Optimización energética de centros de datos aprovechando el conocimiento de la aplicación y los recursos

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October 15, 2013

Optimización energética de centros de datos aprovechando el conocimiento de la aplicación y los recursos

Talk “Advances in Electronic Systems Engineering” seminar, within the M.Sc. in Electronic Systems Engineering (MISE), to present the session on Energy Optimization in Data Centers.

Speech title: Energy efficiency beyond PUE: exploiting knowledge about application and resources

Abstract: The current techniques for data center energy optimization, based on efficiency metrics like PUE, pPUE, ERE, DCcE, etc., do not take into account the static and dynamic characteristics of the applications and resources (computing and cooling). However, the knowledge about the current state of the data center, the past history, the resource characteristics, and the characteristics of the jobs to be executed can be used very effectively to guide decision-making at all levels in the datacenter in order to minimize energy needs. For example, the allocation of jobs on the available machines, if done taking into account the most appropriate architecture for each job from the energetic point of view, and taking into account the type of jobs that will come later, can reduce energy needs by 30%.
Moreover, to achieve significant reductions in energy consumption of state-of-the-art data centers (low PUE) is becoming increasingly important a comprehensive and multi-level approach, ie, acting on different abstraction levels (scheduling and resource allocation, application, operating system, compilers and virtual machines, architecture, and technology), and at different scopes (chip, server, rack, room, and multi-room).

Date and Time: Tuesday, October 15, 2013, 16:00, room B-221

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GreenLSI

October 15, 2013
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