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Efficient Resource Recommendation System for Cloud Market Computing  

Han, Seung-Min (로아그룹코리아)
Huh, Eui-Nam (경희대학교 컴퓨터공학과)
Youn, Chang-Woo (한국전자통신연구원)
Publication Information
Journal of Internet Computing and Services / v.11, no.3, 2010 , pp. 121-129 More about this Journal
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.
Keywords
Cloud; Recommender System; Market; Resource Selection; Virtual Machine;
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