A convergence algorithm to help enhance the performance of distributed systems on large networks

被引:7
|
作者
Wong, AKY [1 ]
Wong, JHC [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R China
关键词
large networks; communication channel; mean message response time; convergence algorithm; Central Limit Theorem; and flush limit;
D O I
10.1109/ISPAN.1999.778956
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The proposed convergence algorithm quickly and accurately predicts the mean message response time of a communication channel. From the predicted value the correct window size of the desired percentage of time-out tolerance in message transmission and response can be computed. A correct window size is a necessity for reducing excessive message retransmissions caused by time-outs. The convergence algorithm is particularly useful for enhancing the performance of time-critical distributed applications running on large networks such as the Internet. Prolonged delays in message response in these systems may lead to fatal errors. The discussion in this paper concentrates mainly on the theory and verification of the convergence algorithm. The simulation results have confirmed that the proposed algorithm is indeed a cost/effective solution for enhancing system performance. The simplicity of the convergence algorithm makes it worthwhile for practical implementation in real systems.
引用
收藏
页码:302 / 307
页数:6
相关论文
共 50 条
  • [41] Performance Enhancement of Scheduling Algorithm in Heterogeneous Distributed Computing Systems
    Nasr, Aida A.
    El-Bahnasawy, Nirmeen A.
    El-Sayed, Ayman
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2015, 6 (05) : 88 - 96
  • [42] Research on Relation between Average Degree and Convergence Performance of Distributed Synchronization Algorithm in WSNs
    Zhang, Xuan
    Lin, Xiao
    Zheng, Zhe
    Yang, Qi
    2017 12TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND EDUCATION (ICCSE 2017), 2017, : 392 - 396
  • [43] Research on Convergence Performance of Distributed Synchronization Algorithm in WSNs Based on Node Degree Distribution
    Luo, Lin
    Ni, Song
    Qian, Jingfeng
    Yang, Qi
    2015 IEEE 9TH INTERNATIONAL CONFERENCE ON ANTI-COUNTERFEITING, SECURITY, AND IDENTIFICATION (ASID), 2015, : 180 - 184
  • [44] A Distributed Robust Convergence Algorithm for Multi-robot Systems in the Presence of Faulty Robots
    Park, Hyongju
    Hutchinson, Seth
    2015 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2015, : 2980 - 2985
  • [45] Optimizing Performance for Managing Large Number of Files in Distributed Systems
    Basu, Shubhro
    Jansi, K. R.
    Chandorkar, Rahul
    ADVANCES IN DATA AND INFORMATION SCIENCES, 2022, 318 : 733 - 742
  • [46] Evaluating Trace Aggregation for Performance Visualization of Large Distributed Systems
    Lamarche-Perrin, Robin
    Schnorr, Lucas Mello
    Vincent, Jean-Marc
    Demazeau, Yves
    2014 IEEE INTERNATIONAL SYMPOSIUM ON PERFORMANCE ANALYSIS OF SYSTEMS AND SOFTWARE (ISPASS), 2014, : 139 - 140
  • [47] Design and performance analysis of an iterative algorithm for large graphs in a distributed environment
    Nascimento, Joao P. B.
    Capanema, Daniel de O.
    Pereira, Adriano C. M.
    REVISTA BRASILEIRA DE COMPUTACAO APLICADA, 2019, 11 (01): : 36 - 47
  • [48] MEMORY PERFORMANCE OF MICROCOMPUTERS AT LARGE USER NODES OF DISTRIBUTED SYSTEMS
    REDDI, AV
    COMPUTING SYSTEMS, 1991, 6 (02): : 85 - 90
  • [49] Distributed Weighted Least Squares Estimation with Fast Convergence in Large-scale Systems
    Marelli, Damin
    Fu, Minyue
    2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2013, : 5432 - 5437
  • [50] A novel distributed algorithm for estimation and control of large-scale systems
    Farina, Marcello
    Rocca, Marco
    EUROPEAN JOURNAL OF CONTROL, 2023, 72