• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 522 matches

• 2024
• 
  Murat Karakus:
  GATE-BC: Genetic Algorithm-Powered QoS-Aware Cross-Network Traffic Engineering in Blockchain- Enabled SDN. IEEE Access 12: 36523-36545 (2024)
• 
  Zeyu Luan, Qing Li, Yong Jiang, Jingpu Duan, Ruobin Zheng, Dingding Chen, Shaoteng Liu:
  MATE: When multi-agent Deep Reinforcement Learning meets Traffic Engineering in multi-domain networks. Comput. Networks 247: 110399 (2024)
• 
  Xinglong Pei, Penghao Sun, Yuxiang Hu, Dan Li, Bo Chen, Le Tian:
  Enabling efficient routing for traffic engineering in SDN with Deep Reinforcement Learning. Comput. Networks 241: 110220 (2024)
• 
  Hibatul Azizi Hisyam Ng, Toktam Mahmoodi:
  Intelligent Traffic Engineering for 6G Heterogeneous Transport Networks. Comput. 13(3): 74 (2024)
• 
  Shengyu Zhang, Xiaoqian Li, Kwan Lawrence Yeung:
  Segment routing for traffic engineering and effective recovery in low-earth orbit satellite constellations. Digit. Commun. Networks 10(3): 706-715 (2024)
• 
  L. Leo Prasanth, E. Uma:
  A computationally intelligent framework for traffic engineering and congestion management in software-defined network (SDN). EURASIP J. Wirel. Commun. Netw. 2024(1): 63 (2024)
• 
  Jinhong Zhang, Xingwei Wang, Ruixia Li, Bo Yi, Min Huang, Dongxing Shui:
  TEPG: a traffic engineering based power-aware greedy routing algorithm in backbone networks with bundled links. Frontiers Comput. Sci. 18(1): 181502 (2024)
• 
  Martin Slabber, Neco Ventura, Joyce B. Mwangama:
  SDN-Based Multicast Traffic Engineering for Radio Telescope Data Networks. IEEE Netw. Lett. 6(1): 65-69 (2024)
• 
  Hossein Zangoulechi, Shahram Babaie:
  An adaptive traffic engineering approach based on retransmission timeout adjustment for software-defined networks. J. Ambient Intell. Humaniz. Comput. 15(1): 739-750 (2024)
• 
  Yingya Guo, Mingjie Ding, Weihong Zhou, Bin Lin, Cen Chen, Huan Luo:
  MATE: A multi-agent reinforcement learning approach for Traffic Engineering in Hybrid Software Defined Networks. J. Netw. Comput. Appl. 231: 103981 (2024)
• 
  Van An Le, Duc Long Nguyen, Phi Le Nguyen, Yusheng Ji:
  Traffic Engineering in Large-scale Networks via Multi-Agent Deep Reinforcement Learning with Joint-Training. ICCCN 2024: 1-9
• 
  A. G. Buendía-López, F. J. Moreno-Muro, Luis M. Contreras, Jesús Folgueira, P. Pavon:
  An evaluation of Flex-Algo traffic engineering techniques in Segment-Routing networks. ICTON 2024: 1-4
• 
  Makoto Ito, Taiju Mikoshi, Kouichi Genda:
  Planning of Primary and Alternative Path Using Deep Learning Model for Traffic Engineering in Small Networks. IMCOM 2024: 1-4
• 
  Robert Kolakowski, Lechoslaw Tomaszewski, Slawomir Kuklinski:
  On 6G-Enabled SDN-Based Mobile Network User Plane with DRL-Based Traffic Engineering. AIAI Workshops 2024: 124-138
• 
  Alexander Brundiers, Timmy Schüller, Nils Aschenbruck:
  Preprocess your Paths - Speeding up Linear Programming-based Optimization for Segment Routing Traffic Engineering. IFIP Networking 2024: 303-312
• 
  José Gómez-delaHiz, Jaime Galán-Jiménez:
  Improving the Traffic Engineering of SDN networks by using Local Multi-Agent Deep Reinforcement Learning. NOMS 2024: 1-5
• 
  Chen Griner, Chen Avin:
  Integrated Topology and Traffic Engineering for Reconfigurable Datacenter Networks. CoRR abs/2402.09115 (2024)
• 
  Mohammad Sajid Shahriar, Faisal Ahmed, Genshe Chen, Khanh D. Pham, Suresh Subramaniam, Motoharu Matsuura, Hiroshi Hasegawa, Shih-Chun Lin:
  Prioritized Multi-Tenant Traffic Engineering for Dynamic QoS Provisioning in Autonomous SDN-OpenFlow Edge Networks. CoRR abs/2403.15975 (2024)
• 2023
• 
  Mario Minardi:
  Traffic Engineering Algorithms for Software Defined satellite-Terrestrial Networks. University of Luxembourg, Luxembourg City, Luxembourg, 2023
• 
  Aymen Hasan Alawadi:
  Towards Comprehensive and Effectual SDN Traffic Engineering Framework for Data Center Networks. Budapest University of Technology and Economics, Hungary, 2023
• 
  Rohit Kumar, Venkanna U., Vivek Tiwari:
  Optimized traffic engineering in Software Defined Wireless Network based IoT (SDWN-IoT): State-of-the-art, research opportunities and challenges. Comput. Sci. Rev. 49: 100572 (2023)
• 
  Duo Wu, Lin Cui:
  A comprehensive survey on Segment Routing Traffic Engineering. Digit. Commun. Networks 9(4): 990-1008 (2023)
• 
  Mohammed Arafah, Hanan Alhindi, Hassan Mathkour, Mohammed Faisal, Miltiadis D. Lytras:
  Smart systems approach for development of explicit congestion marking and traffic engineering model for Diffserv/MPLS networks. J. Ambient Intell. Humaniz. Comput. 14(12): 15971-15981 (2023)
• 
  Hongbin Cao, Gautam Srivastava:
  An Encryption Transmission System for High-speed Private Data Streams in Online Education in the Specialty of "Traffic Engineering". Mob. Networks Appl. 28(3): 1007-1018 (2023)
• 
  Gazy Abbas, Umar Farooq, Parvinder Singh, Surinder Singh Khurana, Paramjeet Singh:
  Feature Engineering and Ensemble Learning-Based Classification of VPN and Non-VPN-Based Network Traffic over Temporal Features. SN Comput. Sci. 4(5): 546 (2023)
• 
  Tehseen Mazhar, Muhammad Amir Malik, Syed Agha Hassnain Mohsan, Yanlong Li, Inayatul Haq, Sara Ghorashi, Faten Khalid Karim, Samih Mohemmed Mostafa:
  Quality of Service (QoS) Performance Analysis in a Traffic Engineering Model for Next-Generation Wireless Sensor Networks. Symmetry 15(2): 513 (2023)
• 
  Guillermo Bernárdez, José Suárez-Varela, Albert López, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
  MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering. IEEE Trans. Cogn. Commun. Netw. 9(2): 494-506 (2023)
• 
  Shih-Hao Tseng, SooJean Han, Adam Wierman:
  Trading Throughput for Freshness: Freshness-aware Traffic Engineering and In-Network Freshness Control. ACM Trans. Model. Perform. Evaluation Comput. Syst. 8(1-2): 1-26 (2023)
• 
  Minghao Ye, Junjie Zhang, Zehua Guo, H. Jonathan Chao:
  FlexDATE: Flexible and Disturbance-Aware Traffic Engineering With Reinforcement Learning in Software-Defined Networks. IEEE/ACM Trans. Netw. 31(4): 1433-1448 (2023)
• 
  Sheng-Hao Chiang, Chih-Hang Wang, De-Nian Yang, Wanjiun Liao, Wen-Tsuen Chen:
  Distributed Multicast Traffic Engineering for Multi-Domain Software-Defined Networks. IEEE Trans. Parallel Distributed Syst. 34(2): 446-462 (2023)

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