基于灰色神经网络的多Agent服务集成系统服务质量预测*

南京大学学报(自然科学版) ›› 2013, Vol. 49 ›› Issue (2): 268–277.

基于灰色神经网络的多Agent服务集成系统服务质量预测*

张森森¹**，李决龙²，邢建春¹，杨启亮¹

出版日期:2015-10-21 发布日期:2015-10-21
作者简介: (1.解放军理工大学工程兵工程学院，南京，210007;2.海军军港机场营房部，北京，100841)
基金资助:
国防预研基金(AY208J003)

Quality of service prediction of multi-agent web service integration
system based on gray neural network

Zhang Miao-Miao¹ ,Li Jue一Long²，Xing Jian-Chun¹,Yang Qi一Liaug¹

Online:2015-10-21 Published:2015-10-21
About author: (1 .Engineering Institute of Corps of Enginecrs,PLA University of Science and Technology,Nanjing,
210007,China;2. Naval-port Airport Barracks Department of Navy Logistics,Bcijing,100841,China)

摘要/Abstract

摘要： 随着网络中大量功能相似的Web服务不断涌现，服务质量(QoS)在Web服务选择中的地位日
益突出，但目前关于Web服务QoS管理和动态预测的机制还不成熟.为了支持动态QoS预测，弥补当前
Web服务集成模型的不足，提出了一种面向QoS的多Agent web服务集成模型.然后在该模型的基础
上，提出一种基于灰色神经网络的动态QoS预测方法，并运用MATLAB建立动态QoS预测模型，通过
仿真验证木方法在QoS动态预测中是可行且有效的.

Abstract: Along with emerge of a large number of web service in the network, quality of scrvice(QoS) becomes more and
more significant in the web service selection. The QoS prediction is not only an important means of web services selection,
but also has an important significance of the entire service composition process. The Existing QoS prediction is divided into
static QoS prediction and dynamic QoS prediction,and the existing QoS prediction method is divided into recommend predic-
tion algorithm, reasoning prediction algorithm, artificial intelligence prediction algorithm. However, most of the prediction
method is only for QoS static prediction problem of web service selection, lack of support QoS management and dynamic pre-
diction model and prediction accuracy aspects to be improved. Software Agent is an independent function calculation entity of
distributed system and the cooperation system, which has the characteristics of autonomy, interactivity, reactivity and initia-
tive. In order to perform the dynamic QoS prediction and make up for the shortage of the current web service integration
model，we put forward a web service integration model based on multi-agent called QoS oriented multi-agent web service in-
tegration model( QOMAWSIM ) through joined the service agent and quality agent in the traditional web service layer. QO-
MAWSIM including application layer web service layer, intelligent Agent layer and the user layer.This model can provide
QoS management operation, such as web service QoS validation, QoS negotiation and QoS monitoring, which makes it easier
to realize the dynamic QoS prediction and dynamic service selection. Then based on QOMAWSIM , this paper put forward a
new method for QoS prediction of web service using grey-neural network. Urcy neural network not only have the advantages
of accumulation generation in the grey forecasting method，but also play the neural network intelligent processing character-
istircs. Finally MATLAB is used to build the model of QoS dynamic prediction and the simulation results show that this
method is feasible and effective.

张森森¹**，李决龙²，邢建春¹，杨启亮¹. 基于灰色神经网络的多Agent服务集成系统服务质量预测*[J]. 南京大学学报(自然科学版), 2013, 49(2): 268–277.

Zhang Miao-Miao¹ ,Li Jue一Long²，Xing Jian-Chun¹,Yang Qi一Liaug¹. Quality of service prediction of multi-agent web service integration
system based on gray neural network
[J]. Journal of Nanjing University(Natural Sciences), 2013, 49(2): 268–277.

参考文献

[1]Shao L S,Zhou L,Zao J Fetal. Web service QoS prediction approach. Journal of Software,2009，20
(8);2062-2073.(邵凌霜，周立，赵俊峰等.一种web service的服务质量预测方法.软件学报，2009,20(8):2062一2073).
[2]Zhao W,Zhang S K，Wang L F. An agent based qualify of service management framework. Jour-
nal of Nanjing University(Natural Sciences)，2005,41(5); 520-526.(赵文，张世混，王立福一种基于Agent的服务质量管理框架.南京
大学学报(自然科学),2005,41(5);520-526).
[3]Shao L S,Zhang J，Wei Y,et al. Personalized QoS prediction for web services via collaborative filte-
ring, IEEE International Conference on Web Services, Piscataway, NJ:IEEE,2007;439一446.
[4]Liu Z Z,Wang Z J，Zhou X F,et al. Dynamic pre- diction method for web service QoS based on case
based reasoning. Computer Science, 201 1，38(2): 119-121.(刘志中，王志坚，周晓峰等.基于事例
推理的web〕服务QoS动态预测研究.计算机科学，2011,38(2):119一121).
[5]Liu K F, Wang H，Xu Z P. A web service selec tion mechanism based on QoS prediction. Com-
puter Technology and Development, 2007，17(8): 103-105.(刘克非，王红，许作萍.一种基于服
务质量预测的wcl〕服务选择方法.计算机技术与发展，2009, 17(8): 103一105).
[6]Zhai S P, Wei J L，Li Z Z. A web service selecting strategy based on prediction with quality of serv-
ice parameter values. Journal of Xi’an Jiaotong U-niversity,2010,44(6):57-61.翟社平，魏娟丽，
李增智.利用服务质量参数值预测的web〕服务选择方法.西安交通大学学报，2010,44(6):57- 61).
[7]Malak J S, Mohsenzadeh M, Seyyedi M A. Web service QoS prediction based on multi agents,In-
ternational Conference on Computer Technology and Development，Piscataway, NJ:IEEE, 2009: 265一269.
[8]Yang S W,Shi M L. A model for web service dis- covery with QoS constraints. Chinese Journal of
Computers,2005,28(4):589一5 9’1.(杨胜文，史美林.一种支持QoS约束的web〕服务发现模型. 计算机学报，2005,28(4):589-594).
[9]Ran S. A model for web services discovery with QoS. ACM SIGecom Exchanges, 2003 , 4(1):1一10
[10]Liu D Y，Yang K，Chen J Z. Agents:Present sta- tus and trends. Journal of Software,2000，11(3):
315-321.(刘大有，杨鳗，陈建中.Agent研究现状与发展趋势.软件学报，2000,11(3):315- 321).
[11]Zhang H，Ben K R，Wang H B. Agent-based web services integration model and algorithm. Com-
puter Engineering and Applications, 2009，45 (21);171-174.(张辉，责可荣，王洪波.基于
Agent的web〕服务集成模型与集成算法.计算机工程与应用，2009,45(21);171一194).
[12]Francisco G S, Rafael V G, Rodrigo M B, et al. An ontology, intelligent agent-based framework
for the provision of semantic web services. Expert Systems with Applications，2009，36(2):3167 一3187.
[13]Liu S F,Dang Y G,Fang Z G,et al. The grey sys-tem theory and its application. Beijing; Science
Publishing,2010, 224.(刘思峰，党耀国，方志耕等.灰色系统理论及其应用.北京:科学出版社，2010,224).
[14]Zhang J H，Song J. A short term prediction for QoS of web service based on RBF neural net-
works. Journal of Liaoning Technical University ( Natural Science) , 2010 , 29 ( 5 ) : 918 - 921(张金
宏，宋杰.基于RBF神经网络的web〕服务QoS 短期预测.辽宁工程技术大学学报(自然科学)，2010,29(5):918一921).
[15]Dustdar S,Schreiner W. A survey on web services composition, International Journal of Web and
Grid Services,2005，1(1):1一30.
[16]Lin G.The research of system integrated technol- ogy based on SOA. Mater’s Thesis. Shanghai:
Shanghai Jiaotong University, 2008.(林征.基于面向服务架构的系统集成技术研究.硕士论文.上海:上海交通大学，2008).
[17]Tong H X. Research on agent based web service composition technology. Ph. D Thesis. Shanghai:
Shanghai Jiaotong University, 2009.(童红霞.基于Agent的web〕服务组合技术研究.博士论文. 上海:上海交通大学，2009 ).
[18]Wu Y P,Bao W D,Zhang W M,et al. Wcb serv-
ice composition systems survey. Computer Sci- ence,2011,38(9):1-4(武云鹏，包卫东，张维明
等.Web〕服务组合系统研究综述.计算机科学，2011，38(9):1一4).
[19]Zhang N,Qiu X S. Fuzzy evaluation of web services quality based on tri-dimensional QoS model. Com-
puter Engineering, 2008，34(9):12一侧.(张楠，邱雪松.基于立体QoS模型的web〕服务质量模糊评价.计算机工程,2008,34(9):42-44).
[20]Zhang Y L，Zheng Z B, Michael R L. WSPred:A time-aware personalized QoS prediction frames
work for web services. Proceedings of the 22th IEEE Symposium on Software Reliability Engi-
neering. Piscataway, NJ ; IEEE , 2011 ; 210一219.
[21]Zhang J H. A short term prediction for QoS on web service based on wavelet neural networks.
international Conference on Computational lntel- ligence and Communication Networks. Piscat-away, NJ ; IEEE , 2010 ; 254一258.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed