A Multi-Objective Optimized Service Level Agreement Approach Applied on a Cloud Computing Ecosystem
The cloud ecosystem provides transformative advantages that allow elastically offering on-demand 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 provider...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9129701/ |
| _version_ | 1818616738141437952 |
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| author | Leonildo Jose de Melo de Azevedo Julio Cezar Estrella Claudio Fabiano Motta Toledo Stephan Reiff-Marganiec |
| author_facet | Leonildo Jose de Melo de Azevedo Julio Cezar Estrella Claudio Fabiano Motta Toledo Stephan Reiff-Marganiec |
| author_sort | Leonildo Jose de Melo de Azevedo |
| collection | DOAJ |
| description | The cloud ecosystem provides transformative advantages that allow elastically offering on-demand 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. |
| first_indexed | 2024-12-16T16:54:34Z |
| format | Article |
| id | doaj.art-80c0c07ccbc14102b886ad7468de4bda |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T16:54:34Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-80c0c07ccbc14102b886ad7468de4bda2022-12-21T22:23:55ZengIEEEIEEE Access2169-35362020-01-01812246912247910.1109/ACCESS.2020.30061719129701A Multi-Objective Optimized Service Level Agreement Approach Applied on a Cloud Computing EcosystemLeonildo Jose de Melo de Azevedo0https://orcid.org/0000-0002-1286-3108Julio Cezar Estrella1https://orcid.org/0000-0003-0524-3274Claudio Fabiano Motta Toledo2https://orcid.org/0000-0003-4776-8052Stephan Reiff-Marganiec3https://orcid.org/0000-0001-6456-7063Institute of Mathematics and Computer Sciences (ICMC), University of São Paulo (USP), São Carlos, BrazilInstitute of Mathematics and Computer Sciences (ICMC), University of São Paulo (USP), São Carlos, BrazilInstitute of Mathematics and Computer Sciences (ICMC), University of São Paulo (USP), São Carlos, BrazilSchool of Electronics, Computing and Mathematics, University of Derby, Derby, U.K.The cloud ecosystem provides transformative advantages that allow elastically offering on-demand 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.https://ieeexplore.ieee.org/document/9129701/Cloud computing ecosystemmetaheuristicsmulti-objective optimizedSLAQoS |
| spellingShingle | Leonildo Jose de Melo de Azevedo Julio Cezar Estrella Claudio Fabiano Motta Toledo Stephan Reiff-Marganiec A Multi-Objective Optimized Service Level Agreement Approach Applied on a Cloud Computing Ecosystem IEEE Access Cloud computing ecosystem metaheuristics multi-objective optimized SLA QoS |
| title | A Multi-Objective Optimized Service Level Agreement Approach Applied on a Cloud Computing Ecosystem |
| title_full | A Multi-Objective Optimized Service Level Agreement Approach Applied on a Cloud Computing Ecosystem |
| title_fullStr | A Multi-Objective Optimized Service Level Agreement Approach Applied on a Cloud Computing Ecosystem |
| title_full_unstemmed | A Multi-Objective Optimized Service Level Agreement Approach Applied on a Cloud Computing Ecosystem |
| title_short | A Multi-Objective Optimized Service Level Agreement Approach Applied on a Cloud Computing Ecosystem |
| title_sort | multi objective optimized service level agreement approach applied on a cloud computing ecosystem |
| topic | Cloud computing ecosystem metaheuristics multi-objective optimized SLA QoS |
| url | https://ieeexplore.ieee.org/document/9129701/ |
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