• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

Efficient Resource Recommendation System for Cloud Market Computing


Seung-Min Han, Eui-Nam Huh, Chang-Woo Youn, Journal of Internet Computing and Services, Vol. 11, No. 3, pp. 121-130, Jun. 2010
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Keywords: Cloud, Recommender System, Market, Resource Selection, Virtual Machine

Abstract

In recent years, Cloud computing is gaining much popularity as it can efficiently utilize the computing resources and hence can contribute to the issue of green IT. So to make the Cloud services commercialized, Cloud markets are necessary and are being developed. As the increasing numbers of various Cloud services are rapidly evolving in the Cloud market, how to select the best and optimal services will be a great challenge. In this paper we present a Cloud service selection framework in the Cloud market that uses a recommender system (RS) which helps a user to select the best services from different Cloud providers (CP) that matches his/her requirements. The RS recommends a service based on the QoS and Virtual Machine (VM) factors of difference CPs. The experimental results show that our Cloud service recommender system (CSRS) can effectively recommend a good combination of Cloud services to consumers.


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Cite this article
[APA Style]
Seung-Min Han, Eui-Nam Huh, & Chang-Woo Youn (2010). Efficient Resource Recommendation System for Cloud Market Computing. Journal of Internet Computing and Services, 11(3), 121-130.

[IEEE Style]
S. Han, E. Huh and C. Youn, "Efficient Resource Recommendation System for Cloud Market Computing," Journal of Internet Computing and Services, vol. 11, no. 3, pp. 121-130, 2010.

[ACM Style]
Seung-Min Han, Eui-Nam Huh, and Chang-Woo Youn. 2010. Efficient Resource Recommendation System for Cloud Market Computing. Journal of Internet Computing and Services, 11, 3, (2010), 121-130.