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Traffic engineering eye diagram [PDF]
Second IEEE Consumer Communications and Networking Conference, 2005. CCNC. 2005, 2005 It is said that a picture is worth a thousand words - this statement also applies to networking topics. Thus, to effectively monitor network performance we need tools which present the performance metrics in a graphical way which is also clear and informative.
Martin Collier
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Dividing the Traffic Matrix to Approach Optimal Traffic Engineering [PDF]
2006 14th IEEE International Conference on Networks, 2006 In this paper we propose a new method to approach optimal Traffic Engineering routing. The method consists of dividing the traffic matrix into N sub-matrices, called strata, and route each of these independently. We propose two di erent implementations of our method in routers.
Simon Balon, Guy Leduc
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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
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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
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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
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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
Traffic engineering with elastic traffic [PDF]
2013 IEEE Global Communications Conference (GLOBECOM), 2013 In the network layer, an internet service provider controls the traffic across an autonomous system by load balancing via traffic engineering and by varying the offered traffic of the users via feedback signals. In the transport layer, users send traffic into the network using the TCP protocol, which adjusts offered traffic according to the received ...
Ao Tang, Chiun Lin Lim
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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
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Internet Traffic Engineering [PDF]
, 2003 Traffic engineering encompasses a set of techniques that can be used to control the flow of traffic in data networks. We discuss several of those techniques that have been developed during the last few years. Some techniques are focused on pure IP networks while others have been designed with emerging technologies for scalable Quality of Service (QoS ...
Bonaventure, Olivier +13 more
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Implications of Interdomain Traffic Characteristics on Traffic Engineering [PDF]
European Transactions on Telecommunications, 2002 AbstractWe study the interdomain traffic as seen by a non‐transit ISP, based on a six days trace covering all the interdomain links of this ISP. Our analysis considers the relationships between the interdomain traffic and the interdomain topology. We first discuss the day‐to‐day stability of the interdomain traffic matrix to evaluate the feasibility of
Steve Uhlig, Olivier Bonaventure
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