• Title/Summary/Keyword: internet traffic

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A Study on the Internet based Traffic Intersection control (인터넷 기반 교차로시스템 제어에 관한 연구)

  • Jin, Hyun-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.8 no.6
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    • pp.127-132
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    • 2008
  • Traffic intersection control is implemented by the data which is acquired to vechile loop detector. Traffic intersection control equation is Webster equation. which use passig and delayed vechile number. But webster equation is applied to the spot traffic intersection, it is not used to related traffic intersection network system. There is not the approprate remote traffic intersection control, even if there is, it is high cost local network system. Therefore low cost and expert traffic intersection control is realized by internet referencing next and distant intersection traffic information.

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A New Approach for Pricing the Internet Service

  • Lee, Hoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.11B
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    • pp.1007-1015
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    • 2003
  • In this Paper, we propose a method of determining the price for the elastic traffic in the current or future Internet services. First, we investigate the behavior in the consumption of bandwidth of elastic traffic in IP network. Next, we propose a new method to relate the bandwidth usage with the pricing for the elastic traffic, which is based partially or fully on the usage rate of the network bandwidth. Next, we propose an optimal charging function for elastic traffic, which is applicable to any Internet services. Finally, we will illustrate the implication of the work via simple numerical experiments.

Applying the IoT platform and green wave theory to control intelligent traffic lights system for urban areas in Vietnam

  • Phan, Cao Tho;Pham, Duy Duong;Tran, Hoang Vu;Tran, Trung Viet;Huu, Phat Nguyen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.1
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    • pp.34-52
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    • 2019
  • This paper proposes an intelligent system performing an application with assistance of an Internet of Things (IoT) platform to control a traffic lights system. In our proposed systems, the traffic lights can be remotely controlled through the Internet. Based on IoT platform, the traffic conditions at different intersections of roads are collected and the traffic lights are controlled in a central manner. For the software part, the algorithm is designed based on the green wave theory to maximize the green bandwidth of arterial roads while addressing a challenging issue: the rapid changes of parameters including cycle time, splits, offset, non-fixed vehicles' velocities and traffic flow along arterial roads. The issue typically happens at some areas where the transportation system is not well organized like in Vietnam. For the hardware part, PLC S7-1200 are placed at the intersections for two purposes: to control traffic lights and to collect the parameters and transmit to a host machine at the operation center. For the communication part, the TCP/IP protocol can be done using a Profinet port embedded in the PLC. Some graphical user interface captures are also presented to illustrate the operation of our proposed system.

Kalman Filtering-based Traffic Prediction for Software Defined Intra-data Center Networks

  • Mbous, Jacques;Jiang, Tao;Tang, Ming;Fu, Songnian;Liu, Deming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.6
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    • pp.2964-2985
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    • 2019
  • Global data center IP traffic is expected to reach 20.6 zettabytes (ZB) by the end of 2021. Intra-data center networks (Intra-DCN) will account for 71.5% of the data center traffic flow and will be the largest portion of the traffic. The understanding of traffic distribution in IntraDCN is still sketchy. It causes significant amount of bandwidth to go unutilized, and creates avoidable choke points. Conventional transport protocols such as Optical Packet Switching (OPS) and Optical Burst Switching (OBS) allow a one-sided view of the traffic flow in the network. This therefore causes disjointed and uncoordinated decision-making at each node. For effective resource planning, there is the need to consider joining the distributed with centralized management which anticipates the system's needs and regulates the entire network. Methods derived from Kalman filters have proved effective in planning road networks. Considering the network available bandwidth as data transport highways, we propose an intelligent enhanced SDN concept applied to OBS architecture. A management plane (MP) is added to conventional control (CP) and data planes (DP). The MP assembles the traffic spatio-temporal parameters from ingress nodes, uses Kalman filtering prediction-based algorithm to estimate traffic demand. Prior to packets arrival at edges nodes, it regularly forwards updates of resources allocation to CPs. Simulations were done on a hybrid scheme (1+1) and on the centralized OBS. The results demonstrated that the proposition decreases the packet loss ratio. It also improves network latency and throughput-up to 84 and 51%, respectively, versus the traditional scheme.

A Medium Access Control Protocol for Stable Internet Services on IS-2000 Network (IS-2000망에서 안정적 인터넷 서비스를 위한 매체접근제어 프로토콜)

  • 조성현;박성한
    • Proceedings of the IEEK Conference
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    • 2000.11a
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    • pp.193-196
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    • 2000
  • A new medium access control protocol is proposed to support stable wireless Internet services. Using the characteristics of the uplink Internet traffic and a Voice-Packet multi-session mode, the proposed protocol transmits the uplink Internet traffic via the voice traffic channel of silent duration in a multi-session mode. Out simulation results show that the proposed protocol guarantees stable wireless Internet services under heavy loads.

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Internet Traffic Forecasting Using Power Transformation Heteroscadastic Time Series Models (멱변환 이분산성 시계열 모형을 이용한 인터넷 트래픽 예측 기법 연구)

  • Ha, M.H.;Kim, S.
    • The Korean Journal of Applied Statistics
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    • v.21 no.6
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    • pp.1037-1044
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    • 2008
  • In this paper, we show the performance of the power transformation GARCH(PGARCH) model to analyze the internet traffic data. The long memory property which is the typical characteristic of internet traffic data can be explained by the PGARCH model rather than the linear GARCH model. Small simulation and the analysis of the real internet traffic show the out-performance of the PARCH MODEL over the linear GARCH one.

A Study on the Voice Traffic and Internet Traffic Estimation (음성 트래픽과 인터넷 트래픽 추정에 관한 연구)

  • Hwang, Jung-Yeon;Kang, Byung-Ryong;Jun, Kyung-Pyo
    • IE interfaces
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    • v.12 no.4
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    • pp.625-634
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    • 1999
  • On this study we selected some variable which affect on the estimated of the voice traffic, and estimated daily average traffic by years according to the variables. We applied nonlinear growth curve model to future traffic forecast with estimated historical traffic data. As a result of the forecasting, this study investigates the year in which the internet traffic goes far than the voice traffic.

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An Efficient Online RTP Packet Classification Method for Traffic Management In the Internet (인터넷상에서 트래픽 관리를 위한 효율적인 RTP 패킷 분류 방법)

  • Roh Byeong-hee
    • Journal of Internet Computing and Services
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    • v.5 no.5
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    • pp.39-48
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    • 2004
  • For transporting real-time multimedia traffic, RTP is considered as one of the most promising protocols operating at application layer. In order to manage and control the real-time multimedia traffic within networks, network managers need to monitor and analyze the traffic delivering through their networks. However, conventional traffic analyzing tools can not exactly classify and analyze the real-time multimedia traffic using RTP on the basis of real-time as well as non-real-time operations. In this paper, we propose an efficient online classification method of RTP packets, which can be used on high-speed network links. The accuracy and efficiency of the proposed methodhave been tested using captured data from a KIX node with 100 Mbps links, which interconnects between domestic and overseas Internet networks and is operated by NCA.

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Implementation of outgoing packet processor for ATM based MPLS LER System

  • Park, Wan-Ki;Kwak, Dong-Yong;Kim, Dae-Yong
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.1851-1854
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    • 2002
  • The Internet with conventional routing scheme cannot meet user demands driven from drastic growth in the Internet user and various service and traffic type. MPLS(Multi Protocol Label Switching) was introduced to the Internet fur solution to resolve this problem. MPLS is a paradigm to integrate higher layer’s software routing functions including layer-3 routing with layer-2 switching. But, the exponential growth of Internet traffic brings out of label space. One scalable solution to cope with this problem is to introduce flow merge technique, i. e. a group of flows is forwarded using the same label. Specially, IETF(Internet Engineering Task Force) recommends that ATM based MPLS system may include VC merge function, so it is scalable to increase of internet traffic. We implemented the MPLS LER system that includes the look-up and forwarding function in incoming path and VC merging function and limited traffic management function in outgoing path. This paper describes the implementation of the LER’s outgoing parts.

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Analysis of Game Traffic Characteristics of Realtime Online Network Games (실시간 온라인 네트워크 게임 환경에서의 게임 트래픽 특성 분석)

  • Jeong, Jong-Min;Lee, Mun-Kyu;Lee, Goo-Yeon
    • Journal of Industrial Technology
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    • v.20 no.B
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    • pp.233-238
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    • 2000
  • The study of game traffic has neglected by scientists, but as Internet gaming becomes more popular, multiplayer online games have become a significant element of Internet traffic. In this paper we analyze Internet traffic generated by sessions of multiplayer online games and study source models of multiplayer online game traffic. Our analysis shows that the empirical game traffic can be characterized by certain analytical model. We describe how our empirical traffic data set can be modeled and discuss how game server type influences interarrival distribution.

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