Towards unattended operation
for edge computing
DC-AIops
This is a three-phase project aiming to advance datacenter operations by means of AI and robotics. Phase 1 and phase 2 have been funded by Spanish Ministry of Industry, Commerce and Tourism and by European Union throuh the Recovery and Resilience Plan.
Phase 1
Improve visibilityAEI-010500-2022b-214
Monitorization
& Predictive
Analysis
Artificial intelligence to improve visibility and develop understanding: predictive analysis system and continuous optimization of cooling consumption with a minimum of non-intrusive sensors and automatic detection of anomalies.
Phase 2
Improve automationAEI-010500-2023-167
Automation
with CDPR
Artificial intelligence to automate: cable-driven parallel robot for continuous monitoring and and automate the operation.
Phase 3
Improve collaborationNot yet funded
Collaborate
to save
Collaboration between edge data centers to improve resource utilization and take advantage of opportunities (e.g. low-cost energy from renewables).
Funding
Grants:
AEI-010500-2022b-214
AEI-010500-2023-167
About DC-AIops
Project
The DC-AIOPS project aims to solve current problems for automated and efficient operation of Edge Computing infrastructures, using artificial intelligence. As we apply data-driven strategies, we focus on optimizing energy consumption (main cost of operation). Allows a faster and more sustainable start-up of services such as IIoT and Industry 4.0, smart cities, personalized medicine or connected vehicles, significant reduction in consumption, greater operational efficiency and significant improvement in the use of resources.
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Consortium
