Project Details
Description
The aim of the project is to investigate the use of AI techniques for managing large-scale data storage systems to optimise their energy usage. This involves looking into data placement and migration between different storage system components that utilise different storage technologies, such as spinning disks, solid state, etc. The project is in collaboration with Xyratex.
| Acronym | EEMS |
|---|---|
| Status | Finished |
| Effective start/end date | 1/06/13 → 31/08/14 |
Funding
- Technology Strategy Board: £41,982.00
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Keywords
- Artificial Intelligence
- Embedded Systems
- Machine Learning
- Data Storage
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