Embedded Energy Management System (EEMS)
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Embedded Energy Management System (EEMS)
CoPED ID
a52dd21e-9edd-4d8d-a615-b05a5051a3f0
Status
Closed
Value
£492,655
Start Date
May 31, 2013
End Date
Aug. 31, 2014
Description
This feasibility study is looking at energy efficiency in data centres. Our work will consist of two phases. The first will use data science and AI techniques to accurately extract useful information to model how the data centre uses energy.
The second phase will learn the impact of high energy events in the data centre and issue commands to reduce energy usage by rescheduling certain parts of data flow.
Not only will this minimise energy usage but it will also maximise reliability and performance.
| XYRATEX TECHNOLOGY LIMITED | LEAD_ORG |
| University of Portsmouth | PARTICIPANT_ORG |
| XYRATEX TECHNOLOGY LIMITED | PARTICIPANT_ORG |
| THE UNIVERSITY OF MANCHESTER | PARTICIPANT_ORG |
| UNIVERSITY OF PORTSMOUTH | PARTICIPANT_ORG |
No people listed.
Subjects by relevance
- Energy efficiency
- Energy consumption (energy technology)
- Energy
- Data centres
Extracted key phrases
- Embedded Energy Management System
- Feasibility study
- Energy efficiency
- Energy usage
- High energy event
- Data centre
- EEMS
- Datum flow
- Data science
- Second phase
- Certain part