Towards Predictive Self-optimization by Situation Recognition

Sebastian GötzSebastian Götz, René SchöneRené Schöne, Claas WilkeClaas Wilke, Julian MendezJulian Mendez, Uwe AßmannUwe Aßmann

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Sebastian Götz, René Schöne, Claas Wilke, Julian Mendez, Uwe Aßmann
Towards Predictive Self-optimization by Situation Recognition
2nd Workshop EASED@ BUIS 2013, 11, 2013

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KurzfassungAbstract
Abstract: Energy efficiency of software is an increasingly important topic. To achieve energy efficiency, a system should automatically optimize itself to provide the best possible utility to the user for the least possible cost in terms of energy consumption. To reach this goal, the system has to continuously decide whether and how to adapt itself, which takes time and consumes energy by itself. During this time, the system could be in an inefficient state and waste energy. We envision the application of predictive situation recognition to initiate decision making before it is actually needed. Thus, the time of the system being in an inefficient state is reduced, leading to a more energy-efficient reconfiguration.
Forschungsgruppe:Research Group: AutomatentheorieAutomata Theory

@article{ GoScWiMeAs13,
  author = {Sebastian {G{\"o}tz} and Ren{\'e} {Sch{\"o}ne} and Claas {Wilke} and Julian {Mendez} and Uwe {A{\ss}mann}},
  journal = {2nd Workshop EASED@ BUIS 2013},
  pages = {11},
  title = {Towards Predictive Self-optimization by Situation Recognition},
  year = {2013},
}