A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem
Journal article
Authors | Azevedo, Leonildo Jose de Melo de, Estrella, Julio C., Toledo, Claudia F. Motta and Reiff-Marganiec, Stephan |
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Abstract | The cloud ecosystem provides transformative advantages that allow elastically offering ondemand services. However, it is not always possible to provide adequate services to all customers and thus to fulfill service level agreements (SLA). To enable compliance with these agreements, service providers leave the customer responsible for determining the service settings and expect that the client knows what to do. Some studies address SLA compliance, but the existing works do not adequately address the problem of resource allocation according to clients’ needs since they consider a limited set of objectives to be analyzed |
Keywords | Cloud Computing Ecosystem; Metaheuristics; Multi-Objective Optimisation; SLA; QoS |
Year | 2020 |
Journal | IEEE Access |
Publisher | IEEE |
ISSN | 2169-3536 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ACCESS.2020.3006171 |
Web address (URL) | http://hdl.handle.net/10545/624961 |
hdl:10545/624961 | |
Publication dates | 30 Jun 2020 |
Publication process dates | |
Deposited | 09 Jul 2020, 08:08 |
Accepted | 24 Jun 2020 |
Contributors | University of São Paulo (USP), São Carlos, SP, Brazil and University of Derby |
File | File Access Level Open |
File | File Access Level Open |
https://repository.derby.ac.uk/item/92787/a-multi-objective-optimized-service-level-agreement-approach-applied-on-a-cloud-computing-ecosystem
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