Optimizing Resource Allocation in Hierarchically Distributed Data Centers

  • Rafael Vieira Universidade federal do Pará
  • Carlos André de Mattos Teixeira Universidade Federal do Pará
  • Diego Cardoso Universidade Federal do Pará

Resumo


The current networks infrastructure needs to support the rapidly increasing data traffic. Sophisticated planning approaches must be adopted by the operators so the high number of applications can be managed efficiently. In this work, a resource provisioning model for hierarchically distributed data centers is proposed using Integer Linear Programming (ILP). The objective is to increase the efficiency in the use of computational resources and decrease the overhead in network links. Results show that, the model is able to efficiently accommodate 20% more applications when compared to the First-Fit approach.

Palavras-chave: Redes de Centros de Dados, Alocação de Recursos, Problemas de Otimização

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Publicado
27/08/2019
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VIEIRA, Rafael ; DE MATTOS TEIXEIRA, Carlos André; CARDOSO, Diego . Optimizing Resource Allocation in Hierarchically Distributed Data Centers. In: SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 37. , 2019, Gramado. Anais do XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Porto Alegre: Sociedade Brasileira de Computação, aug. 2019 . p. 556-565. ISSN 2177-9384. DOI: https://doi.org/10.5753/sbrc.2019.7386.