posted on 2017-08-31, 14:48authored byLeonildo J. M. de Azevedo, Julio C. Estrella, Luis H. V. Nakamura, Marcos J. Santana, Regina H. C. Santana, Claudio F. Motta Toledo, Bruno G. Batista, Stephan Reiff-Marganiec
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.
Funding
Authors would like to thank the financial support from
CNPq, CAPES and FAPESP (processes IDs: 11/12670-
5, 15/11623-4 and 16/14219-2) for funding the bulk of
this research project.
History
Citation
The Computer Journal, 2017
Author affiliation
/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Computer Science
Version
AM (Accepted Manuscript)
Published in
The Computer Journal
Publisher
Oxford University Press (OUP), BCS, The Chartered Institute for IT
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