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Articoli di riviste sul tema "Traffic engineering"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 25 luglio 2025

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1

Otoshi, Tatsuya, Yuichi Ohsita, Masayuki Murata, Yousuke Takahashi, Keisuke Ishibashi, and Kohei Shiomoto. "Traffic prediction for dynamic traffic engineering." Computer Networks 85 (July 2015): 36–50. http://dx.doi.org/10.1016/j.comnet.2015.05.001.

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2

Marbukh, Vladimir. "Robust traffic engineering." ACM SIGMETRICS Performance Evaluation Review 30, no. 3 (2002): 17–19. http://dx.doi.org/10.1145/605521.605529.

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3

Hendling, K., G. Franzl, and K. Bengi. "Internet traffic engineering." e & i Elektrotechnik und Informationstechnik 121, no. 6 (2004): 239–42. http://dx.doi.org/10.1007/bf03055356.

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4

Roughan, Matthew, Mikkel Thorup, and Yin Zhang. "Performance of estimated traffic matrices in traffic engineering." ACM SIGMETRICS Performance Evaluation Review 31, no. 1 (2003): 326–27. http://dx.doi.org/10.1145/885651.781080.

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5

Zhang, Dengyin, Zhiyun Tang, and Ruchuan Wang. "Automatic Traffic Balance Algorithm Based on Traffic Engineering." Journal of Network and Systems Management 14, no. 3 (2006): 317–25. http://dx.doi.org/10.1007/s10922-006-9034-9.

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6

Uhlig, Steve, and Olivier Bonaventure. "Implications of Interdomain Traffic Characteristics on Traffic Engineering." European Transactions on Telecommunications 13, no. 1 (2002): 23–32. http://dx.doi.org/10.1002/ett.4460130104.

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7

Retvari, G., and T. Cinkler. "Practical OSPF Traffic Engineering." IEEE Communications Letters 8, no. 11 (2004): 689–91. http://dx.doi.org/10.1109/lcomm.2004.837629.

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8

Frank, Benjamin, Ingmar Poese, Georgios Smaragdakis, Steve Uhlig, and Anja Feldmann. "Content-aware traffic engineering." ACM SIGMETRICS Performance Evaluation Review 40, no. 1 (2012): 413–14. http://dx.doi.org/10.1145/2318857.2254819.

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9

Singh, Amarpreet, Sandeep Singh, and Alok Aggarwal. "ADAPTIVE TRAFFIC SYSTEM CONTROLLERS IN TRAFFIC ENGINEERING : A SURVEY." Suranaree Journal of Science and Technology 30, no. 3 (2023): 010224. http://dx.doi.org/10.55766/sujst-2023-03-e03030.

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Abstract (sommario):
In today’s era, traffic congestion is the widest spread problem observed all over the world, arising as consequence of exponential rise in vehicle count at the traffic intersections. This growth has largely affected the people as they are experiencing enhanced delay in travelling time and increased fuel consumption which led to wastage of billions of dollars. The current road infrastructure design and traffic signal controlling using a cycle of fixed time phase of green/red/yellow lights are not adequate to tackle the rising demands of traffic in an optimum way. These traditional traffic signa
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10

Dasgupta, Sukrit, Jaudelice C. de Oliveira, and J. P. Vasseur. "Dynamic traffic engineering for mixed traffic on international networks." Computer Networks 52, no. 11 (2008): 2237–58. http://dx.doi.org/10.1016/j.comnet.2008.04.005.

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11

Abbasi, Mohammad Reza, Ajay Guleria, and Mandalika S. Devi. "Traffic Engineering in Software Defined Networks: A Survey." Journal of Telecommunications and Information Technology, no. 4 (December 30, 2016): 3–14. http://dx.doi.org/10.26636/jtit.2016.4.757.

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An important technique to optimize a network and improve network robustness is traffic engineering. As traffic demand increases, traffic engineering can reduce service degradation and failure in the network. To allow a network to adapt to changes in the traffic pattern, the research community proposed several traffic engineering techniques for the traditional networking architecture. However, the traditional network architecture is difficult to manage. Software Defined Networking (SDN) is a new networking model, which decouples the control plane and data plane of the networking devices. It pro
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12

Hussein, Hatim S. "Multipath Bandwidth Capacity Allocation and MPLS Internet Traffic Engineering." Journal of Advances in Computer Networks 3, no. 3 (2015): 239–42. http://dx.doi.org/10.7763/jacn.2015.v3.174.

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13

Otoshi, Tatsuya, Yuichi Ohsita, Masayuki Murata, et al. "Hierarchical Model Predictive Traffic Engineering." IEEE/ACM Transactions on Networking 26, no. 4 (2018): 1754–67. http://dx.doi.org/10.1109/tnet.2018.2850377.

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14

Zheng Wang. "Internet traffic engineering [Guest Editorial]." IEEE Network 14, no. 2 (2000): 10. http://dx.doi.org/10.1109/mnet.2000.826366.

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15

Ali, M., G. Chiruvolu, An Ge, and Alcatel. "Traffic engineering in metro ethernet." IEEE Network 19, no. 2 (2005): 10–17. http://dx.doi.org/10.1109/mnet.2005.1407693.

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16

Skabardonis, Alexander. "Microcomputer Applications in Traffic Engineering." Journal of Transportation Engineering 112, no. 1 (1986): 1–14. http://dx.doi.org/10.1061/(asce)0733-947x(1986)112:1(1).

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17

Zarrillo, Marguerite L. "Traffic Engineering Handbook (Fifth Edition)." Journal of Transportation Engineering 127, no. 2 (2001): 178–79. http://dx.doi.org/10.1061/(asce)0733-947x(2001)127:2(178.2).

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18

Truong Dinh, Khoa, Sławomir Kukliński, Tomasz Osiński, and Jacek Wytrębowicz. "Heuristic traffic engineering for SDN." Journal of Information and Telecommunication 4, no. 3 (2020): 251–66. http://dx.doi.org/10.1080/24751839.2020.1755528.

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19

MacGregor, M. H., W. D. Grover, and U. M. Maydell. "The self-traffic-engineering network." Canadian Journal of Electrical and Computer Engineering 18, no. 2 (1993): 47–58. http://dx.doi.org/10.1109/cjece.1993.6592815.

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20

Kawahara, Ryoichi, Noriaki Kamiyama, Tatsuya Mori, and Haruhisa Hasegawa. "Traffic Engineering Using Overlay Network." NTT Technical Review 8, no. 9 (2010): 19–24. http://dx.doi.org/10.53829/ntr201009le1.

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21

Hendrickson, Chris, and Larry Rilett. "Traffic Simulation and Transportation Engineering." Journal of Transportation Engineering, Part A: Systems 143, no. 12 (2017): 01817002. http://dx.doi.org/10.1061/jtepbs.0000091.

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22

Poese, Ingmar, Benjamin Frank, Georgios Smaragdakis, Steve Uhlig, Anja Feldmann, and Bruce Maggs. "Enabling content-aware traffic engineering." ACM SIGCOMM Computer Communication Review 42, no. 5 (2012): 21–28. http://dx.doi.org/10.1145/2378956.2378960.

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23

Elwalid, Anwar, Cheng Jin, Steven Low, and Indra Widjaja. "MATE: multipath adaptive traffic engineering." Computer Networks 40, no. 6 (2002): 695–709. http://dx.doi.org/10.1016/s1389-1286(02)00308-0.

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24

Swallow, G. "MPLS advantages for traffic engineering." IEEE Communications Magazine 37, no. 12 (1999): 54–57. http://dx.doi.org/10.1109/35.809385.

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25

Feamster, Nick, Jay Borkenhagen, and Jennifer Rexford. "Guidelines for interdomain traffic engineering." ACM SIGCOMM Computer Communication Review 33, no. 5 (2003): 19–30. http://dx.doi.org/10.1145/963985.963988.

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26

Mortier, R. M. "Multi-timescale Internet traffic engineering." IEEE Communications Magazine 40, no. 10 (2002): 125–31. http://dx.doi.org/10.1109/mcom.2002.1039867.

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27

Quoitin, B., C. Pelsser, L. Swinnen, O. Bonaventure, and S. Uhlig. "Interdomain traffic engineering with BGP." IEEE Communications Magazine 41, no. 5 (2003): 122–28. http://dx.doi.org/10.1109/mcom.2003.1200112.

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28

Wolch, Thomas E. "The State of Traffic Engineering." Journal of Professional Issues in Engineering Education and Practice 137, no. 4 (2011): 208–10. http://dx.doi.org/10.1061/(asce)ei.1943-5541.0000062.

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29

Guo, Yingya, Zhiliang Wang, Xia Yin, Xingang Shi, and Jianping Wu. "Traffic engineering in hybrid SDN networks with multiple traffic matrices." Computer Networks 126 (October 2017): 187–99. http://dx.doi.org/10.1016/j.comnet.2017.07.008.

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30

Amrizal, Amrizal, Pagit Juni S Br Tarigan, and Egi Pramono. "Traffic Engineering At The Kim Ii Roundabout." International Journal of Science, Technology & Management 5, no. 2 (2024): 358–66. http://dx.doi.org/10.46729/ijstm.v5i2.981.

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Abstract (sommario):
As the manager of the industrial area, currently PT. KIM has problems related to traffic jams that occur around the KIM roundabout and to reduce the number of traffic accidents at KIM due to collisions between vehicles from opposite directions, it is necessary to carry out traffic engineering in the area. Traffic engineering is related to the implementation of repair work Roundabouts are not only road construction improvements but also include traffic engineering before, during and after construction. Simulation of traffic conditions to provide alternative solutions to traffic problems that oc
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31

Yu, Yi Fan, Yong Li, and De Peng Jin. "Dynamical Traffic Engineering in Software-Defined Network." Applied Mechanics and Materials 610 (August 2014): 954–58. http://dx.doi.org/10.4028/www.scientific.net/amm.610.954.

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Abstract (sommario):
Software-Defined Networks (SDN), as newly proposed network architecture, has a great potential in optimizing network traffics. In SDN, the control plane is separated from the data plane. With the help of the centralized controller, we can gather information of the network in real time. In this work, we propose a practical two-stage approach for traffic engineering that takes advantages of SDN. The approach not only assures every newly injected flow gets a suitable route that does not have too much payload on it, but also schedules the overall flows so that they are distributed more equally in
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32

Guo, Qi, Dan Li, and Qing Fang. "Study on the Environmental Impact Assessment Index of Traffic Engineering Based on the Low Carbon Economy Perspective." Advanced Materials Research 599 (November 2012): 206–10. http://dx.doi.org/10.4028/www.scientific.net/amr.599.206.

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Abstract (sommario):
The traffic engineering environment impact assessment generally considered the influence on environment of traffic engineering operation stage only, relatively ignored the influence on environment of traffic engineering construction stage and demolition stage. This paper gives comprehensive analysis on the influence on environment of traffic engineering at the view of the whole life cycle of traffic engineering. That is considering the influence on environment of materiel production stage, processing stage, engineering construction stage and demolition stage. The traffic engineering environmen
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33

Hailan, Ahmad M., and Hisham Alshaheen. "Survey of Traffic Engineering Solution for Telecommunication Network Optimization." Tikrit Journal of Engineering Sciences 31, no. 2 (2024): 128–37. https://doi.org/10.25130/tjes.31.2.12.

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Abstract (sommario):
Telecommunication network operators face many challenges, including network congestion, service quality, and network reliability. This study explores a solution that may mitigate these challenges. The suggested traffic engineering solutions for telecommunication network optimization are a comprehensive review of various traffic engineering techniques and tools used to optimize the performance of telecommunication networks. The survey analyzes the principles of Quality of Service (QoS), Traffic Engineering (TE), and Network Planning and Optimization (NPO). These principles aim to find acceptabl
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34

SATAKE, Kodai, Tatsuya OTOSHI, Yuichi OHSITA, and Masayuki MURATA. "Traffic Engineering and Traffic Monitoring in the Case of Incomplete Information." IEICE Transactions on Communications E102.B, no. 1 (2019): 111–21. http://dx.doi.org/10.1587/transcom.2018ebp3049.

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35

Duan, Ming Lei, Qiang Xiao, Jin Quan Yang, Cong Liu, Li Jun Wang, and Xue Mei Cui. "Traffic Engineering Product Chromaticity Testing Software Development." Applied Mechanics and Materials 416-417 (September 2013): 1987–92. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.1987.

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Abstract (sommario):
Traffic engineering products have two major functions: to guild and indicate signals, they can directly affect drivers vision and mind, its chromaticity characteristics are important parameters index, also those products are the significant parts of active safety. The current traffic engineering products chromaticity test depends on people to trace points in the printed paper to judge whether the parameter is qualified or not. According to the defects, the author developed a set of chromaticity test softwares about traffic engineering products, aiming to improve measurement accuracy and test e
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36

K Aneja, Kawalpreet. "Traffic Light Reporter for Genome Engineering." Acta Scientific Microbiology 3, no. 9 (2020): 27–28. http://dx.doi.org/10.31080/asmi.2020.03.0672.

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37

KAMIYAMA, Noriaki, Yousuke TAKAHASHI, Keisuke ISHIBASHI, et al. "Effective Flow Aggregation for Traffic Engineering." IEICE Transactions on Communications E98.B, no. 10 (2015): 2049–59. http://dx.doi.org/10.1587/transcom.e98.b.2049.

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38

Khan, Mohsin. "MPLS Traffic Engineering in ISP Network." International Journal of Computer Applications 59, no. 4 (2012): 23–32. http://dx.doi.org/10.5120/9536-3972.

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39

Pande, Anurag, and Joe Grimes. "Traffic Engineering in a Hybrid Format." Transportation Research Record: Journal of the Transportation Research Board 2211, no. 1 (2011): 18–26. http://dx.doi.org/10.3141/2211-03.

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40

Pereira, Vitor, Miguel Rocha, and Pedro Sousa. "Traffic Engineering With Three-Segments Routing." IEEE Transactions on Network and Service Management 17, no. 3 (2020): 1896–909. http://dx.doi.org/10.1109/tnsm.2020.2993207.

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41

Liu, Hongqiang Harry, Srikanth Kandula, Ratul Mahajan, Ming Zhang, and David Gelernter. "Traffic engineering with forward fault correction." ACM SIGCOMM Computer Communication Review 44, no. 4 (2015): 527–38. http://dx.doi.org/10.1145/2740070.2626314.

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42

Feldmann, A., A. Greenberg, C. Lund, N. Reingold, and J. Rexford. "NetScope: traffic engineering for IP networks." IEEE Network 14, no. 2 (2000): 11–19. http://dx.doi.org/10.1109/65.826367.

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43

Sharma, Abhigyan, Arun Venkataramani, and Ramesh K. Sitaraman. "Distributing content simplifies ISP traffic engineering." ACM SIGMETRICS Performance Evaluation Review 41, no. 1 (2013): 229–42. http://dx.doi.org/10.1145/2494232.2465764.

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44

Suri, Subhash, Marcel Waldvogel, Daniel Bauer, and Priyank Ramesh Warkhede. "Profile-based routing and traffic engineering." Computer Communications 26, no. 4 (2003): 351–65. http://dx.doi.org/10.1016/s0140-3664(02)00154-8.

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45

Roughan, Matthew, and Yin Zhang. "GATEway: symbiotic inter-domain traffic engineering." Telecommunication Systems 47, no. 1-2 (2010): 3–17. http://dx.doi.org/10.1007/s11235-010-9298-y.

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46

Tizghadam, Ali, and Alberto Leon-Garcia. "Autonomic traffic engineering for network robustness." IEEE Journal on Selected Areas in Communications 28, no. 1 (2010): 39–50. http://dx.doi.org/10.1109/jsac.2010.100105.

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47

Quoitin, B., S. Tandel, S. Uhlig, and O. Bonaventure. "Interdomain traffic engineering with redistribution communities." Computer Communications 27, no. 4 (2004): 355–63. http://dx.doi.org/10.1016/j.comcom.2003.08.008.

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48

Leduc, G., H. Abrahamsson, S. Balon, et al. "An open source traffic engineering toolbox." Computer Communications 29, no. 5 (2006): 593–610. http://dx.doi.org/10.1016/j.comcom.2005.06.010.

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49

Moreno, Eduardo, Alejandra Beghelli, and Filippo Cugini. "Traffic engineering in segment routing networks." Computer Networks 114 (February 2017): 23–31. http://dx.doi.org/10.1016/j.comnet.2017.01.006.

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50

Le Gall, Pierre. "Packetized traffic engineering for new services." Computer Networks and ISDN Systems 20, no. 1-5 (1990): 425–33. http://dx.doi.org/10.1016/0169-7552(90)90053-u.

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