"MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient ..."

Kawsar Haghshenas et al. (2022)

> Home

Details and statistics

DOI: 10.1109/TSC.2019.2919555

access: closed

type: Journal Article

metadata version: 2022-02-23

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tsc/HaghshenasPZMA22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tsc/HaghshenasPZMA22
Kawsar Haghshenas, Ali Pahlevan, Marina Zapater, Siamak Mohammadi, David Atienza:
MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers. IEEE Trans. Serv. Comput. 15(1): 30-44 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.