Title
RoPE: An Architecture for Adaptive Data-Driven Routing Prediction at the Edge
Abstract
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
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 Sacco193.52
Flavio Esposito217037.09
Guido Marchetto38620.64