Design challenges on machine-learning enabled resource optimization

Citation:

Karkazis P, Uzunidis D, Trakadas P, Leligou HC. Design challenges on machine-learning enabled resource optimization. IT Professional. 2022;24:69–74.

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National and Kapodistrian University of Athens

Tel: (+30) 222 802 1864
Addr: Psachna, Chalkida, 344 00
Email: ptrakadas@pms.uoa.gr, ptrakadas@uoa.gr
Department: www.pms.uoa.gr

Office No.: B113-3

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Tuesday: 10:00 – 13:00
Thursday: 13:00 – 16:00

Recent Publications

PDPPnet:Prioritized Delay-aware and Peer-to-Peer Task Offloading in Cloud-Edge Continuum with DDDQN
AI/ML-Assisted Threat Detection andMitigation in 6G Networks with Digital Twins: The HORSE Approach
Placing Computational Tasks within Edge-Cloud Continuum: a DRL Delay Minimization Scheme

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Panagiotis Trakadas

Associate Professor, Ports Management

Design challenges on machine-learning enabled resource optimization

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