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Content Provider | IEEE Xplore Digital Library |
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Author | Di Stefano, A. Morana, G. Zito, D. |
Copyright Year | 2015 |
Description | Author affiliation: DIEEI, Univ. of Catania, Catania, Italy (Di Stefano, A.; Morana, G.; Zito, D.) |
Abstract | Today, the main limit for an efficient exploitation of resources owned by one or more IaaS environments is not technical, but structural: users and providers have two different views that rarely are really integrated. Cloud users have a deep knowledge about their workflows, but they don't have any details about the real state of the IaaS physical resources. Cloud providers have the opposite problem: they know only the state of the offered resources but ignore the structure and time evolution of the user's workflows that will run on them. Such a lack of common shared knowledge hardly limits the opportunity to optimise the performance of both sides. To fill this gap of integration, this paper proposes $C^{2}@home,$ an autonomic user-side management system designed to drive and optimise the deployment of workflows on Cloud of Cloud environments. Experiments demonstrate that the aggregation of information about workflows' structure and evolution and actual data on hardware utilisation allow user to optimise the workflows performance. |
Starting Page | 1473 |
Ending Page | 1480 |
File Size | 342778 |
Page Count | 8 |
File Format | |
e-ISBN | 9781509001545 |
DOI | 10.1109/CIT/IUCC/DASC/PICOM.2015.220 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-10-26 |
Publisher Place | UK |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Cloud computing Quality of service Computer architecture Hardware Electronic mail workflows Intercloud management Monitoring Business Cloud deployment |
Content Type | Text |
Resource Type | Article |
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