Multi-objective Analysis of Power Consumption and Quality of Service in Datacenters for Effective Demand Response

This article presents a multi-objective optimization approach aimed at minimizing the power consumption while mitigating the quality of service degradation in datacenter operations. The study holds significant relevance for datacenter and supercomputing facilities to effectively participate in the electricity market, especially in demand response events. The research explores an on/off energy-aware strategy combined with five list scheduling heuristics, comparing their efficacy to solve the proposed operation problem. The obtained results demonstrate that the proposed approach provides decision-makers a diverse set of options tailored to their specific business needs in different situations. The comparative analysis reveals that strategies that prioritize recently arrived tasks with a high probability of being completed on time, computed better solutions in scenarios where larger power consumption reductions are requested. The proposed heuristics are useful methods to assist datacenter operators for participating in demand response programs.