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An Interference-Aware Strategy for Co-locating High Performance Computing Applications in Clouds

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High Performance Computing Systems (WSCAD 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1171))

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Abstract

Cross-interference may happen when applications share a common physical machine, affecting negatively their performances. This problem occurs frequently when high performance applications are executed in clouds. Some papers of the related literature have considered this problem when proposing strategies for Virtual Machine Placement. However, they neither have employed a suitable method for predicting interference nor have considered the minimization of the number of used physical machines and interference at the same time. In this paper, we present a solution based on the Iterated Local Search framework to solve the Interference-aware Virtual Machine Placement Problem for HPC applications in Clouds (IVMP). This problem aims to minimize, at the same time, the interference suffered by HPC applications which share common physical machines and the number of physical machines used to allocate them. Experiments were conducted in a real scenario by using applications from oil and gas industry and applications from the HPCC benchmark. They showed that our method reduced interference in more than 40%, using the same number of physical machines of the most widely employed heuristics to solve the problem.

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Notes

  1. 1.

    In the context of this work, the amount of access to SLLC and DRAM are measured in terms of millions of references per second (MR/s), while the access to virtual network is expressed as the number of megabytes transmitted per second (MB/s).

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Authors and Affiliations

  1. Fluminense Federal University, Niterói, Brazil

    Maicon Melo Alves, Luan Teylo, Yuri Frota & Lúcia Maria de A. Drummond

  2. Petroleo Brasileiro S. A. - Petrobras, Rio de Janeiro, Brazil

    Maicon Melo Alves

Authors
  1. Maicon Melo Alves
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  2. Luan Teylo
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  3. Yuri Frota
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  4. Lúcia Maria de A. Drummond
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Corresponding author

Correspondence to Maicon Melo Alves .

Editor information

Editors and Affiliations

  1. Mackenzie Presbyterian University, São Paulo, Brazil

    Calebe Bianchini

  2. National Laboratory for Scientific Computing, Rio de Janeiro, Brazil

    Carla Osthoff

  3. University of São Paulo, São Paulo, Brazil

    Paulo Souza

  4. Federal University of Minas Gerais, Belo Horizonte, Brazil

    Renato Ferreira

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Alves, M.M., Teylo, L., Frota, Y., Drummond, L.M.d.A. (2020). An Interference-Aware Strategy for Co-locating High Performance Computing Applications in Clouds. In: Bianchini, C., Osthoff, C., Souza, P., Ferreira, R. (eds) High Performance Computing Systems. WSCAD 2018. Communications in Computer and Information Science, vol 1171. Springer, Cham. https://doi.org/10.1007/978-3-030-41050-6_1

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  • DOI: https://doi.org/10.1007/978-3-030-41050-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41049-0

  • Online ISBN: 978-3-030-41050-6

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