Academic literature on the topic 'Telecommunication - Traffic - Management'

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Journal articles on the topic "Telecommunication - Traffic - Management"

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Hellendoorn, Hans, and Rudolf Seising. "Fuzzy Traffic Management for Modern Telecommunications." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 06, no. 02 (April 1998): 189–99. http://dx.doi.org/10.1142/s0218488598000173.

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We describe applications of fuzzy logic in the area of broadband telecommunication networks. Call Admission Control (CAC) and Usage Parameter Control (UPC) play an important role in the traffic management of ATM networks (Asynchronous Transfer Mode). We present "fuzzy solutions" for this control tasks and we show their success by presenting simulation results and heuristic valuations.
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Jiang, Shi Bao, Chuan Feng Bai, and Cui Feng Du. "Traffic Forecast Based on Empirical Mode Decomposition and RBF Neural Network." Advanced Materials Research 846-847 (November 2013): 1270–73. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1270.

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Traffic analysis and forecast are the classic topics of telecommunication research, as they provide strategic ground to address the issues such as mobile networks traffic jam, network coverage planning design, marketing management etc. On the basis of the empirical mode decomposition theory and methods, this article first implements multi-scale analysis of the time series of traffic, then it goes on to executes RBF neural network based on the different compositions, and finally reach the forecast expectation of voice traffics of selected base stations.
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Rodriguez-Hernandez, Miguel A., Zhuhan Jiang, Angel Gomez-Sacristan, and Vicent Pla. "Intelligent Municipal Heritage Management Service in a Smart City: Telecommunication Traffic Characterization and Quality of Service." Wireless Communications and Mobile Computing 2019 (February 7, 2019): 1–10. http://dx.doi.org/10.1155/2019/8412542.

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The monitoring of cultural heritage is becoming common in cities to provide heritage preservation and prevent vandalism. Using sensors and video cameras for this task implies the need to transmit information. In this paper, the teletraffic that cameras and sensors generate is characterized and the transmissions’ influence on the municipal communications network is evaluated. Then, we propose models for telecommunication traffic sources in an intelligent municipal heritage management service inside a smart sustainable city. The sources were simulated in a smart city scenario to find the proper quality of service (QoS) parameters for the communication network, using Valencia City as background. Specific sensors for intelligent municipal heritage management were selected and four telecommunication traffic sources were modelled according to real-life requirements and sensors datasheet. Different simulations were performed to find the proper CIR (Committed Information Rate) and PIR (Peak Information Rate) values and to study the effects of limited bandwidth networks. Packet loss, throughput, delay, and jitter were used to evaluate the network’s performance. Consequently, the result was the selection of the minimum values for PIR and CIR that ensured QoS and thus optimized the traffic telecommunication costs associated with an intelligent municipal heritage management service.
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Monakhov, Yury M., Anna P. Kuznetsova, and Maria R. Ismailova. "Traffic queue management algorithm for availability control in telecommunication networks." Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes 15, no. 3 (2019): 385–96. http://dx.doi.org/10.21638/11701/spbu10.2019.308.

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Monakhov, Yury M., Anna P. Kuznetsova, and Maria R. Ismailova. "Traffic queue management algorithm for availability control in telecommunication networks." Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes 15, no. 3 (2019): 385–96. http://dx.doi.org/10.21638/11702/spbu10.2019.308.

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Han, Ke. "Framework for Real-Time Traffic Management with Case Studies." Transportation Research Record: Journal of the Transportation Research Board 2658, no. 1 (January 2017): 35–43. http://dx.doi.org/10.3141/2658-05.

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This paper focuses on real-time traffic management facilitated by modern telecommunication technologies and advanced real-time optimization algorithms. The discussion begins with a recent European project that provides a real-time decision support system for the reduction of traffic congestion and emissions. The workflow and techniques involved therein are explained and issues and potential gaps identified. A more generic real-time decision-making framework based on decision rules and distributionally robust optimization is then introduced. The paper illustrates the wide applicability and unique advantages of such a framework with case studies on responsive signal control, use of an adaptive variable message sign, and air traffic management.
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COWARD, ANDREW, TOM GEDEON, and WILLIAM KENWORTHY. "APPLICATION OF THE RECOMMENDATION ARCHITECTURE TO TELECOMMUNICATIONS NETWORK MANAGEMENT." International Journal of Neural Systems 11, no. 04 (August 2001): 323–27. http://dx.doi.org/10.1142/s0129065701000783.

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The recommendation architecture has been proposed as a system architecture which can enable a system to learn to perform a complex combination of interrelated functions. The capability of a system with the recommendation architecture to learn to manage complex telecommunication backbone networks has been investigated. A network model with a number of nodes and links and carrying realistic but randomly generated traffic was used as the target for the management system. Traffic data taken from the model was used as input to the recommendation architecture system. The traffic data was organized into inputs once every 5 minutes, and the management system organized these inputs into a hierarchy of repetition similarity. It was demonstrated that the outputs of this hierarchy provided information on the condition of the network. This output information was a compressed version of the inputs which correlated with major network conditions.
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.., Abedallah Z., Rasha .., and William Thompson. "Multi-attribute decision-making method for prioritizing autonomous vehicles in real-time traffic management: towards active sustainable transport." International Journal of Wireless and Ad Hoc Communication 3, no. 2 (2022): 91–101. http://dx.doi.org/10.54216/ijwac.030204.

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In order to alleviate traffic congestion, traffic control systems are an important tool. These systems strive to boost the efficiency of road systems to optimize traffic flow on individual road segments. The benefits of real-time traffic control systems might be increased by integrating new telecommunication and autonomous car technology. There is six real-time traffic advancing sustainable development examined in this study: variable message signs and ramp meters, traffic diversion, and the integration of driverless vehicles into other traffic management systems, with four key criteria: economics, community and social, ecologic and traffic security, as well as 13 sub-criteria using MCDM. To do this, we offer unique additions to the WASPAS technique.
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Wu, Xinyun, Zhipeng Lü, and Fred Glover. "A matheuristic for a telecommunication network design problem with traffic grooming." Omega 90 (January 2020): 102003. http://dx.doi.org/10.1016/j.omega.2018.11.012.

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Ramadža, Ines, Vesna Pekić, and Julije Ožegović. "Network Performance Criteria for Telecommunication Traffic Types driven by Quality of Experience." Journal of communications software and systems 15, no. 3 (September 15, 2019): 233–44. http://dx.doi.org/10.24138/jcomss.v15i3.738.

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A common reason for changing the chosen service provider is the users' perception of service. Quality of Experience (QoE) describes the end user's perception of service while using it. A frequent cause of QoE degradation is inadequate traffic routing, where, other than throughput, selected routes do not satisfy minimum network requirements for the given service or services. In order to enable QoE-driven routing, per traffic type defined routing criteria are required. Our goal was to obtain those criteria for relevant services of a telecom operator. For the purpose of identifying services of interest, we first provide short results of user traffic analysis within the telecom operator network. Next, our work presents testbed measurements which explore the impact of packet loss and delay on user QoE for video, voice, and management traffic. For video services, we investigated separately multicast delivery, unicast HTTP Live Streaming (HLS), and unicast Real Time Streaming Protocol (RTSP) traffic. Applying a threshold to QoE values, from the measured dependencies we extracted minimum network performance criteria for the investigated different types of traffic. Finally, we provide a comparison with results available in the literature on the topic.
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Dissertations / Theses on the topic "Telecommunication - Traffic - Management"

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Su, Ching-fong. "Efficient traffic management based on deterministically constrained traffic flows /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Zhang, Tong. "Improving the performance of a traffic data management system." Ohio : Ohio University, 1999. http://www.ohiolink.edu/etd/view.cgi?ohiou1175198741.

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Che, Hao. "Measurement-based traffic modeling and network resource management /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Sang, Aimin. "Measurement-based traffic management for QoS guarantee in multi-service networks." Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3033587.

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Li, Frank Yong. "Quality of Service, Traffic Conditioning and Resource Management in Universal Mobile Telecommunication System (UMTS)." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-304.

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The successful deployment of Universal Mobile Telecommunication System (UMTS) is heavily dependent on Quality of Service (QoS) to be achieved. This thesis addresses a few facets of the QoS issues in UMTS, including traffic shaping and policing, conformance consistency, Call Admission Control (CAC) and resource allocation.

The main focus of this thesis is traffic conditioning related issues for QoS provisioning in UMTS. Assuming an end-to-end QoS scenario supported by IntServ or/and Diffserv architectures, the thesis initially presents an all nodes traffic conditioning-enabled framework in UMTS. Under this framework, the traffic generated at each User Equipment (UE) is regulated by a traffic shaper in the form of a token bucket, and the conformance of the traffic flow is policed at the policing node. The performance of imposing traffic shaping at the UE is studied and compared with the case without shaping. Next, having observed that the performance of the traffic conditioned system is sensitive to the values of the token bucket parameters, the thesis proposes a heuristic approach for searching local and global QoS-aware token bucket parameters. By tuning the system operating at the obtained ’optimal’ shaping parameters, the requirements for all concerned QoS attributes are guaranteed. Furthermore, the thesis studies conformance consistency in a traffic conditioned multi-hop network, by monitoring the conformance status of a traffic flow using an identical token bucket for both traffic shaping and policing. In the presence of variable packet size, the thesis gives a quantitative result, for a simple case, on how much percent of the originally conformant packets may misbehave at further policing node(s). The performance of the aggregated traffic flows and the measures to minimize the effect of conformance deterioration are also studied in the thesis.

Another facet of the QoS issues in UMTS, CAC together with resource allocation, is also studied in the thesis. A priority-oriented framework for QoS management of multimedia services in UMTS is proposed. Based on a traffic class priority definition, the framework is implemented through a priority-oriented CAC, channel congestion control and adaptive bandwidth allocation.

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Chim, Tat-wing, and 詹達榮. "Novel algorithms to improve internet traffic distribution management." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29798322.

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Anjali, Tricha. "DiffServ/MPLS Network Design and Management." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5191.

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The MultiProtocol Label Switching (MPLS) framework is used in many networks to provide efficient load balancing which distributes the traffic for efficient Quality of Service (QoS) provisioning in the network. If the MPLS framework is combined with Differentiated Services (DiffServ) architecture, together they can provide aggregate-based service differentiation and QoS. The combined use of DiffServ and MPLS in a network is called DiffServ-aware Traffic Engineering (DS-TE). Such DiffServ-based MPLS networks demand development of efficient methods for QoS provisioning. In this thesis, an automated manager for management of these DiffServ-based MPLS networks is proposed. This manager, called Traffic Engineering Automated Manager (TEAM), is a centralized authority for adaptively managing a DiffServ/MPLS domain and it is responsible for dynamic bandwidth and route management. TEAM is designed to provide a novel and unique architecture capable of managing large scale MPLS/DiffServ domains without any human interference. TEAM constantly monitors the network state and reconfigures the network for efficient handling of network events. Under the umbrella of TEAM, new schemes for Label Switched Path (LSP) setup/teardown, traffic routing, and network measurement are proposed and evaluated through simulations. Also, extensions to include Generalized MPLS (GMPLS) networks and inter-domain management are proposed.
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Zhao, Qi. "Towards Ideal Network Traffic Measurement: A Statistical Algorithmic Approach." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19821.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2008.
Committee Chair: Xu, Jun; Committee Member: Ammar, Mostafa; Committee Member: Feamster, Nick; Committee Member: Ma, Xiaoli; Committee Member: Zegura, Ellen.
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Meempat, Gopalakrishnan. "Modeling and adaptive resource management in integrated communication networks." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184843.

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The focus of this dissertation is the development of resource management schemes for integrated networks, with the major contributions being: (i) the development of an optimal adaptive buffer management scheme for the packet-switched subsystem, (ii) the integration of a moveable-boundary hybrid switching scheme with the time assigned speech interpolation technique for implementing a congestion control mechanism for the packet-switched subsystem, and (iii) the development of an adaptive hierarchical scheme for implementing the access control and routing functions within the circuit-switched subsystem. The problem of buffer management at an integrated network node is formulated as a nonlinear programming problem with a convex objective function and an interative solution technique with fast convergence is proposed for a real-time implementation of the buffer management scheme in practical environments. In order to exercise an additional degree of control over the packet-blocking probability at each hybrid-switched link within the network, a new multiplexing scheme based on the integration of the moveable-boundary hybrid switching scheme and the time assigned speech interpolation technique is presented in this dissertation. The tradeoff between the corresponding decrease in the packet blocking probability and the increase in the circuit freezeout fraction is demonstrated by a detailed queueing analysis of the multiplexer. Specific algorithms are also presented in this dissertation for the solution of the access control and routing problems within the circuit-switched subsystem. In particular, an access control scheme is developed by solving an integer programming problem formulated using the policy of complete partitioning of the available bandwidth among the competing user classes. As an alternative to the completely partitioned approach, the problem of traffic routing is considered in a network that supports homogeneous traffic classes based on the policy of complete sharing. Finally, for the general case of networks with heterogeneous traffic classes, a hierarchical scheme is developed for the implementation of the access control and the routing functions at two functional levels, where the access control is implemented by the network supervisor who solves an appropriate linear integer programming problem periodically, and the routing function is handled by the individual nodes of the network on a distributed basis. (Abstract shortened with permission of author.)
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Lai, Chengdi, and 賴成迪. "Systematic design of internet congestion control : theory and algorithms." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206356.

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The Internet is dynamically shared by numerous flows of data traffic. Network congestion occurs when the aggregate flow rate persistently exceeds the network capacity, leading to excessive delivery delay and loss of user data. To control network congestion, a flow needs to adapt the sending rate to its inferred level of congestion, and a packet switch needs to report its local level of congestion. In this framework of Internet congestion control, it is important for flows to react promptly against congestion, and robustly against interfering network events resembling congestion. This is challenging due to the highly dynamic interactions of various network components over a global scale. Prior approaches rely predominantly on empirical observations in experiments for constructing and validating designs. However, without a careful, systematic examination of all viable options, more efficient designs may be overlooked. Moreover, experimental results have limited applicability to scenarios beyond the specific experimental settings. In this thesis, I employ a novel, systematic design approach. I formalize the design process of Internet congestion control from a minimal set of empirical observations. I prove the robustness and optimality of the attained design in general settings, and validate these properties in practical experimental settings. First, I develop a systematic method for enhancing the robustness of flows against interfering events resembling congestion. The class of additive-increase-multiplicative-decrease (AIMD) algorithms in Transmission Control Protocol (TCP) is the set of dominant algorithms governing the flow rate adaptation process. Over the present Internet, packet reordering and non-congestive loss occur frequently and are misinterpreted by TCP AIMD as packet loss due to congestion. This leads to underutilization of network resources. With a complete, formal characterization of the design space of TCP AIMD, I formulate designing wireless TCP AIMD as an optimal control problem over this space. The derived optimal algorithm attains a significant performance improvement over existing enhancements in packet-level simulation. Second, I propose a novel design principle, known as pricing-link-by-time (PLT), that specifies how to set the measure of congestion, or “link price”, at a router to provide prompt feedback to flows. Existing feedback mechanisms require sophisticated parameter tuning, and experience drastic performance degradation with improperly tuned parameters. PLT makes parameter tuning a simple, optional process. It increases the link price as the backlog stays above a threshold value, and resets the price once the backlog goes below the threshold. I prove that such a system exhibits cyclic behavior that is robust against changes in network environment and protocol parameters. Moreover, changing the threshold value can control delay without undermining system performance. I validate these analytical results using packet-level simulation. The incremental deployment of various enhancements have made Internet congestion control highly heterogeneous. The final part of the thesis studies this issue by analyzing the competition among flows with heterogeneous robustness against interfering network events. While rigorous theories have been a major vehicle for understanding system designs, the thesis involves them directly in the design process. This systematic design approach can fully exploit the structural characteristics, and lead to generally applicable, effective solutions.
published_or_final_version
Electrical and Electronic Engineering
Doctoral
Doctor of Philosophy
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Books on the topic "Telecommunication - Traffic - Management"

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LAN traffic management. New York: Prentice Hall, 1994.

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Georg, Schlüchtermann, ed. IP-traffic theory and performance. Berlin: Springer, 2008.

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Kung, H. T. Traffic management for high-speed networks. Washington, D.C: National Academy Press, 1997.

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Ajay, Simha, ed. Traffic engineering with MPLS. Indianapolis, Ind: Cisco, 2002.

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Norman, Lawrie, and Peterson Magnus, eds. Tariffs, traffic and performance: The management of cost effective telecommunications services. London: Comm Ed, 1988.

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Assembly, International Telegraph and Telephone Consultative Committee Plenary. Red book.: Network management, traffic engineering : recommendations E.401-E.600. Geneva: International Telecommunication Union, 1985.

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Internet measurement: Infrastructure, traffic, and applications. Chichester, UK: John Wiley & Sons, Ltd, 2007.

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Anura, Gurugé, and Lindgren Lisa, eds. Communications systems management handbook. Boca Raton, FL: Auerbach, 1999.

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Sudhakar, Ganti, ed. Quality of service in ATM networks: State-of-the-art traffic management. Upper Saddle River, NJ: Prentice Hall, 1999.

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Stout, Rick. Web site stats: Tracking hits and analyzing traffic. Berkeley, Calif: Osborne McGraw-Hill, 1997.

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Book chapters on the topic "Telecommunication - Traffic - Management"

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Burrell, Anthony T., Titsa P. Papantoni-Kazakos, A. Lombardo, S. Palazzo, and G. Schembra. "Traffic Characterization & Management." In Third Generation Mobile Telecommunication Systems, 387–417. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56919-7_7.

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Leray, Philippe, Patrick Gallinari, and Elisabeth Didelet. "Diagnosis tools for telecommunication network traffic management." In Artificial Neural Networks — ICANN 96, 209–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61510-5_38.

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Santos, Dorabella, Amaro de Sousa, and Filipe Alvelos. "Traffic Engineering of Telecommunication Networks Based on Multiple Spanning Tree Routing." In Traffic Management and Traffic Engineering for the Future Internet, 114–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04576-9_8.

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Poryazov, Stoyan, Emiliya Saranova, and Ivan Ganchev. "Scalable Traffic Quality and System Efficiency Indicators Towards Overall Telecommunication System’s QoE Management." In Lecture Notes in Computer Science, 81–103. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90415-3_4.

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Arun, V., and K. L. Shunmuganathan. "Mobile Agent in InVANET – Traffic Management." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 10–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27299-8_2.

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Izmailov, R., B. Sengupta, and A. Iwata. "ATM Routing Algorithms for Multimedia Traffic in Private ATM Networks." In Heuristic Approaches for Telecommunications Network Management, Planning and Expansion, 21–38. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-5392-9_2.

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Di Stefano, Alessandro, Stefano Buratti, and Paolo Conforto. "ANTARES System Design Options for Satellite-Based Air Traffic Management." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 60–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23825-3_7.

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Liu, Yiming, Zhen Cheng, Ziyu Wang, Shihan Chen, and Xin Su. "Fine-Grained Data Traffic Management System Based on VPN Technology." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 19–25. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98752-1_3.

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Lücke, Oliver, and Eriza Hafid Fazli. "A Networking Testbed for IPv6-Based Future Air Traffic Management (ATM) Network." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 314–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23825-3_28.

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Ahmad, Iftikhar, Rafidah MD Noor, Ihsan Ali, and Muhammad Ahsan Qureshi. "The Role of Vehicular Cloud Computing in Road Traffic Management: A Survey." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 123–31. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51207-5_12.

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Conference papers on the topic "Telecommunication - Traffic - Management"

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Dronyuk, Ivanna, Yurii Klishch, and Svitlana Chupakhina. "Developing Fuzzy Traffic Management for Telecommunication Network Services." In 2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM). IEEE, 2019. http://dx.doi.org/10.1109/cadsm.2019.8779323.

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Karimova, S. K. "Streaming Model of Traffic Management in the Telecommunication Network." In 2021 International Conference on Engineering Management of Communication and Technology (EMCTECH). IEEE, 2021. http://dx.doi.org/10.1109/emctech53459.2021.9619172.

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Li, Feng, Zhan Hong Xin, Mu Li, and Zhi Wei Shen. "An Empirical Research on Telecommunication Traffic Forecasting Based on Chaos Theory." In 2010 International Conference on Management and Service Science (MASS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmss.2010.5576595.

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Abdurakhmanov, R. P., and F. Q. Tojieva. "Study of Efficiency of Functioning of Traffic Management Algorithms in Telecommunication Networks." In 2020 International Conference on Information Science and Communications Technologies (ICISCT). IEEE, 2020. http://dx.doi.org/10.1109/icisct50599.2020.9351503.

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Gupta, Chunky, Deepak Pandey, Prashant Kr Singh, Rahul Agrawal, Shakti Mishra, and D. S. Kushwaha. "Network Traffic Resilient Remote Resource Management Framework." In 2009 International Conference on Advances in Computing, Control, & Telecommunication Technologies (ACT 2009). IEEE, 2009. http://dx.doi.org/10.1109/act.2009.60.

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Boero, Luca, Marco Cello, Chiara Garibotto, Mario Marchese, and Maurizio Mongelli. "Management of non-conformant traffic in OpenFlow environments." In 2015 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS). IEEE, 2015. http://dx.doi.org/10.1109/spects.2015.7285293.

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Santamaria, Amilcare Francesco, Cesare Sottile, Andrea Lupia, and Pierfrancesco Raimondo. "An efficient traffic management protocol based on IEEE802.11p standard." In 2014 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS). IEEE, 2014. http://dx.doi.org/10.1109/spects.2014.6880004.

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Nafi, Nazmus S., Reduan H. Khan, Jamil Y. Khan, and Mark Gregory. "A predictive road traffic management system based on vehicular ad-hoc network." In 2014 Australasian Telecommunication Networks and Applications Conference (ATNAC). IEEE, 2014. http://dx.doi.org/10.1109/atnac.2014.7020887.

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Makris, Prodromos, Dimitrios N. Skoutas, Nikolaos Nomikos, Demosthenes Vouyioukas, and Charalabos Skianis. "A Context-Aware Backhaul Management solution for combined H2H and M2M traffic." In 2013 International Conference on Computer, Information and Telecommunication Systems (CITS). IEEE, 2013. http://dx.doi.org/10.1109/cits.2013.6705719.

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Javed, Muhammad A., and Jamil Y. Khan. "A geocasting technique in an IEEE802.11p based vehicular ad hoc network for road traffic management." In 2011 Australasian Telecommunication Networks and Applications Conference (ATNAC 2011). IEEE, 2011. http://dx.doi.org/10.1109/atnac.2011.6096639.

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