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Ranking Prediction of Cloud Services based on BPR

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 9
Year of Publication: 2014
Aswathi Vandana P
Bhaggiaraj S

Aswathi Vandana P and Bhaggiaraj S. Article: Ranking Prediction of Cloud Services based on BPR. International Journal of Computer Applications 89(9):26-31, March 2014. Full text available. BibTeX

	author = {Aswathi Vandana P and Bhaggiaraj S},
	title = {Article: Ranking Prediction of Cloud Services based on BPR},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {9},
	pages = {26-31},
	month = {March},
	note = {Full text available}


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.


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