A Generic Learning Multi-agent-System Approach for Spatio-Temporal-, Thermal- and Energy-Aware Scheduling

Christina Herzog, Jean-Marc Pierson
2018 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)  
A generic learning multi-agentsystem approach for spatio-temporal-, thermal-and energy-aware scheduling. Abstract-This paper proposes an agent based approach to the scheduling of jobs in datacenters under thermal constraints. The model encompasses both temporal and spatial aspects of the temperature evolution using a unified model, taking into account the dynamics of heat production and dissipation. Agents coordinate to eventually move jobs to the best suitable place and to adapt dynamically
more » ... dapt dynamically the frequency settings of the nodes to the best combination. Several objectives of the agents are compared under different circumstances by an extensive set of experiments.
doi:10.1109/pdp2018.2018.00010 dblp:conf/pdp/HerzogP18 fatcat:xzyb35t6tveabihegu7b237ifi