TY - GEN
T1 - A declarative recommender system for cloud infrastructure services selection
AU - Zhang, Miranda
AU - Ranjan, Rajiv
AU - Nepal, Surya
AU - Menzel, Michael
AU - Haller, Armin
PY - 2012
Y1 - 2012
N2 - The cloud infrastructure services landscape advances steadily leaving users in the agony of choice. Therefore, we present CloudRecommender, a new declarative approach for selecting Cloud-based infrastructure services. CloudRecommender automates the mapping of users' specified application requirements to cloud service configurations. We formally capture cloud service configurations in ontology and provide its implementation in a structured data model which can be manipulated through both regular expressions and SQL. By exploiting the power of a visual programming language (widgets), CloudRecommender further enables simplified and intuitive cloud service selection. We describe the design and a prototype implementation of CloudRecommender, and demonstrate its effectiveness and scalability through a service configuration selection experiment on most of today's prominent cloud providers including Amazon, Azure, and GoGrid.
AB - The cloud infrastructure services landscape advances steadily leaving users in the agony of choice. Therefore, we present CloudRecommender, a new declarative approach for selecting Cloud-based infrastructure services. CloudRecommender automates the mapping of users' specified application requirements to cloud service configurations. We formally capture cloud service configurations in ontology and provide its implementation in a structured data model which can be manipulated through both regular expressions and SQL. By exploiting the power of a visual programming language (widgets), CloudRecommender further enables simplified and intuitive cloud service selection. We describe the design and a prototype implementation of CloudRecommender, and demonstrate its effectiveness and scalability through a service configuration selection experiment on most of today's prominent cloud providers including Amazon, Azure, and GoGrid.
KW - Cloud Computing
KW - Infrastructure Service
UR - http://www.scopus.com/inward/record.url?scp=84870376453&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-35194-5_8
DO - 10.1007/978-3-642-35194-5_8
M3 - Conference contribution
SN - 9783642351938
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 102
EP - 113
BT - Economics of Grids, Clouds, Systems, and Services - 9th International Conference, GECON 2012, Proceedings
T2 - 9th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2012
Y2 - 27 November 2012 through 28 November 2012
ER -