Performance Analysis and Prediction of Double-Server Polling System Based on BP Neural Network

被引：5

作者：

YANG Zhijun ^{[1
,2
]}

MAO Lei ^{[1
]}

GAN Jianhou ^{[3
]}

DING Hongwei ^{[1
]}

机构：

[1] School of Information Science and Technology,Yunnan University

[2] Educational Instruments and Facilities Service Center,Educational Department of Yunnan Province

[3] Key Laboratory of Education Informalization for Nationalities of Ministry of Education,Yunnan Normal University

来源：

Chinese Journal of Electronics | 2020年 / 29卷 / 06期

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TP368.5 [服务器、工作站]; TP183 [人工神经网络与计算];

学科分类号：

081104 ; 0812 ; 081201 ; 0835 ; 1405 ;

摘要：

To solve the poor performance of the single-server polling system in high traffic and the complex analysis of the multi-server polling system,a synchronous double-server polling system is proposed,and its performance is analyzed using a Backpropagation(BP) neural network prediction algorithm.Experimental data are processed and analyzed,and a three-layer multiinput single-output BP network model is constructed to predict the performance of the polling system under different arrival rates of information packets.In the prediction stage,first,the data are processed and the average queue length under different information arrival rates is used to form a sequence.Subsequently,a multiinput single-output BP neural network is constructed for prediction.Experimental results show that the algorithm can accurately predict the performance of the double-server polling system,thereby facilitating research regarding polling systems.

引用

页码：1046 / 1053

页数：8

共 50 条

[31] Prediction of Construction Schedule Based on BP Neural Network
Li, Zhaolin
Zhang, Guozhi
PROGRESS IN INDUSTRIAL AND CIVIL ENGINEERING II, PTS 1-4, 2013, 405-408 : 3423 - +
[32] Photovoltaic Power Prediction of BP Neural Network Based on Singular Spectrum Analysis
Wang, Dingmei
Zhou, Qiang
Jin, Yan
Dong, Haiying
2021 5TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY ENGINEERING (ICPEE 2021), 2021, : 103 - 110
[33] Analysis and prediction of temperature of an assembly frame for aircraft based on BP neural network
Liu, Ruoxuan
Song, Juzheng
Luo, Peijun
Tian, Fangfang
Li, Weiping
INTERNATIONAL JOURNAL OF COMPUTATIONAL MATERIALS SCIENCE AND ENGINEERING, 2023, 12 (03)
[34] Prediction and analysis of land subsidence based on improved BP neural network model
Li, Hong-Xia
Zhao, Xin-Hua
Chi, Hai-Yan
Zhang, Jian-Jun
Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 2009, 42 (01): : 60 - 64
[35] Prediction and analysis of strawberry moisture content based on BP neural network model
Jiang W.
Xu H.
Akbari E.
Wen J.
Liu S.
Wang C.
Dong J.
Recent Advances in Computer Science and Communications, 2020, 13 (04): : 657 - 671
[36] Prediction for performance of seed-filling process based on improved BP neural network
Wang C.
Song J.
Wang J.
Liu C.
Li Y.
Dong X.
Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery, 2010, 41 (SUPPL. 1): : 64 - 67
[37] Outage Probability Performance Analysis and Prediction for Mobile IoV Networks Based on ICS-BP Neural Network
Xu, Lingwei
Wang, Han
Gulliver, T. Aaron
IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (05): : 3524 - 3533
[38] RETRACTED: Accuracy Analysis of Sports Performance Prediction Based on BP Neural Network Intelligent Algorithm (Retracted Article)
Yang, Hong
Luo, Changdi
SECURITY AND COMMUNICATION NETWORKS, 2022, 2022
[39] Grey BP neural network-based women heptathlon performance prediction application
Han, Xiaoyan
BioTechnology: An Indian Journal, 2014, 10 (11) : 5004 - 5012
[40] BP neural network-based sports performance prediction model applied research
Wang, Jian, 1600, Journal of Chemical and Pharmaceutical Research, 3/668 Malviya Nagar, Jaipur, Rajasthan, India (06):

← 1 2 3 4 5 →