Energy-Aware Server Provisioning by Introducing Middleware-Level Dynamic Green Scheduling

Daniel Balouek-Thomert 1, 2, * Eddy Caron 2 Laurent Lefèvre 2
* Auteur correspondant
2 AVALON - Algorithms and Software Architectures for Distributed and HPC Platforms
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
Abstract : Several approaches to reduce the power consumption of datacenters have been described in the literature, most of which aim to improve energy efficiency by trading off performance for reducing power consumption. However, these approaches do not always provide means for administrators and users to specify how they want to explore such trade-offs. This work provides techniques for assigning jobs to distributed resources, exploring energy efficient resource provisioning. We use middleware-level mechanisms to adapt resource allocation according to energy-related events and user-defined rules. A proposed framework enables developers, users and system administrators to specify and explore energy efficiency and performance trade-offs without detailed knowledge of the underlying hardware platform. Evaluation of the proposed solution under three scheduling policies shows gains of 25% in energy-efficiency with minimal impact on the overall application performance. We also evaluate reactivity in the adaptive resource provisioning.
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Communication dans un congrès
HPPAC'2015, May 2015, Hyderabad, India. Parallel and Distributed Processing Symposium Workshop (IPDPSW), 2015 IEEE International 〈10.1109/IPDPSW.2015.121〉
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Daniel Balouek-Thomert, Eddy Caron, Laurent Lefèvre. Energy-Aware Server Provisioning by Introducing Middleware-Level Dynamic Green Scheduling. HPPAC'2015, May 2015, Hyderabad, India. Parallel and Distributed Processing Symposium Workshop (IPDPSW), 2015 IEEE International 〈10.1109/IPDPSW.2015.121〉. 〈hal-01196908〉

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