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Termite inspired algorithm for traffic engineering in hybrid software defined networks [PDF]
PeerJ Computer Science, 2020 In the era of Internet of Things and 5G networks, handling real time network traffic with the required Quality of Services and optimal utilization of network resources is a challenging task.
R Ananthalakshmi Ammal +2 more
doaj +3 more sources
P4 Edge Node Enabling Stateful Traffic Engineering and Cyber Security
IEEE\/OSA Journal of Optical Communications and Networking, 2018 Next-generation edge nodes interfacing innovative IT clusters, 5G fronthaul, and internet of things (IoT) gateways to the optical metro/core network will require advanced and dynamic online quality of service (QoS) per-flow traffic treatment, assuring ...
Francesco Paolucci +5 more
openalex +3 more sources
Traffic engineering in multihomed sites [PDF]
10th IEEE Symposium on Computers and Communications (ISCC'05), 2005 It is expected that IPv6 multihomed sites will obtain as many global prefixes as direct providers they have, so traffic engineering techniques currently used in IPv4 multihomed sites is no longer suitable.
Azcorra, Arturo +4 more
core +6 more sources
Energy-efficient traffic engineering [PDF]
, 2012 The energy consumption in telecommunication networks is expected to grow considerably, especially in core networks. In this chapter, optimization of energy consumption is approached from two directions.
DC Kilper +5 more
core +4 more sources
Early Experiences in Traffic Engineering Exploiting Path Diversity: A Practical Approach [PDF]
, 2008 Recent literature has proved that stable dynamic routing algorithms have solid theoretical foundation that makes them suitable to be implemented in a real protocol, and used in practice in many different operational network contexts.
Muscariello, Luca, Perino, Diego
core +7 more sources
A comprehensive survey on Segment Routing Traffic Engineering
Digit. Commun. Networks, 2022 Duo Wu, Lin Cui
openalex +2 more sources
MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering [PDF]
IEEE Transactions on Cognitive Communications and Networking, 2023 Current trends in networking propose the use of Machine Learning (ML) for a wide variety of network optimization tasks. As such, many efforts have been made to produce ML-based solutions for Traffic Engineering (TE), which is a fundamental problem in ...
Guillermo Bernárdez +7 more
semanticscholar +1 more source
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering [PDF]
Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2022 The rapid expansion of global cloud wide-area networks (WANs) has posed a challenge for commercial optimization engines to efficiently solve network traffic engineering (TE) problems at scale.
Zhiying Xu +5 more
semanticscholar +1 more source
Is Machine Learning Ready for Traffic Engineering Optimization? [PDF]
IEEE International Conference on Network Protocols, 2021 Traffic Engineering (TE) is a basic building block of the Internet. In this paper, we analyze whether modern Machine Learning (ML) methods are ready to be used for TE optimization.
Guillermo Bernárdez +7 more
semanticscholar +1 more source