Journal of Computer and Communications

Volume 3, Issue 6 (June 2015)

ISSN Print: 2327-5219   ISSN Online: 2327-5227

Google-based Impact Factor: 1.12  Citations  

CSRecommender: A Cloud Service Searching and Recommendation System

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DOI: 10.4236/jcc.2015.36007    3,511 Downloads   4,741 Views  Citations
Author(s)

ABSTRACT

Cloud Computing and in particular cloud services have become widely used in both the technology and business industries. Despite this significant use, very little research or commercial solutions exist that focus on the discovery of cloud services. This paper introduces CSRecommender—a search engine and recommender system specifically designed for the discovery of these services. To engineer the system to scale, we also describe the implementation of a Cloud Service Identifier which enables the system to crawl the Internet without human involvement. Finally, we examine the effectiveness and usefulness of the system using real-world use cases and users.

Share and Cite:

Wheal, J. and Yang, Y. (2015) CSRecommender: A Cloud Service Searching and Recommendation System. Journal of Computer and Communications, 3, 65-73. doi: 10.4236/jcc.2015.36007.

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