Name
Abstract | ||
|---|---|---|
Cloud computing enables elastic resource provisioning on demand and removes the boundaries of resources' physical locations. The number of cloud-based services is on the rise due to the growing interest from both providers and consumers. These services are characterized by a large number of features or properties, which makes the automatic service selection and deployment challenging. This paper proposes QuRAM Recommender, a cloud infrastructure service recommender framework based on case-based reasoning (CBR) that supports effective service selection. QuRAM Recommender supports decision making that accommodates the customer's preferences and feedback. We show the feasibility of our approach through a prototype implementation that elaborates on the main features of our system. The experimental results suggest that case-based reasoning is a viable option for recommending cloud services that best fit the customer's requirements. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICCAC.2014.26 | ICCAC |
Keywords | Field | DocType |
quaram recommender,cloud service,service selection,case-based reasoning,iaas service selection,cbr,cloud-based service,cloud infrastructure service recommender,recommendation system,cloud computing,elastic resource provisioning,engines,knowledge based systems,prototypes,cognition | Recommender system,World Wide Web,Software deployment,On demand,Knowledge-based systems,Provisioning,Service selection,Engineering,Case-based reasoning,Cloud computing | Conference |
Citations | PageRank | References |
3 | 0.39 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sima Soltani | 1 | 3 | 1.07 |
| patrick martin | 2 | 148 | 18.22 |
| khalid elgazzar | 3 | 232 | 20.77 |