Identifying Network Congestion Using Knowledge Graphs and Link Prediction

Author:

Mitropoulou Aikaterini1ORCID,Kokkinos Panagiotis2ORCID,Varvarigos Emmanouel1ORCID

Affiliation:

1. National Technical University of Athens, Athens, Greece

2. University of Peloponnese, Athens, Greece

Funder

European Commission

Publisher

ACM

Reference34 articles.

1. Dynamic resource allocation strategy for latency-critical and computation-intensive applications in cloud–edge environment

2. Edge computing: A survey

3. Sergej Svorobej, Malika Bendechache, Frank Griesinger, and Jörg Domaschka. Orchestration from the Cloud to the Edge, pages 61--77. Springer International Publishing, Cham, 2020.

4. A note on the convergence of iot, edge, and cloud computing in smart cities;Fazio Maria;IEEE Cloud Computing,2018

5. Kostas Christodoulopoulos, Nicola Sambo, Nikolaos Argyris, P Giardina, Giannis Kanakis, Aristotelis Kretsis, Francesco Fresi, Andrea Sgambelluri, Giacomo Bernini, Camille Delezoide, et al. Observe-decide-act: Experimental demonstration of a self-healing network. In Optical Fiber Communication Conference, pages M3A-7. Optical Society of America, 2018.

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