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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A Multi-Objective Optimized Service Level Agreement Approach Applied on a Cloud Computing Ecosystem

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Author(s):
de Melo de Azevedo, Leonildo Jose [1] ; Estrella, Julio Cezar [1] ; Motta Toledo, Claudio Fabiano [1] ; Reiff-Marganiec, Stephan [2]
Total Authors: 4
Affiliation:
[1] Univ Sao Paulo, Inst Math & Comp Sci ICMC, BR-13566590 Sao Carlos - Brazil
[2] Univ Derby, Sch Elect Comp & Math, Derby DE22 1GB - England
Total Affiliations: 2
Document type: Journal article
Source: IEEE ACCESS; v. 8, p. 122469-122479, 2020.
Web of Science Citations: 0
Abstract

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. (AU)

FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 15/11623-4 - Development and evaluation of optimization algorithms for the performance of cloud service level agreements
Grantee:Leonildo José de Melo de Azevedo
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 16/14219-2 - An optimization for establishing of service level agreement in cloud computing
Grantee:Leonildo José de Melo de Azevedo
Support Opportunities: Scholarships abroad - Research Internship - Master's degree