Abstract | ||
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The demand of low latency applications has fostered interest in edge computing, a recent paradigm in which data is processed locally, at the edge of the network. The challenge of delivering services with low-latency and high bandwidth requirements has seen the flourishing of Software-Defined Networking (SDN) solutions that utilize ad-hoc data-driven statistical learning solutions to dynamically st... |
Year | DOI | Venue |
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2020 | 10.1109/TNSM.2020.2980899 | IEEE Transactions on Network and Service Management |
Keywords | DocType | Volume |
Routing,Bandwidth,Prediction algorithms,Edge computing,Real-time systems,Computer architecture,Machine learning | Journal | 17 |
Issue | ISSN | Citations |
2 | 1932-4537 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alessio Sacco | 1 | 9 | 3.52 |
Flavio Esposito | 2 | 170 | 37.09 |
Guido Marchetto | 3 | 86 | 20.64 |