Accurate End-to-End Delay Bound Analysis for Large-Scale Network Via Experimental Comparison

被引:0
|
作者
Hong, Xiao [1 ]
Gao, Yuehong [2 ]
Yang, Hongwen [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing 100876, Peoples R China
[2] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
关键词
service scheduling; QoS; network calculus; performance analysis; large-scale network;
D O I
10.1587/transcom.2021EBP3106
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Computer networks tend to be subjected to the proliferation of mobile demands, therefore it poses a great challenge to guarantee the quality of network service. For real-time systems, the QoS performance bound analysis for the complex network topology and background traffic in modern networks is often difficult. Network calculus, nevertheless, converts a complex non-linear network system into an analyzable linear system to accomplish more accurate delay bound analysis. The existing network environment contains complex network resource allocation schemes, and delay bound analysis is generally pessimistic, hence it is essential to modify the analysis model to improve the bound accuracy. In this paper, the main research approach is to obtain the measurement results of an actual network by building a measurement environment and the corresponding theoretical results by network calculus. A comparison between measurement data and theoretical results is made for the purpose of clarifying the scheme of bandwidth scheduling. The measurement results and theoretical analysis results are verified and corrected, in order to propose an accurate per-flow end-to-end delay bound analytic model for a large-scale scheduling network. On this basis, the instructional significance of the analysis results for the engineering construction is discussed.
引用
收藏
页码:472 / 484
页数:13
相关论文
共 50 条
  • [1] Experimental Evaluation of End-to-End Delay in a Sigfox Network
    Ikonen, Jouni
    Nelimarkka, Niklas
    Nardelli, Pedro H. J.
    Mattila, Niko
    Melgarejo, Dick Carrillo
    IEEE Networking Letters, 2022, 4 (04): : 194 - 198
  • [2] End-to-End Large-Scale Image Retrieval Network with Convolution and Vision Transformers
    Zhang, Qing
    Bao, Feilong
    Su, Xiangdong
    Wang, Weihua
    Gao, Guanglai
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2022, PT IV, 2022, 13532 : 620 - 632
  • [3] END-TO-END APPROACH TO LARGE-SCALE MULTIMEDIA DISSEMINATION
    YAVATKAR, R
    MANOJ, L
    COMPUTER COMMUNICATIONS, 1994, 17 (03) : 205 - 217
  • [4] The Research on End-to-End Delay Upper Bound in Wireless Sensor Network
    Li Cui
    Ju Yong-feng
    PROCEEDINGS OF 2012 INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND SIGNAL PROCESSING, 2012, : 373 - 376
  • [5] On the computation of end-to-end delay bound in guaranteed service by network calculus
    Zhang, X.
    Chen, G.
    Gu, J.
    Ruan Jian Xue Bao/Journal of Software, 2001, 12 (06): : 889 - 893
  • [6] A large-scale, passive analysis of end-to-end TCP performance over GPRS
    Benko, P
    Malicsko, G
    Veres, A
    IEEE INFOCOM 2004: THE CONFERENCE ON COMPUTER COMMUNICATIONS, VOLS 1-4, PROCEEDINGS, 2004, : 1882 - 1892
  • [7] Deterministic end-to-end delay analysis in an avionics network
    Zhou, Hairui
    Li, Jian
    Hu, Chengchen
    Ji, Xiaoqiang
    He, Lina
    Hu, Fei
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2013, 227 (10) : 1583 - 1595
  • [8] A large-scale dataset for end-to-end table recognition in the wild
    Fan Yang
    Lei Hu
    Xinwu Liu
    Shuangping Huang
    Zhenghui Gu
    Scientific Data, 10
  • [9] An end-to-end workflow pipeline for large-scale Grid computing
    McGough A.S.
    Cohen J.
    Darlington J.
    Katsiri E.
    Lee W.
    Panagiotidi S.
    Patel Y.
    Journal of Grid Computing, 2005, 3 (3-4) : 259 - 281
  • [10] SCALING END-TO-END MODELS FOR LARGE-SCALE MULTILINGUAL ASR
    Li, Bo
    Pang, Ruoming
    Sainath, Tara N.
    Gulati, Anmol
    Zhang, Yu
    Qin, James
    Haghani, Parisa
    Huang, W. Ronny
    Ma, Min
    Bai, Junwen
    2021 IEEE AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING WORKSHOP (ASRU), 2021, : 1011 - 1018