Research output per year
Research output per year
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 title | AutoDC |
|---|---|
| Acronym | Autonomous datacenter for long term deployment |
| Status | Finished |
| Effective start/end date | 2018/12/01 → 2021/10/06 |
Collaborative partners
- Lund University
- Ericsson AB
- RISE SICS AB (lead)
Subject classification (UKÄ)
- Control Engineering
- Computer Systems
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Learning to Control the Cloud
Heimerson, A., 2023 Oct 31, Department of Automatic Control, Faculty of Engineering LTH, Lund University. 182 p.Research output: Thesis › Doctoral Thesis (monograph)
Open AccessFile303 Downloads (Pure) -
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. 1-6Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
File240 Downloads (Pure) -
A Proactive Cloud Application Auto-Scaler using Reinforcement Learning
Heimerson, A., Eker, J. & Årzén, K.-E., 2022, UCC '22: Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing. p. 213-220 8 p.Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
File77 Downloads (Pure)