Results 11 to 20 of about 3,598,857 (362)
Lying Your Way to Better Traffic Engineering [PDF]
Conference on Emerging Network Experiment and Technology, 2016 To optimize the flow of traffic in IP networks, operators do traffic engineering (TE), i.e., tune routing-protocol parameters in response to traffic demands.
Chiesa Marco +6 more
core +2 more sources
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
CFR-RL: Traffic Engineering With Reinforcement Learning in SDN [PDF]
IEEE Journal on Selected Areas in Communications, 2020 Traditional Traffic Engineering (TE) solutions can achieve the optimal or near-optimal performance by rerouting as many flows as possible. However, they do not usually consider the negative impact, such as packet out of order, when frequently rerouting ...
Member Ieee Junjie Zhang +4 more
semanticscholar +1 more source
On Deep Reinforcement Learning for Traffic Engineering in SD-WAN
IEEE Journal on Selected Areas in Communications, 2021 The demand for reliable and efficient Wide Area Networks (WANs) from business customers is continuously increasing. Companies and enterprises use WANs to exchange critical data between headquarters, far-off business branches and cloud data centers.
S. Troia +3 more
semanticscholar +1 more source
ARROW: restoration-aware traffic engineering
Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2021 Fiber cut events reduce the capacity of wide-area networks (WANs) by several Tbps. In this paper, we revive the lost capacity by reconfiguring the wavelengths from cut fibers into healthy fibers.
Zhizhen Zhong +5 more
semanticscholar +1 more source
A brief analysis on the embodiment of practical teaching module of undergraduate financial Management major in talent cultivation scheme Take Xi’an traffic engineering institute for example [PDF]
E3S Web of Conferences, 2020 The talent training scheme is the basis and principles for the implementation of professional personnel training, each college has a suitable environment around the professional orientation, students and the talent training scheme, this paper takes xi ...
Liu Xiaoli +3 more
doaj +1 more source
Collaborate or Compete? Time-Varying Incentives versus Tolling in Parallel Bottleneck
Journal of Advanced Transportation, 2023 Incentive-based traffic demand management (IBTDM) schemes redistribute traffic demand across space and time. The relationship between IBTDM and traditional tolling programs impacts financial sustainability and decision making of both programs. This study
Lin Xiao +4 more
doaj +1 more source
Solving Load Balancing Problems in Routing and Limiting Traffic at the Network Edge
Applied Sciences, 2023 This study focuses on creating and investigating models that optimize load balancing in communication networks by managing routing and traffic limitations. The purpose is to use these models to optimize the network’s routing and traffic limitations while
Alexander Barkalov +4 more
doaj +1 more source
Journal of Advanced Transportation, 2021 On-board data of detected vehicles play a critical role in the management of urban road traffic operation and the estimation of traffic status. Unfortunately, due to limitations of technology and privacy issues, the sampling frequency of the detected ...
Jiantao Mu +4 more
doaj +1 more source