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Reseach Article

Ranking Prediction of Cloud Services based on BPR

by Aswathi Vandana P, Bhaggiaraj S
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 9
Year of Publication: 2014
Authors: Aswathi Vandana P, Bhaggiaraj S
10.5120/15532-4415

Aswathi Vandana P, Bhaggiaraj S . Ranking Prediction of Cloud Services based on BPR. International Journal of Computer Applications. 89, 9 ( March 2014), 26-31. DOI=10.5120/15532-4415

@article{ 10.5120/15532-4415,
author = { Aswathi Vandana P, Bhaggiaraj S },
title = { Ranking Prediction of Cloud Services based on BPR },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 9 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 26-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number9/15532-4415/ },
doi = { 10.5120/15532-4415 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:08:49.197323+05:30
%A Aswathi Vandana P
%A Bhaggiaraj S
%T Ranking Prediction of Cloud Services based on BPR
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 9
%P 26-31
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud is an advancing technology where the the concept of service oriented architecture, distributed, autonomic, and utility computing is being utilized by various service providers. The current changing world is highly challengeable to build high-quality cloud application. Since QoS ranking that provide beneficial information for optimal cloud service selection is time consuming and expensive, this paper focuses on QoS ranking prediction framework for selecting optimal cloud services based on Bayesian Personalized Ranking. Our proposed framework is able to perform well with no additional invocations of cloud services while predicting appropriate services. QoS Ranking Prediction can be done by two approaches. The simulation results show that the approaches are outperforming other competing approaches.

References
  1. Andrzej Goscinski, Michael Brock, 2010,"Toward dynamic and attribute based publication, discovery and selection for cloud computing", Future Generation Computer Systems, pp. 947-970.
  2. J. Marden, 1995, "Analyzing and Modeling Ranking Data", Chapman & Hall.
  3. Jose Luis Lucas-Simarro, Rafael Moreno-Vozmediano, Ruben S. Montero, Ignacio M. Llorente, 2012, "Scheduling strategies for optimal service deployment acrossmultiple clouds", Future Generation Computer Systems, pp. 1431–1441.
  4. Linlin Wu, Saurabh Kumar Garg, Rajkumar Buyya, 2011, "SLA-based admission control for a Software-as-a-Service provider in Cloud computing environments ", Journal of Computer and System Sciences, pp. 1280–1299.
  5. Michael Armbrust et al. , 2010, "A View of Cloud Computing," Comm. ACM, vol. 53, no. 4, pp. 50-58,.
  6. Pawel Czarnul, 2012," An Evaluation Engine for Dynamic Ranking of Cloud Providers", Informatica 37, pp. 123–130,.
  7. Qinyi Wu, Arun Iyengar et. al, 2009, "Combining Quality of Service and Social Information for Ranking Services", 7th International Joint Conference, ICSOC-ServiceWave, Sweden, pp. 561-575.
  8. Saurabh Kumar Garg, Steve Versteeg, Rajkumar Buyya, 2012, "A framework for ranking of cloud computing services", Future Generation Computer Systems, pp. 1012–1023.
  9. Rendle et. al. , 2009, "BPR: Bayesian Personalized Ranking from Implicit Feedback", UAI, pp. 452-461.
  10. Yilei Zhang, Zibin Zheng and Michael R. Lyu, 2011, "BFTCloud: A Byzantine Fault Tolerance Framework for Voluntary-Resource Cloud Computing", 2011 IEEE 4th International Conference on Cloud Computing, pp. 444- 451.
  11. Zibin Zheng et al. , 2012, "QoS Ranking Prediction for Cloud Services", IEEE Transactions On Parallel And Distributed Systems, Vol. -24, No. 6, June 2013, pp. 1213-1222.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing Ranking prediction Bayesian Personalized Ranking