cloud services according to the requirements of cloud service consumer using Linear Programming(LP) technique.

References
  1. P. Mell and T. Grance, “The NIST definition of cloud computing,” National Institute of Standards and Technology, Information Technology Laboratory, Technical Report Version 15, 2009.
  2. J. Saurabh Kumar Garg, Steve Versteeg and RajkumarBuyya, “A framework for ranking of Cloud computing services”, Future Generation Computer Systems 29 , 2013.
  3. Z. Zheng, Y. Zhang, and M.R. Lyu,“CloudRank: A QoS-Driven Component Ranking Framework for Cloud Computing”, in Proc. Int’l Symp. Reliable Distributed Systems (SRDS ’10), pp. 184-193, 2010.
  4. X. Liu, Y. Yang, D. Yuan, G. Zhang , W. Li and D.Cao, “A Generic QoS Framework for Cloud Workflow Systems”, Proc. Ninth IEEE Int. Conf. Dependable, Autonomic and Secure Computing, pp.713-720 , 2011.
  5. Z. Zheng, X. Wu, Y. Zhang, M. R. Lyu, and J. Wang, “QoS ranking prediction for cloud services”, IEEE Transactions on Parallel and Distributed Systems, vol. 99, no. Preprints, p. 1, 2012.
  6. T. Chauhan, S. Chaudhary, V. Kumar, and M. Bhise, “Service Level Agreement Parameter Matching in Cloud Computing”, World Cong. ICT , pp. 564-570, 2011.
  7. Maryam Solhi Lord and Samira MohebbiBazardeh, “Linear Programming and Optimizing the Resources”, Institute of Interdisciplinary Business Research, 2013.
  8. DimitrisSouravlias and Konstantinos E. Parsopoulos, “Particle Swarm Optimization with Budget Allocation through Neighborhood Ranking”, Genetic and Evolutionary Computation Conference, 2013.
  9. M. Subha and M. UthayaBanu, “A Survey on QoS Ranking in Cloud Computing”, International Journal of Emerging Technology and Advanced Engineering, Volume 4, Issue 2, February 2014
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing QoS Cloud Service Ranking Service Selection Linear Programming.