Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/40300
Title: Optimized Service Level Agreement Establishment in Cloud Computing
Authors: de Azevedo, Leonildo J. M.
Estrella, Julio C.
Nakamura, Luis H. V.
Santana, Marcos J.
Santana, Regina H. C.
Toledo, Claudio F. Motta
Batista, Bruno G.
Reiff-Marganiec, Stephan
First Published: 21-Sep-2017
Publisher: Oxford University Press (OUP), BCS, The Chartered Institute for IT
Citation: The Computer Journal, 2017
Abstract: Nowadays, the access to a cloud computing environment is provided on-demand, offering transparent services to clients. Although the cloud allows an abstraction of the behavior of the infrastructure in the service providers (involving logical and physical resources), the Service Level Agreements (SLAs) fulfilment remains a challenge, because depending on the service demand and the system configuration, the providers may not be able to meet the clients requirements. In this way, mechanisms that take account of load balancing and resource provisioning algorithms to provide an efficient load distribution in the available resources are necessary. However, the studies in the literature do not effectively address the problem of the resource provisioning to meet clients requirements using optimization techniques, restricting the analysis to a limited set of objectives. This paper proposes algorithms to address the computational resource provisioning problem using optimization techniques on-the-fly. The techniques optimize the use of the resources available in the cloud infrastructure, aiming to fulfill the clients requirements defined in the SLAs, and ensuring the efficient use of resources.
DOI Link: 10.1093/comjnl/bxx087
ISSN: 0010-4620
eISSN: 1460-2067
Links: https://academic.oup.com/comjnl/article/doi/10.1093/comjnl/bxx087/4210212/Optimized-Service-Level-Agreement-Establishment-in
http://hdl.handle.net/2381/40300
Embargo on file until: 21-Sep-2019
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2017, Oxford University Press (OUP), BCS, The Chartered Institute for IT. Deposited with reference to the publisher’s open access archiving policy.
Description: The file associated with this record is under embargo until 24 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.
Appears in Collections:Published Articles, Dept. of Computer Science

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