QoS Recommendation in Cloud Services

Authors

Xianrong Zheng, Old Dominion UniversityFollow
Li Da Xu, Old Dominion UniversityFollow
Sheng Chai

Document Type

Article

Publication Date

2017

DOI

10.1109/access.2017.2695657

Publication Title

IEEE Access

Volume

5

Pages

5171-5177

Abstract

As cloud computing becomes increasingly popular, cloud providers compete to offer the same or similar services over the Internet. Quality of service (QoS), which describes how well a service is performed, is an important differentiator among functionally equivalent services. It can help a firm to satisfy and win its customers. As a result, how to assist cloud providers to promote their services and cloud consumers to identify services that meet their QoS requirements becomes an important problem. In this paper, we argue for QoS-based cloud service recommendation, and propose a collaborative filtering approach using the Spearman coefficient to recommend cloud services. The approach is used to predict both QoS ratings and rankings for cloud services. To evaluate the effectiveness of the approach, we conduct extensive simulations. Results show that the approach can achieve more reliable rankings, yet less accurate ratings, than a collaborative filtering approach using the Pearson coefficient.

Comments

2169-3536 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information

Original Publication Citation

Zheng, X. R., Xu, L. D., & Chai, S. (2017). QoS recommendation in cloud services. IEEE Access, 5, 5171-5177. doi:10.1109/access.2017.2695657

Repository Citation

Zheng, Xianrong; Xu, Li Da; and Chai, Sheng, "QoS Recommendation in Cloud Services" (2017). Information Technology & Decision Sciences Faculty Publications. 4.
https://digitalcommons.odu.edu/itds_facpubs/4