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    Switching Model of Traffic Network and Its Congestion Control and Scheduling Algorithm
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    Abstract:
    The structure and function of a traffic transport network are similar to these of a computer network. The former is used for vehicles to run, while the latter is used to transmit data packets. The problem of traffic flow congestion in a traffic network is also similar to that of packet congestion in a computer network. Up to now, there are a lot of researches about the problem of packet congestion control algorithm for a computer network, but while there is a relatively little study about the problem of traffic congestion for a traffic network from the point of whole network in current academia. In order to find a good way to control traffic congestion, learning from theory and technology on computer networks, we have made a comprehensive study about modeling and congestion control algorithm for a transportation network. Firstly, we set up a switching model for whole traffic network and put functions of congestion detection and controlling into switching nodes. Based on it, we have made a further study about issue of traffic congestion control and scheduling. By introducing PID control model into it, we design a new algorithm, which is called TPID. By this way, we have improved the performance and efficiency to design a traffic congestion control system for a traffic network.
    Keywords:
    Network traffic simulation
    Traffic policing
    Flow Control
    Packet loss
    Network traffic simulation
    Traffic policing
    Internet traffic engineering
    For Internet service providers to efficiently use network resources, they need to conduct traffic engineering to dynamically control traffic routes to accommodate traffic with limited network resources. The performance of traffic engineering depends on the accuracy of traffic prediction. However, the volume of network traffic has been changing drastically in recent years due to the growth of various types of network services, making traffic prediction increasingly difficult. Our simple ideas to overcome this challenge are to separate traffic into predictable and unpredictable parts and to apply different control policies to predictable and unpredictable traffic. To promote these ideas, we use software-defined networking technology, particularly Open-Flow, that can control macroflows defined by any combination of L2-L4 packet header information such as 5-tuple. In this paper, we therefore propose the macroflow-generating method for separating traffic into predictable macroflows that have little traffic variation and unpredictable macroflows that have large traffic variation within a limited flow table size. We also propose a macroflow-based traffic engineering scheme that uses different routing policies in accordance with traffic predictability. Simulation evaluation results suggest that our proposed scheme can reduce the maximum link load in a network at the most congested time by 34% and the average link load in a network on average by 11% compared with the current traffic engineering schemes.
    Internet traffic engineering
    Network traffic simulation
    Traffic policing
    Predictability
    Citations (6)
    The structure and function of a traffic transport network are similar to these of a computer network. The former is used for vehicles to run, while the latter is used to transmit data packets. The problem of traffic flow congestion in a traffic network is also similar to that of packet congestion in a computer network. Up to now, there are a lot of researches about the problem of packet congestion control algorithm for a computer network, but while there is a relatively little study about the problem of traffic congestion for a traffic network from the point of whole network in current academia. In order to find a good way to control traffic congestion, learning from theory and technology on computer networks, we have made a comprehensive study about modeling and congestion control algorithm for a transportation network. Firstly, we set up a switching model for whole traffic network and put functions of congestion detection and controlling into switching nodes. Based on it, we have made a further study about issue of traffic congestion control and scheduling. By introducing PID control model into it, we design a new algorithm, which is called TPID. By this way, we have improved the performance and efficiency to design a traffic congestion control system for a traffic network.
    Network traffic simulation
    Traffic policing
    Flow Control
    Packet loss
    Citations (0)
    This paper presents a traffic signal control system and a hierarchical control algorithm of a traffic network. The traffic signal control system of the traffic congestion length is described by a linear time-varying discrete dynamic system in the traffic network. The hierarchical control algorithm using the priority control concept is presented and simulated at twelve signalized intersections of the traffic network. The simulation results are compared with the measurement data.
    Network traffic simulation
    SIGNAL (programming language)
    Hierarchical control system
    Traffic policing
    Citations (1)
    A challenge in the traffic management of emerging networks is to describe, analyze and control their complex traffic flows in ways that can be applied in practice. Our approach to this problem starts with collection and analysis of high-resolution traffic traces from working networks; models that can accurately and adequately describe these complex flows are devised, which then lead to the development of appropriate and practical traffic management methods. This paper takes a close look at network traffic measurements based on our experiences analyzing a large number of traffic traces collected from a wide range of technologies including Ethernet, ISDN packet, CCS, Internet, frame relay and ATM. We give an overview of lessons learned regarding actual traffic patterns in various packet networks, discussing aggregate network traffic and individual connection traffic, and traffic characteristics found in various protocol layers such as user, link layer, and service; we point out various factors that can impact the observed traffic characteristics. We use real examples to discuss the impacts of equipment and protocol implementations on network traffic patterns.
    Network traffic simulation
    Internet traffic engineering
    Traffic policing
    Frame Relay
    In order to facilitate users to monitor and control the real-time traffic of local area network,a network traffic monitored control system based on SharpPcap framework(SPCatcher) is proposed.After analyzing the mudules' reqirements of network traffic monitoring,network traffic analysis and network traffic control in detail,the framework model of traffic monitored control system is constructed.What's more,the modules' functional implementation chart is presented including data transmission direction and instruction response sequence.SPCatcher is used to capture the network flow,the analysis is finished,the source cause is found out to reduce the network performance,and then to control the flow of the abuse behavior of the particular client.Detial design and implementation of the traffic monitored control system are discussed.Simulations verify the feature of the SPCatcher system.
    Network traffic simulation
    Network monitoring
    Traffic policing
    Citations (0)
    One of the main difficulties, when dimensioning a telecommunication network, is to deal with the random nature of the input traffic. The traffic control goal is to protect both the receiving terminal equipments and the network elements (e.g. multiplexers, switches, etc.) against traffic excess. Once the traffic is controlled, it becomes more predictable for the network and resource utilization can be optimized. We begin the presentation with a brief introduction to B-ISDN networks and to the ATM technique that has been retained as the transfer mode of these networks. It turns out that traffic control mechanisms that are used in existing networks are not adapted to the characteristics of high speed networks. These characteristics are mainly the high bandwidth-propagation delay product and the heterogeneity of the input traffic (voice, video, data, etc.). We present the properties that are required for traffic control mechanisms in order to be well suited to these network characteristics and the general traffic management framework of ATM networks. We finish the talk by presenting some open problems, related to preventive and reactive traffic control, that still required more research work.
    Traffic policing
    Network traffic simulation
    Dimensioning
    Citations (0)
    This paper studies the adaptive traffic congestion control of traffic network from the system-theoretic viewpoint. The time-dependent characteristics of traffic congestion length are described by a linear time-varying discrete dynamical system based on the traffic volume at each signalized intersection. An adaptive control system of the traffic congestion length in a traffic network using a decentralized control concept is proposed. The authors also propose two adaptive control algorithms for traffic congestion length control in a traffic network. One is a priority control algorithm, the other is a balance control algorithm.
    Traffic policing
    Network traffic simulation
    Traffic wave
    Citations (1)