Edge AI workloads demand low-latency, privacy-compliant storage. CATER delivers, using policy-driven placement to optimize energy, latency, and compliance. Tested on real edge clusters, it cuts data movement by 61%.
🌟 Follow us on LinkedIn! https://www.linkedin.com/company/clever-project/?viewAsMember=true
🌟 Check the updates from the website: www.cleverproject.eu
🌟 Full paper in: https://zenodo.org/records/11029807