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1 Agence de l-Environnement et de la Maîtrise de l-Energie - ADEME 2 SPIRALS - Self-adaptation for distributed services and large software systems LIFL - Laboratoire d-Informatique Fondamentale de Lille, Inria Lille - Nord Europe 3 LIFL - Laboratoire d-Informatique Fondamentale de Lille 4 University of Neuchâtel

Abstract : Power estimation of software processes provides critical indicators to drive scheduling or power capping heuristics. State-of-the-art power estimation solutions only provide coarse-grained support for power estimation. In this paper, we therefore propose a middleware for assembling and configuring software-defined power meters. Software-defined power meters provide real-time and accurate power estimation of software processes. In particular, our solution automatically learns an application-agnostic power model, which can be used to estimate the power consumption of applications. Our approach, named BitWatts, builds on a distributed actor middleware to collect process usage and infer fine-grained power consumption without imposing any hardware investment e.g., power meters.

Keywords : Power monitoring CPU power model Middleware toolkit





Autor: Maxime Colmant - Mascha Kurpicz - Pascal Felber - Loïc Huertas - Romain Rouvoy - Anita Sobe -

Fuente: https://hal.archives-ouvertes.fr/



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