Computer Science

Computer Science ›› 2019, Vol. 46 ›› Issue (5): 315-319.doi: 10.11896/j.issn.1002-137X.2019.05.049

Previous Articles     Next Articles

Comprehensive Evaluation of Network Service Quality Based on Cloud Model
and Improved Grey Relational Analysis Model

SUN Ming-wei, QI Yu-dong   

  1. (Naval Aeronautical University,Yantai,Shandong 264001,China)
  • Published:2019-05-15

PDF (PC)

803

Abstract: With the rapid development of multimedia technology and high-speed network technology,various new network applications with higher quality requirements are constantly emerging.In view of the problem that current traditional computer network can only provide the “best” of services,and can not guaranteehigh quality of service and fast and effective evaluation of sudden new business,through measuring theperformance parameters of network service quality,this paper proposed a comprehensive evaluation model of network service quality based on cloud-improved grey relational analysis model,so as to realize real-time and rapid classification of measurement data.The experiment shows that this method can get accurate evaluation results and has good guiding significance for exploring the comprehensive evaluation method.

Key words: Cloud model, Improved grey relational model, Network service quality

CLC Number: 

  • TP393.0
[1]XIAO X C,WANG X Q,FU K Y,et al.Grey Relational Analysis on Factors of the Quality of Web Service[J].Physics Procedia,2012,33:1992-1998.
[2]ZHAO L J.Research on the Measurement Technology of Network Service Quality [D].Chengdu:University of Electronic Science and Technology of China,2012.(in Chinese)赵立军.网络服务质量的测量技术研究[D].成都:电子科技大学,2012.
[3]HU X Y,GONG J.Refined QoS assessment based on application differentiation [J].Journal of PLA University of Science and Technology (Natural Science Edition),2011,12(1):37-41.(in Chinese)胡晓艳,龚俭.基于应用区分的精细化网络服务质量评估[J].解放军理工大学自然科学版,2011,12(1):37-41.
[4]LUO Z H.Research and implementation of IP network QoS monitoring[D].Beijing:Beijing University of Posts and Telecommunications,2014.(in Chinese)罗智慧.IP网络服务质量监测研究与实现[D].北京:北京邮电大学,2011.
[5]JALLOH M M,ZHOU Y D,HUANG J,et al.Network-Cloud service selection algorithms:a comparative study [J].Journal of Chongqing University of Posts and Telecommunications,2016,28(4):575-584.(in Chinese)JALLOH M M,周易德,黄俊,等.网络-云组合服务选择算法对比研究[J].重庆邮电大学学报(自然科学版),2016,28(4):575-584.
[6]YUE C.Entropy-based weights on decision makers in group decision-making setting with hybrid preference representations[J].Applied Soft Computing,2017,60.
[7]SUN L Y,MIAO C L,YANG L.Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method[J].Ecological Indicators,2017,73:554-558.
[8]LI G,LI J P,SUN X L,et al.Research on a Combined Method of Subjective-Objective Weighing and the Its Rationality[J].Business Review,2017,29(12):17-26,61.(in Chinese)李刚,李建平,孙晓蕾,等.主客观权重的组合方式及其合理性研究[J].管理评论,2017,29(12):17-26,61.
[9]LIU S F,CAI H,YANG Y J,et al.Advance in grey incidenceanalysis modelling[J].System Engineering Theory and Practice,2013,33(8):2041-2046.(in Chinese)刘思峰,蔡华,杨英杰,等.灰色关联分析模型研究进展[J].系统工程理论与实践,2013,33(8):2041-2046.
[10]SUN G,GUAN X,YI X,et al.Grey relational analysis between hesitant fuzzy sets with applications to pattern recognition[J].Expert Systems with Applications,2017,92:521-532.
[11]JIA Z C,ZHAO Z G,SONG L L,et al.Research on Coal and Gas Outburst Prediction Based on Improved Gray Associated Analysis[J].Coal Technology,2016,35(9):139-141.(in Chinese)贾志闯,赵志刚,宋璐璐,等.基于改进灰色关联分析方法的煤与瓦斯突出预测研究[J].煤炭技术,2016,35(9):139-141.
[12]LI Y J,FANG R M.Reliability assessment for wind turbinebased on weighted degree of improved grey incidence[J].Power System Protection and Control,2015,43(14):63-69.(in Chinese)李玉洁,方瑞明.基于改进加权灰关联分析法的风电机组可靠性研究[J].电力系统保护与控制,2015,43(14):63-69.
[13]FU B,LI D G,WANG M K.Review and prospect on research of cloud model[J].Application Research of Computers,2011,28(2):420-426.(in Chinese)付斌,李道国,王慕快.云模型研究的回顾与展望[J].计算机应用研究,2011,28(2):420-426.
[14]YE Q,LI S W,ZHANG Y H,et al.Cloud model and application overview[J].Computer Engineering and Design,2011,32(12):4198-4201.(in Chinese)叶琼,李绍稳,张友华,等.云模型及应用综述[J].计算机工程与设计,2011,32(12):4198-4201.
[15]GAO H B,XIE G T,LIU H Z,et al.Lateral control of autonomous vehicles based on learning driver behavior via cloud model[J].The Journal of China Universities of Posts and Telecommunications,2017,24(2):10-17.
[16]LIU C,YIN J Q.Internet quality of service overview[J].China Digital Cable TV,2015(8):930-932.(in Chinese)刘昶,尹家强.互联网服务质量概述[J].中国有线电视,2015(8):930-932.
[17]RAN Y H.A Research on Teacher’s Teaching Quality Evaluation Based on Gray Relational Analysis[D].Chongqing:Chongqing Normal University,2014.(in Chinese)冉燕辉.基于灰关联分析的教师教学质量评价研究[D].重庆:重庆师范大学,2014.
[1] YANG Yu-li, LI Yu-hang, DENG An-hua. Trust Evaluation Model of Cloud Manufacturing Services for Personalized Needs [J]. Computer Science, 2022, 49(3): 354-359.
[2] ZHOU Chuan. Optimization of Sharing Bicycle Density Distribution Based on Improved Salp Swarm Algorithm [J]. Computer Science, 2021, 48(11A): 106-110.
[3] DU Bo, YU Yan and DAI Gang. Study on Multi-collaborative Filtering Algorithm of Command Information Based on Cloud Models [J]. Computer Science, 2017, 44(Z11): 470-475.
[4] LU Yong-huang and HUANG Shan. 3D Point Cloud Segmentation Method Based on Adaptive Angle [J]. Computer Science, 2017, 44(Z11): 166-168.
[5] CAO Ru-sheng, NI Shi-hong and ZHANG Peng. Bayesian Networks Structure Learning Algorithm Based on Cloud Genetic Annealing [J]. Computer Science, 2017, 44(9): 239-242.
[6] CHEN Hui and MA Ya-ping. Improved Influence Network Approach to Target Threat Assessment [J]. Computer Science, 2017, 44(8): 162-167.
[7] CUI Tie-jun, LI Sha-sha and WANG Lai-gui. Multi-attribute Decision Making Model Based on Attribute Circle and Application of Reliability Analysis [J]. Computer Science, 2017, 44(5): 111-115.
[8] CHEN Hao and LI Bing. Gauss Cloud Model Based on Uniform Distribution [J]. Computer Science, 2016, 43(9): 238-241.
[9] XU Xue-fei, LI Jian-hua, YANG Ying-hui and GUO Rong. Military Aeronautical Communication Spectrum Sharing Trust Mechanism Based on Cloud Model [J]. Computer Science, 2016, 43(9): 169-174.
[10] CAO Ru-sheng, NI Shi-hong, ZHANG Peng and XI Xian-yang. EM Parameter Learning Algorithm of Bayesian Network Based on Cloud Model [J]. Computer Science, 2016, 43(8): 194-198.
[11] ZHAO Jia, XIAO Bin, LI Wei-sheng and WANG Guo-yin. Fusion Method of Multi-model Brain Images Based on Adaptive Cloud Model [J]. Computer Science, 2016, 43(11): 291-296.
[12] YANG Yong-fei, LIU Guang-jie and DAI Yue-wei. Trust Evaluation Mechanism for Nodes Based on Adaptive Cloud Model in Wireless Sensor Network [J]. Computer Science, 2015, 42(Z6): 388-392.
[13] LI Ren-xing and DING Li. Path Planning for Unmanned Air Vehicles Using Improved Artificial Bee Colony Algorithm [J]. Computer Science, 2015, 42(Z11): 89-92.
[14] XIE Li-chun and ZHANG Chun-qin. Detection Method and Performance Analysis of Network Attacks Based on Cloud Model [J]. Computer Science, 2015, 42(Z11): 378-380.
[15] YAO Wen-bin, WANG Zhen, ZHAO Ling and YAO Xiang. Study on Disaster Recovery Capability Evaluation Approach Based on Cloud Model [J]. Computer Science, 2015, 42(8): 152-156.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
渝ICP备16013121号-4
Add:18# Honghu West Rd., Yubei ,Chongqing,China    Post Code: 401121
Tel: 023-63500828/023-67039612/023-67039623
E-mail: jsjkx12@163.com
Powered by Beijing Magtech Co., Ltd.