DocumentCode :
3078396
Title :
Cloud Service Recommendation: State of the Art and Research Challenges
Author :
Guo, Lantian ; Xianrong Zheng ; Chen Ding ; Dejun Mu ; Zhe Li
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
fYear :
2015
fDate :
4-7 May 2015
Firstpage :
761
Lastpage :
764
Abstract :
Cloud computing is an attractive platform which offers on-demand resources as services. When many cloud services are available, some may have similar or same functionalities. So cloud service recommendation, which can help users to select the services based on their preferences, become an important technique for cloud services. In this paper, we review the relevant technologies that can perform cloud service recommendation. First, we introduce the web service selection and recommendation technologies. Next, we describe QoS measurement for cloud service and different recommendation methods focusing on Collaborative filtering. Third, we discuss the research challenges and opportunities for cloud service recommendation.
Keywords :
Web services; cloud computing; collaborative filtering; quality of service; recommender systems; QoS measurement; Web service recommendation technologies; Web service selection; cloud computing; cloud service recommendation; collaborative filtering; Cloud computing; Collaboration; Computational modeling; Predictive models; Quality of service; Reliability; Cloud computing; QoS measurement; collaborative filtering; service recommendation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/CCGrid.2015.144
Filename :
7152551
Link To Document :
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