Abstract: Agent-based modelling is becoming a common technique for studying complex phenomenon in diverse fields including sociology, economics and biology.
This work investigated two schemes for reducing simulation power demands using The Game of Life as a representative simulation: a) event-driven computation ...
Agent-based modelling is becoming a common technique for studying complex phenomenon in diverse fields including sociology, economics and biology.
Agent-based modelling is becoming a common technique for studying complex phenomenon in diverse fields including sociology, economics and biology.
Fingerprint. Dive into the research topics of 'Power-aware Computing for Multi-Agent systems'. Together they form a unique fingerprint.
In high-performance systems, power-aware design techniques aim to maximize performance under power dissipation and power consumption constraints—the ...
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May 16, 2020 · The proposed model compares and eliminates the issues faced by the existing model by implementing the multi agent-based power aware technique ...
We propose a multi-agent reinforcement learning-based method, named MRDF, combining DVFS and dynamic fan control to achieve a trade-off between power ...
An Efficient Power Aware Algorithm for Optimizing Energy Consumption of Cloud Resources Using Multi Agent Model ... Computing, Hypervisor, Cloud Power Energy Mode ...
Dec 15, 2022 · A novel model-free multi-agent deep reinforcement learning (MADRL)-based multi-building control algorithm is proposed to achieve building-side and grid-level ...