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Autonomic power management with self-healing in server clusters under QoS constraints

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Abstract

The increasing use of server clusters has made their energy consumption an important issue. To address it, several power management techniques are being developed. In order to be useful, these techniques must address the performance and availability implications of reducing energy consumption. This paper presents a power management technique that maintains the quality of service (QoS) levels specified with service level agreements expressed as a threshold for a percentile of the response time. In addition, it provides self-healing by identifying when servers fail and automatically provisioning new servers. The technique is based on balancing the load so that it is concentrated in a small number of servers. For this, it only requires two utilization thresholds and models of performance and power consumption for the application executed in the server. It works in heterogeneous servers and provides overload protection. Several experiments carried out on a prototype show that the technique reduces energy consumption (up to 57.59 % compared to an always-on policy) while providing self-healing and maintaining the QoS.

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Authors and Affiliations

  1. Department of Informatics, University of Oviedo, Campus de Viesques, 33204, Gijón, Spain

    Joaquín Entrialgo, Ramón Medrano, Daniel Fernando García & Javier García

Authors
  1. Joaquín Entrialgo
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  2. Ramón Medrano
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  3. Daniel Fernando García
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  4. Javier García
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Correspondence to Joaquín Entrialgo.

Additional information

This research has been partially supported by the Project TIN2008-06045-C02-01 of the Spanish National Plan for Research, Development and Innovation.

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Entrialgo, J., Medrano, R., García, D.F. et al. Autonomic power management with self-healing in server clusters under QoS constraints. Computing 98, 871–894 (2016). https://doi.org/10.1007/s00607-015-0477-2

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