Project Details

Description

With growth in the data centre market expected to continue, the cost of operating and maintaining the data centre footprint will increase. The aim of AutoDC is to provide an innovative design framework for autonomous data centres to enable ongoing operation and self-healing independent of contextual interference, e.g. intermittent power failure or overheating, without the need for any human intervention. Due to lower maintenance and operation costs, autonomous data centres can become key enablers of markets in developing countries.
Short titleAutoDC
AcronymAutonomous datacenter for long term deployment
StatusFinished
Effective start/end date2018/12/012021/10/06

Collaborative partners

UKÄ subject classification

  • Control Engineering
  • Computer Systems
  • Adaptive Control of Data Center Cooling using Deep Reinforcement Learning

    Heimerson, A., Sjölund, J., Brännvall, R., Gustafsson, J. & Eker, J., 2022 Nov 4, 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C). p. 1-6

    Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

    File
    20 Downloads (Pure)
  • A Proactive Cloud Application Auto-Scaler using Reinforcement Learning

    Heimerson, A., Eker, J. & Årzén, K-E., 2022, (E-pub ahead of print) UCC '22: Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing.

    Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

    Open Access
    File
    11 Downloads (Pure)
  • Towards a Holistic Controller: Reinforcement Learning for Data Center Control

    Heimerson, A., Brännvall, R., Sjölund, J., Eker, J. & Gustafsson, J., 2021 Jun 28, e-Energy '21: Proceedings of the Twelfth ACM International Conference on Future Energy Systems. p. 424–429

    Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

    Open Access
    File
    81 Downloads (Pure)