EECluster is software tool for managing the energy-efficient allocation of the cluster resources. EECluster uses a Hybrid Genetic Fuzzy System as the decision-making mechanism that elicits part of its rule base dependent on the cluster workload scenario, delivering good compliance with the administrator preferences.
In the latest version, we leverage a more sophisticated and exhaustive model that covers a wider range of environmental aspects and balances service quality and power consumption with all indirect costs, including hardware failures and subsequent replacements, measured in both monetary units and carbon emissions.
This software has been developed by Quantum and High Performance Computing group (QHPC). See https://qhpc.uniovi.es/
Features
- Implententation of the adaptive resource cluster technique to improve energy efficiency in High Performance Computing Clusters
- Compatible with Open Grid Engine/Oracle Grid Engine/Sun Grid Engine resource management systems
- Web-based adminstration dashboard
- Decision-making mechanism based on Hybrid Genetic Fuzzy Systems
- Tuned by means of multiobjective evolutionary algorithms in a machine learning approach to comply with administrator preferences
- Power management through both Ethernet Wake On Lan and IPMI cards
Project Samples
