A multi-objective optimized service level agreement approach applied on a cloud computing ecosystem
AuthorsAzevedo, Leonildo Jose de Melo de
Estrella, Julio C.
Toledo, Claudia F. Motta
MetadataShow full item record
AbstractThe 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.
CitationDe 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.