A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem
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Authors
Azevedo, Leonildo Jose de Melo deEstrella, Julio C.
Toledo, Claudia F. Motta
Reiff-Marganiec, Stephan
Issue Date
2020-06-30
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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 and fulfilled. In previous work, we have already addressed the problem considering a single-objective approach. In that work, we identified that the problem has a multi-objective characteristic since several attributes simultaneously influence the SLA agreement, which can lead to conflicts. This paper proposes a multi-objective combinatorial optimization approach for computational resources provisioning, seeking to optimize the efficient use of the infrastructure and provide the client with greater flexibility in contract closure.Citation
De Azevedo, L.J.D.M., Estrella, J.C., Toledo, C.F.M. and Reiff-Marganiec, S., (2020). 'A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem.' IEEE Access, pp. 1-11.Publisher
IEEEJournal
IEEE AccessDOI
10.1109/ACCESS.2020.3006171Additional Links
https://ieeexplore.ieee.org/abstract/document/9129701Type
ArticleLanguage
enEISSN
2169-3536ae974a485f413a2113503eed53cd6c53
10.1109/ACCESS.2020.3006171