Forskningsoutput per år
Forskningsoutput per år
Projektinformation
Beskrivning
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.
| Kort titel | AutoDC |
|---|---|
| Akronym | Autonomous datacenter for long term deployment |
| Status | Slutfört |
| Gällande start-/slutdatum | 2018/12/01 → 2021/10/06 |
Samarbetspartner
- Lunds universitet
- Ericsson AB
- RISE SICS AB (huvudsaklig)
Ämnesklassifikation (UKÄ)
- Reglerteknik
- Datorsystem
-
Learning to Control the Cloud
Heimerson, A., 2023 okt. 31, Department of Automatic Control, Faculty of Engineering LTH, Lund University. 182 s.Forskningsoutput: Avhandling › Doktorsavhandling (monografi)
Öppen tillgångFil422 Nedladdningar (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). s. 1-6Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
Fil576 Nedladdningar (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. s. 213-220 8 s.Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
Fil138 Nedladdningar (Pure)