Abstract | ||
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Cloud computing is attractive to many organizations because of its support for on-demand resources. The processes of deploying and running an application on the cloud need to be simple and efficient in order to justify the costs incurred in moving to the cloud. Unfortunately this is not necessarily the case today. Cloud application management therefore needs to become more provider-independent, autonomic and Quality-of-Service (QoS) aware. The QuARAM framework for QoS-aware autonomic cloud application management supports application developers in selecting a cloud provider, provisioning resources on the provider, deploying the application, and then managing the execution of the application. |
Year | DOI | Venue |
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2012 | 10.3233/978-1-61499-322-3-20 | CLOUD COMPUTING AND BIG DATA |
Keywords | Field | DocType |
Cloud computing,application management,autonomic computing,case based reasoning | Application lifecycle management,Qos aware,Computer science,Distributed computing,Cloud computing | Conference |
Volume | ISSN | Citations |
23 | 0927-5452 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
patrick martin | 1 | 148 | 18.22 |
Sima Soltani | 2 | 3 | 1.07 |
Wendy Powley | 3 | 329 | 28.43 |
Mastoureh Hassannezhad | 4 | 0 | 0.34 |