3rd International ICST Conference on Quality of Service in Heterogeneous Wired/Wireless Networks

Research Article

Prediction error adaptation of input traffic for absolute and proportional delay differentiated services

  • @INPROCEEDINGS{10.1145/1185373.1185422,
        author={Kyung  Mook Lim and JungHoon Paik and Jeong-dong  Ryoo and Seong-Soon   Joo},
        title={Prediction error adaptation of input traffic for absolute and proportional delay differentiated services},
        proceedings={3rd International ICST Conference on Quality of Service in Heterogeneous Wired/Wireless Networks},
        publisher={ACM},
        proceedings_a={QSHINE},
        year={2006},
        month={8},
        keywords={},
        doi={10.1145/1185373.1185422}
    }
    
  • Kyung Mook Lim
    JungHoon Paik
    Jeong-dong Ryoo
    Seong-Soon Joo
    Year: 2006
    Prediction error adaptation of input traffic for absolute and proportional delay differentiated services
    QSHINE
    ACM
    DOI: 10.1145/1185373.1185422
Kyung Mook Lim1,*, JungHoon Paik2,*, Jeong-dong Ryoo1,*, Seong-Soon Joo1,*
  • 1: Broadband Convergence Network Research Division Electronics and Telecommunications Research Institute, Daejeon, Korea
  • 2: Information and Telecommunication Dong-Ah Broadcasting College, Kyung-gi, Korea
*Contact email: kmlim@etri.re.kr, jhpaik@dabc.ac.kr, ryoo@etri.re.kr, ssjoo@etri.re.kr

Abstract

In this paper, an algorithm that provisions absolute and proportional differentiation of packet delays is proposed with an objective for enhancing quality of service (QoS) in future packet networks. It features an algorithm that compensates the deviation for the prediction on the traffic to be arrived continuously. It predicts the traffic to be arrived at the beginning of a time slot and measures the actual arrived traffic at the end of the time slot. The difference between them is utilized to the delay control operation for the next time slot to offset it. As it compensates the prediction error continuously, it shows superior adaptability to the bursty traffic as well as the exponential rate traffic. It is demonstrated through simulations that the algorithm meets the quantitative delay bounds and shows superiority to the traffic fluctuation in comparison with the conventional non-adaptive mechanism.