SESAMES: A Smart-Grid Based Framework for Consuming Less and Better in Extreme-Scale Infrastructures

As they will gather hundreds of million cores, future exascale supercomputers will consume enormous amounts of energy. Besides being very important, their power consumption will be dynamic and irregular. Thus, in order to consume energy efficiently, powering such systems will require a permanent negotiation between the energy supplier and one of its major customers represented by exascale platforms. In this paper, we present SESAMES, a smart and energy-aware service-oriented architecture manager that proposes energy-efficient services for exascale applications and provides an optimized reservation scheduling. The paper focuses on the new features of this framework which are the design of a smart grid and a multi-criteria green job scheduler. Simulation results show that with the proposed multi-criteria job scheduler, we are able to save up to 2.32 % in terms of energy consumption, 24.22 % in terms of financial cost and reduce up to 7.12 % the emissions of CO2.