Design Space Exploration of Heterogeneous Systems Applied to the Cloud Resource Allocation Problem

  • Danillo C. A. Arigoni UFMS
  • Ricardo Ribeiro dos Santos UFMS
  • Liana D. Duenha Garanhani UFMS

Resumo


Cloud computing services providers offer on-demand computing resources to applications. Finding the best cloud resource allocation that fits the users’ budget, meets application performance and constraints are still a research challenge. The cloud resource allocation problem is quite akin to the Design Space Exploration (DSE) problem once they both have to find suitable hardware configurations in an ample design space, having incompatible objectives subject to several constraints. This work presents a solution to the cloud resource allocation problem by applying a design space exploration technique. We have designed and developed a software extension, MultiExplorer-VM, from a DSE tool, MultiExplorer, that has a workflow to provide virtual machine configurations according to the users’ requirements and application constraints. A comprehensive set of experiments has been performed to evaluate and validate the proposed tool. We have also compared solutions from our proposal to other existing research work focused on the cloud resource allocation problem based on the Paramount Interaction (PI) technique. The results show that the MultiExplorer-VM achieves significant (better) results than the PI technique. The cost results brought by the MultiExplorer-VM were up to 8.8 times lower compared to the PI technique. The experiments also reveal that for most of the applications, MultiExplorer-VM achieved the optimal cloud configuration.

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Publicado
19/10/2022
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ARIGONI, Danillo C. A.; SANTOS, Ricardo Ribeiro dos; GARANHANI, Liana D. Duenha. Design Space Exploration of Heterogeneous Systems Applied to the Cloud Resource Allocation Problem. In: SIMPÓSIO EM SISTEMAS COMPUTACIONAIS DE ALTO DESEMPENHO (WSCAD), 23. , 2022, Florianópolis/SC. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 169-180. DOI: https://doi.org/10.5753/wscad.2022.226347.