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Letteratura scientifica selezionata sul tema "Traffic engineering"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 9 giugno 2025

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Articoli di riviste sul tema "Traffic engineering"

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 (December 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 (June 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 (June 10, 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 (July 22, 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 (January 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 (November 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 (June 7, 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 (December 15, 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 signal systems cannot handle the dynamics of road traffic at the intersections and hence results in exceeding delays. Also, the volume of traffic at any intersection at different times of the day is uncertain and hence it is hard to get an exact mathematical model for this problem. Many researchers have proposed some solution to this problem and their work is reviewed extensively in this paper. Due to its ability to deal with uncertainty, fuzzy logic is considered as the most appropriate technique to solve this problem and is highly recommended method for implementing automated traffic controllers. Due to its inherent advantages, most of the research in the field of traffic engineering is carried out using fuzzy logic techniques. Hence, this paper presents a systematic review of various techniques that are used for an effective management of traffic, especially focusing on different fuzzy based traffic controllers and their performance comparison to identify the best input output parameter.

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

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Tesi sul tema "Traffic engineering"

1

Mortier, Richard Michael. "Internet traffic engineering." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620378.

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2

Lin, Gongqi. "Energy aware traffic engineering." Thesis, Curtin University, 2014. http://hdl.handle.net/20.500.11937/292.

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Over-provisioning of network resources, i.e., routers and links, provides a unique opportunity for energy aware traffic engineering. In the thesis, we design three heuristic approaches, i.e., SSPF, MSPF, and 2DP-SP to solve three proposed green routing problems, i.e., SP-EAR, MP-EAR, and EAR-2DP. Our simulation results show the trade-off between power savings and network performances, i.e., maximum link utilization, path length, and route reliability, when using green routings algorithms.

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3

Fortin, Melanie. "Traffic engineering of narrowband networks." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0018/MQ57726.pdf.

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4

Bagula, Bigomokero Antoine. "Traffic engineering label switched paths." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/53196.

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Thesis (MSc)--Stellenbosch University, 2002.<br>ENGLISH ABSTRACT: The Internet is evolving into a commercial platform requiring enhanced protocols and an expanded physical infrastructure allowing a better delivery from IP. Multi-protocol Label Switching (MPLS) is a technology enabling traffic engineering and virtual private network (VPN) provisioning. MPLS achieves traffic engineering by carrying the traffic over virtual connections called Label Switched Paths (LSPs) which are engineered based on QoS requirements such as delay, jitter and packet loss minimization or throughput maximization. This thesis proposes path finding and traffic distribution methods to be deployed in MPLS networks for traffic engineering LSPs. A flow optimization model based on a pre-planned routing approach separating path finding and traffic distribution is presented. This model is augmented by a threshold routing approach which routes the traffic based on thresholds expressing the maximum load level reached by network links. This routing approach moves the traffic away from thresholdmarked links to achieve low-utilized links/paths. The performance and routing capabilities of these methods are evaluated through designed software. A routing architecture implementing a two-layer signalling model for MPLS network is proposed and evaluated through simulation. v<br>AFRIKAANSE OPSOMMING:Die verandering van die Internet in 'n kommersiele platform met verbeterde protokolle en 'n uitgebreide fisieke infrastruktuur stel die internetprotokol (IP) in staat tot beter lewering. Multiprotokol- etiketskakeling (MPLS), is 'n tegnologie vir die voorsiening van televerkeerbeheer en virtuele privaatnetwerke (VPN). MPLS verskaf televerkeerbeheer deur die verkeer te dra oar virtuele konneksies, wat bekend staan as etiketgeskakelde paaie, waarvan die ontwerp gebaseer is op vereistes vir diensgehalte soos vertraging, ritteling en die minimering van pakketverlies of maksimering van deurvoer. Hierdie tesis stel nuwe padvind- en verkeerdistribusiemetodes voor wat aangewend word in MPLSnetwerke om etiketgeskakelde paaie te beheer. 'n Model vir vloei-optimering-gebaseer op voorafbeplande roetering wat padvinding en verkeerdistribusie skei-word aangebied. Hierdie model word uitgebrei deur 'n benadering van drempelroetering wat die verkeer roeteer en gebaseer is op drempels wat die maksimum ladingsvlak voorstel wat bereik kan word deur netwerkskakels. Hierdie roeteringsbenadering skuif die verkeer weg van drempelgemerkte skakels en bereik daardeur laaggebruikte skakelsjpaaie. Die prestasie en roeteringsvaardigheid van hierdie metodes word gevalueer deur selfontwikkelde programmatuur. 'n Argitektuur vir roetering wat 'n dubbellaagseinmodel implementeer vir 'n MPLS-netwerk, word aangebied en gevalueer met simulasie.

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Fortin, Melanie (Melanie Yvette) Carleton University Dissertation Engineering Systems and Computer. "Traffic engineering of narrowband networks." Ottawa, 2000.

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Warsama, Ahmed. "Traffic Engineering with SDN : Optimising trafﬁc Load-Balancing with OpenFlow". Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39385.

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The advent of trends such as virtualization, cloud computing, IoT and BYOD has increased the traffic loads on modern enterprise and data-center networks. As the requirements on today’s networks increase, newer designs and solutions have sprout forth. Software-Defined Networking was developed to cater to the needs of modern networks and to improve traffic handling among other things. This study focuses on the ways SDN, specifically the OpenFlow standard, can be used to load-balance and increase the network throughput, in comparison to traditional methods such as Equal-Cost Load-Balancing. This was done by creating a test environment with the network emulator Mininet, and by creating load-balancing programs. The load-balancers were created using the OpenFlow protocol. These programs were used together with the Floodlight controller and were compared in the same environment. The results showed that the bandwidth load-balancer outperformed the Equal-Cost Load-Balancer.

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7

Rojanarowan, Jerapong. "MPLS-Based Best-Effort Traffic Engineering." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7496.

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MPLS-Based Best-Effort Traffic Engineering Jerapong Rojanarowan 120 Pages Directed by Dr. Henry L. Owen The objective of this research is to develop a multipath traffic engineering framework for best-effort traffic in Multiprotocol Label Switching (MPLS) networks so as to deliver more equal shares of bandwidth to best-effort users as compared to the traditional shortest-path algorithm. The proposed framework is static and the input to the traffic engineering algorithm is restricted to network topology. Performance evaluation of this framework is conducted by simulation using ns-2 network simulator. In a multi-service capable network, some portion of the bandwidth is reserved for guaranteed services and the leftover portion is dedicated to best-effort service. This research examines the problem of traffic engineering for the remaining network bandwidth that is utilized by best-effort traffic where demands are not known a priori. This framework will result in making the limited available best-effort traffic bandwidth more equitably shared by the best-effort flows over a wide range of demands. Traditional traffic engineering research has not examined best-effort traffic.

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Ikram, Imran. "Traffic Engineering with MPLS and QOS." Thesis, Blekinge Tekniska Högskola, Avdelningen för telekommunikationssystem, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1217.

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In the modern era there exist applications that require very high resources and generate a tremendous amount of traffic so they require considerable amount of bandwidth and QOS to operate and perform correctly. MPLS is a new and a fast technology that offers much remuneration both in terms of providing trouble-free and efficient security together with the high speed of switching. MPLS not only guarantees quality of service of IP networks but in addition to provides scope for traffic engineering it offers many enhanced features of IP networks as it does not replace IP routing, but works along with existing and future routing technologies to provide high-speed data forwarding between label-switched routers (LSRs) together with QOS. Many network carriers are facing the problem of how to accommodate such ever-growing demands for bandwidth. And the static nature of current routing algorithms, such as OSPF or IS-IS, the situation is going even worse since the traffic is concentrated on the "least cost" paths which causes the congestion for some links while leaving other links lightly loaded. Therefore, MPLS traffic engineering is proposed and by taking advantage of MPLS, traffic engineering can route the packets through explicit paths to optimize network resource utilization and traffic performance. MPLS provides a robust quality of service control feature in the internet. MPLS class of service feature can work in accordance with other quality of service architectures for IP networks.

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9

Dahlberg, Anders. "Traffic Engineering in a Bluetooth Piconet." Thesis, Blekinge Tekniska Högskola, Institutionen för telekommunikation och signalbehandling, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5759.

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The Bluetooth technology is still in an early stage of development. Much more research can and will be done before the performance of Bluetooth reaches its peak. During the recent years, ideas to integrate Bluetooth units in larger networks have arose, with the Bluetooth unit in the role as access point to the network. This behavior opens up for new possibilities but also increases the requirements on performance. In this thesis the main topic is improvement of piconet performance. The piconet, with the Master unit as access point, is studied from a teletraffic engineering point of view. Different performance attributes and behaviors have been found and investigated. With the outcome of these investigations in mind, new and more efficient policies and algorithms are proposed for both data and voice. A policy increasing the utilization of available bandwidth in a piconet is presented. Furthermore, a proposal is presented where multiple Bluetooth units are used in an efficient manner to support voice calls. The proposed solution does also enable creation of simple teletraffic models to be used for dimensioning.<br>Phone: +46709138850

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10

Botha, Marlene. "Online traffic engineering for MPLS networks." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50049.

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Thesis (MSc) -- Stellenbosch University, 2004.<br>ENGLISH ABSTRACT: The Internet is fast evolving into a commercial platform that carries a mixture of narrow- and broadband applications such as voice, video, and data. Users expect a certain level of guaranteed service from their service providers and consequently the need exists for efficient Internet traffic engineering to enable better Quality of Service (QoS) capabilities. Multi-protocol Label Switching (MPLS) is a label switching protocol that has emerged as an enabling technology to achieve efficient traffic engineering for QoS management in IP networks. The ability of the MPLS protocol to create explicit virtual connections called Label Switched Paths (LSPs) to carry network traffic significantly enhances the traffic engineering capabilities of communication networks. The MPLS protocol supports two options for explicit LSP selection: offline LSP computation using an optimization method and dynamic route selection where a single node makes use of current available network state information in order to compute an explicit LSP online. This thesis investigates various methods for the selection of explicit bandwidth guaranteed LSPs through dynamic route selection. We address the problem of computing a sequence of optimal LSPs where each LSP can carry a specific traffic demand and we assume that no prior information regarding the future traffic demands are available and that the arrival sequence of LSP requests to the network is unknown. Furthermore, we investigate the rerouting abilities of the online LSP selection methods to perform MPLS failure restoration upon link failure. We propose a new online routing framework known as Least Interference Optimization (LIO) that utilizes the current bandwidth availability and traffic flow distribution to achieve efficient traffic engineering. We present the Least Interference Optimization Algorithm (LIOA) that reduces the interference among competing network flows by balancing the number and quantity of flows carried by a link for the setup of bandwidth guaranteed LSPs in MPLS networks. The LIOA routing strategy is evaluated and compared against well-known routing strategies such as the Minimum Hop Algorithm (MHA), Minimum Interference Routing Algorithm (MIRA), Open Shortest Path First (OSPF) and Constraint Shortest Path First (CSPF) by means of simulation. Simulation results revealed that, for the network topologies under consideration, the routing strategies that employed dynamic network state information in their routing decisions (LIOA, CSPF and MIRA) generally outperformed the routing strategies that only rely on static network information (OSPF and MHA). In most simulation experiments the best performance was achieved by the LIOA routing strategy while the MHA performed the worse. Furthermore we observed that the computational complexity of the MIRA routing strategy does not translate into equivalent performance gains. We employed the online routing strategies for MPLS failure recovery upon link failure. In particular we investigated two aspects to determine the efficiency of the routing strategies for MPLS rerouting: the suitability of the LSP configuration that results due to the establishment of LSPs prior to link failure and the ability of the online routing strategy to reroute failed LSPs upon link failure. Simulation results revealed similar rerouting performance for all online routing strategies under investigation, but a LSP configuration most suitable for online rerouting was observed for the LIOA routing strategy.<br>AFRIKAANSE OPSOMMING:Die Internet is voordurend besig om te evoleer in 'n medium wat 'n wye reeks moderne kommunikasietegnologiee ondersteun, insluitende telefoon, video en data. Internet gebruikers verwag gewaarborgde diens van hul diensverskaffers en daar bestaan dus 'n vraag na doeltreffende televerkeerbeheer vir gewaarborgde Internet diensgehalte. Multiprotokol Etiketskakeling (MPLS) is 'n etiketskakeling protokol wat doeltreffende televerkeerbeheer en diensgehalte moontlik maak deur die eksplisiete seleksie van virtuele konneksies vir die transmissie van netwerkverkeer in Internetprotokol (IP) netwerke. Hierdie virtuele konneksies staan bekend as etiketgeskakelde paaie. Die MPLS protokol ondersteun tans twee moontlikhede vir eksplisiete seleksie van etiketgeskakelde paaie: aflyn padberekening met behulp van optimeringsmetodes en dinamiese aanlyn padseleksie waar 'n gekose node 'n eksplisiete pad bereken deur die huidige stand van die netwerk in ag te neem. In hierdie tesis word verskeie padseleksiemetodes vir die seleksie van eksplisiete bandwydte-gewaarborgde etiketgeskakelde paaie deur mid del van dinamiese padseleksie ondersoek. Die probleem om 'n reeks optimale etiketgeskakelde paaie te bereken wat elk 'n gespesifeerde verkeersaanvraag kan akkommodeer word aangespreek. Daar word aanvaar dat geen informasie in verband met die toekomstige verkeersaanvraag bekend is nie en dat die aankomsvolgorde van etiketgeskakelde pad verso eke onbekend is. Ons ondersoek verder die herroeteringsmoontlikhede van die aanlyn padseleksiemetodes vir MPLS foutrestorasie in die geval van skakelonderbreking. Vir hierdie doel word 'n nuwe aanlyn roeteringsraamwerk naamlik Laagste Inwerking Optimering (LIO) voorgestel. LIO benut die huidige beskikbare bandwydte en verkeersvloeidistribusie van die netwerk om doeltreffende televerkeerbeheer moontlik te maak. Ons beskryf 'n Laagste Inwerking Optimering Algoritme (LIOA) wat die inwerking tussen kompeterende verkeersvloei verminder deur 'n balans te handhaaf tussen die aantal en kwantiteit van die verkeersvloeistrome wat gedra word deur elke netwerkskakel. Die LIOA roeteringstrategie word geevalueer met behulp van simulasie en die resultate word vergelyk met ander bekende roeteringstrategiee insluitende die Minimum Node Algorithme (MHA), die Minimum Inwerking Algoritme (MIRA), die Wydste Kortste Pad Eerste Algoritme (OSPF) en die Beperkte Kortste Pad Eerste Algoritme (CSPF). Die resultate van die simulasie-eksperimente to on dat, vir die netwerk topologiee onder eksperimentasie, die roeteringstratgiee wat roeteringsbesluite op dinamiese netwerk informasie baseer (LIOA, MIRA, CSPF) oor die algemeen beter vaar as die wat slegs staatmaak op statiese netwerkinformasie (MHA, OSPF). In die meeste simulasie-eksperimente vaar die LIOA roeteringstrategie die beste en die MHA roeteringstrategie die slegste. Daar word verder waargeneem dat die komputasiekomplesiteit van die MIRA roeteringstrategie nie noodwendig weerspieel word in die sukses van roeteringsuitkoms nie. In die geval waar die aanlyn roeteringstrategiee aangewend word vir MPLS foutrestorasie, toon die resultate van simulasie-eksperimente dat al die roeteringstrategiee min of meer dieselfde uitkoms lewer ten opsigte van herroetering van onderbreekte verkeersvloei. Die konfigurasie van etiketgeskakelde paaie deur die LIOA roeteringstrategie voor skakelonderbreking is egter die geskikste vir televerkeer herroetering na skakelonderbreking

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Più fonti

Libri sul tema "Traffic engineering"

1

Callegati, Franco, Walter Cerroni, and Carla Raffaelli. Traffic Engineering. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09589-4.

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Salter, R. J. Traffic Engineering. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8.

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S, Prassas Elena, and McShane William R, eds. Traffic engineering. 3rd ed. Upper Saddle River, N.J: Pearson/Prentice Hall, 2004.

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P, Roess Roger, and Prassas Elena S, eds. Traffic engineering. 2nd ed. Upper Saddle River, N.J: Prentice Hall, 1998.

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S, Prassas Elena, and McShane William R, eds. Traffic engineering. 4th ed. Upper Saddle River: Pearson, 2011.

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P, Roess Roger, ed. Traffic engineering. Englewood Cliffs, N.J: Prentice-Hall, 1990.

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Transportation, Montana Dept of. Traffic engineering manual. [Helena, Mont.]: Montana Dept. of Transportation, 2007.

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Pande, Anurag, and Brian Wolshon. Traffic Engineering Handbook. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119174738.

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L, Pline James, and Institute of Transportation Engineers, eds. Traffic engineering handbook. 5th ed. [Washington, D.C.]: Institute of Transportation Engineers, 1999.

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Engineers, Institute of Transportation, ed. Traffic engineering handbook. 6th ed. Washington, DC: Institute of Transportation Engineers, 2008.

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Capitoli di libri sul tema "Traffic engineering"

1

Faruque, Saleh. "Traffic Engineering." In SpringerBriefs in Electrical and Computer Engineering, 49–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99615-8_5.

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Gaylord, Richard J., and Kazume Nishidate. "Traffic Engineering." In Modeling Nature, 25–35. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4684-9405-1_3.

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Weik, Martin H. "traffic engineering." In Computer Science and Communications Dictionary, 1803. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19823.

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Callegati, Franco, Walter Cerroni, and Carla Raffaelli. "Engineering Packet-Switched Networks." In Traffic Engineering, 141–202. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09589-4_5.

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Callegati, Franco, Walter Cerroni, and Carla Raffaelli. "Engineering Circuit-Switched Networks." In Traffic Engineering, 65–139. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09589-4_4.

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Callegati, Franco, Walter Cerroni, and Carla Raffaelli. "Introduction to Teletraffic Engineering." In Traffic Engineering, 1–12. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09589-4_1.

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Mallick, Rajib B., and Tahar El-Korchi. "Traffic." In Pavement Engineering, 97–116. 4th ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/b23274-5.

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Findley, Daniel J. "Traffic Engineering Studies." In Traffic Engineering Handbook, 109–48. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2016. http://dx.doi.org/10.1002/9781119174738.ch4.

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Van Dung, Pham, Marat Zhanikeev, and Yoshiaki Tanaka. "Traffic Trace Engineering." In Management Enabling the Future Internet for Changing Business and New Computing Services, 1–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04492-2_1.

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Bonaventure, O., P. Trimintzios, G. Pavlou, B. Quoitin, A. Azcorra, M. Bagnulo, P. Flegkas, et al. "Internet Traffic Engineering." In Quality of Future Internet Services, 118–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45190-7_4.

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Atti di convegni sul tema "Traffic engineering"

1

Otten, Daniel, and Nils Aschenbruck. "Failure Resilient Green Traffic Engineering." In 2024 IEEE 49th Conference on Local Computer Networks (LCN), 1–9. IEEE, 2024. http://dx.doi.org/10.1109/lcn60385.2024.10639630.

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Singh, Rachee, Nikolaj Bjørner, and Umesh Krishnaswamy. "Traffic engineering." In SOSR '22: The ACM SIGCOMM Symposium on SDN Research. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3563647.3563652.

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3

Chiun Lin Lim and Ao Tang. "Traffic engineering with elastic traffic." In 2013 IEEE Global Communications Conference (GLOBECOM 2013). IEEE, 2013. http://dx.doi.org/10.1109/glocom.2013.6831547.

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4

Roughan, Matthew, Mikkel Thorup, and Yin Zhang. "Traffic engineering with estimated traffic matrices." In the 2003 ACM SIGCOMM conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/948205.948237.

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5

Agrawal, Himanshu, Andrew Jennings, and Mark Gregory. "Robust traffic engineering." In 2008 2nd International Symposium on Advanced Networks and Telecommunication Systems (ANTS). IEEE, 2008. http://dx.doi.org/10.1109/ants.2008.4937808.

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6

Otoshi, Tatsuya, Yuichi Ohsita, Masayuki Murata, Yousuke Takahashi, Keisuke Ishibashi, and Kohei Shiomoto. "Traffic prediction for dynamic traffic engineering considering traffic variation." In 2013 IEEE Global Communications Conference (GLOBECOM 2013). IEEE, 2013. http://dx.doi.org/10.1109/glocom.2013.6831297.

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7

Katoh, Masafumi, Izuru Sato, and Naotoshi Watanabe. "Traffic engineering for IoT." In 2016 International Conference on Information Networking (ICOIN). IEEE, 2016. http://dx.doi.org/10.1109/icoin.2016.7427113.

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8

Lai, Wai Sum. "Traffic engineering for MPLS." In ITCom 2002: The Convergence of Information Technologies and Communications, edited by Robert D. van der Mei and Frank Huebner. SPIE, 2002. http://dx.doi.org/10.1117/12.473396.

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9

Sadler, Jonathan. "Mutli-Layer Traffic Engineering." In National Fiber Optic Engineers Conference. Washington, D.C.: OSA, 2010. http://dx.doi.org/10.1364/nfoec.2010.nthe1.

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10

Frank, Benjamin, Ingmar Poese, Georgios Smaragdakis, Steve Uhlig, and Anja Feldmann. "Content-aware traffic engineering." In the 12th ACM SIGMETRICS/PERFORMANCE joint international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2254756.2254819.

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Rapporti di organizzazioni sul tema "Traffic engineering"

1

Ould-Brahim, H., D. Fedyk, and Y. Rekhter. BGP Traffic Engineering Attribute. RFC Editor, May 2009. http://dx.doi.org/10.17487/rfc5543.

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2

Kompella, K. A Traffic Engineering (TE) MIB. RFC Editor, January 2005. http://dx.doi.org/10.17487/rfc3970.

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3

Meyer, M., ed. MPLS Traffic Engineering Soft Preemption. RFC Editor, January 2010. http://dx.doi.org/10.17487/rfc5712.

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4

Ayyangar, A. Inter-Domain MPLS and GMPLS Traffic Engineering -- Resource Reservation Protocol-Traffic Engineering (RSVP-TE) Extensions. Edited by A. Farrel. RFC Editor, February 2008. http://dx.doi.org/10.17487/rfc5151.

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5

Awduche, D., J. Malcolm, J. Agogbua, M. O'Dell, and J. McManus. Requirements for Traffic Engineering Over MPLS. RFC Editor, September 1999. http://dx.doi.org/10.17487/rfc2702.

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6

Dubuc, M., T. Nadeau, and J. Lang. Traffic Engineering Link Management Information Base. RFC Editor, November 2005. http://dx.doi.org/10.17487/rfc4220.

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7

Li, T., and H. Smit. IS-IS Extensions for Traffic Engineering. RFC Editor, October 2008. http://dx.doi.org/10.17487/rfc5305.

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8

Harrison, J., J. Berger, and M. Bartlett. IPv6 Traffic Engineering in IS-IS. RFC Editor, February 2011. http://dx.doi.org/10.17487/rfc6119.

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9

Giacalone, S., D. Ward, J. Drake, A. Atlas, and S. Previdi. OSPF Traffic Engineering (TE) Metric Extensions. RFC Editor, March 2015. http://dx.doi.org/10.17487/rfc7471.

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10

Awduche, D., A. Chiu, A. Elwalid, I. Widjaja, and X. Xiao. Overview and Principles of Internet Traffic Engineering. RFC Editor, May 2002. http://dx.doi.org/10.17487/rfc3272.

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