ICOMF: Towards a Multi-cloud Ecosystem for Dynamic Resource Composition and Scaling
Data(s) |
02/12/2013
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Resumo |
Modern cloud-based applications and infrastructures may include resources and services (components) from multiple cloud providers, are heterogeneous by nature and require adjustment, composition and integration. The specific application requirements can be met with difficulty by the current static predefined cloud integration architectures and models. In this paper, we propose the Intercloud Operations and Management Framework (ICOMF) as part of the more general Intercloud Architecture Framework (ICAF) that provides a basis for building and operating a dynamically manageable multi-provider cloud ecosystem. The proposed ICOMF enables dynamic resource composition and decomposition, with a main focus on translating business models and objectives to cloud services ensembles. Our model is user-centric and focuses on the specific application execution requirements, by leveraging incubating virtualization techniques. From a cloud provider perspective, the ecosystem provides more insight into how to best customize the offerings of virtualized resources. |
Formato |
application/pdf |
Identificador |
http://boris.unibe.ch/43862/1/antonescu2.pdf Oprescu, Ana-Maria; Antonescu, Alexandru-Florian; Demchenko, Yuri; Laat, Cees de (2 December 2013). ICOMF: Towards a Multi-cloud Ecosystem for Dynamic Resource Composition and Scaling. In: Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on 1 (pp. 49-55). IEEE 10.1109/CloudCom.2013.14 <http://dx.doi.org/10.1109/CloudCom.2013.14> doi:10.7892/boris.43862 info:doi:10.1109/CloudCom.2013.14 urn:isbn:978-0-7695-5095-4 |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://boris.unibe.ch/43862/ |
Direitos |
info:eu-repo/semantics/restrictedAccess |
Fonte |
Oprescu, Ana-Maria; Antonescu, Alexandru-Florian; Demchenko, Yuri; Laat, Cees de (2 December 2013). ICOMF: Towards a Multi-cloud Ecosystem for Dynamic Resource Composition and Scaling. In: Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on 1 (pp. 49-55). IEEE 10.1109/CloudCom.2013.14 <http://dx.doi.org/10.1109/CloudCom.2013.14> |
Palavras-Chave | #000 Computer science, knowledge & systems |
Tipo |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion PeerReviewed |