WEB服務(wù)性能的反饋控制方法的研究.pdf

1、摘要WEB服務(wù)體系是Internet最重要的服務(wù)之一.隨著Internet的迅猛發(fā)展,人類對WEB服務(wù)器性能品質(zhì)的要求越來越高.傳統(tǒng)的方法在提高WEB服務(wù)性能方面已經(jīng)表現(xiàn)出很大的局限性,而反饋控制方法因其良好的控制理論背景和對動態(tài)系統(tǒng)的魯棒收斂分析機制研究,在解決WEB性能提高方面吸引了越來越多的專家學(xué)者的關(guān)注.本文以提高Apache WEB服務(wù)器的服務(wù)性能這一課題為背景,在深入了解WEB服務(wù)器的結(jié)構(gòu)、分類、相關(guān)參數(shù)特性以及所要提高的性

2、能品質(zhì)等基本信息的基礎(chǔ)上,將QOS的性能保障問題轉(zhuǎn)化成控制系統(tǒng)中的反饋控制環(huán),并針對Apache服務(wù)器模型的參數(shù)多變、存在非線性因素等特點,采用較新的控制技術(shù)——多模型自適應(yīng)控制方法和T-S模糊控制方法,旨在提高WEB服務(wù)器的暫態(tài)和穩(wěn)態(tài)性能.尤其針對T-S模糊控制方法展開了較深入的先期理論研究.對于模型復(fù)雜的不確定時滯互聯(lián)系統(tǒng)和非互聯(lián)系統(tǒng)討論了其魯棒控制若干問題,其中包括:狀態(tài)反饋、基于觀測器的輸出反饋、H∞跟蹤控制等諸多問題.同時也將

3、該控制方法用于Apache服務(wù)器的建模和性能控制中,MATLAB仿真實驗證明,與傳統(tǒng)的控制方法相比,上述兩種控制方法在提高WEB服務(wù)性能方面具有較強的可行性和良好的應(yīng)用前景.將這兩種控制方法用于實際的WEB服務(wù)器中以提高其性能品質(zhì)是我們下一步的研究工作.關(guān)鍵詞:QOS(服務(wù)質(zhì)量),SLA(服務(wù)管理協(xié)議),API(應(yīng)用程序接口),PDC(平行分布補償方案),多模型控制,T-S模糊模型系統(tǒng)AbstractWEB service is one

4、 of the most important services of Intemet. With the miraculous development of Intemet, the performance of the WEB server is more complex and important than ever. Traditional approaches to providing the performance guara

5、ntees become more and more ineffective. Recently, feedback control method for the improvement of WEB performance has attracted more and more interests, due to its good theory foundation and mechanism of robust convergenc

6、e analysis.In this paper, with the background of Apache WEB server, and based on the basic information of the structure, classify, concemed parameters characteristic and performance guarantee of the WEB server, we map th

7、e problem of QOS performance guarantee into the feedback system control loops. For the characteristic of the varying parameters and nonlinear component of the Apache models, we adopt two new methods——Multiple models adap

8、tive control and T-S fuzzy model control to improving the transient response and stability performance. In particular, we develop the anterior theory discussion for some problems of the T-S fuzzy control for the uncertai

9、n time-delay interconnected systems and general systems, including state feedback control, observer-based output feedback control, H∞ tracking control and so on. At the same time we apply these two approaches to the mode

10、l building and performance guarantee of the Apache WEB server. The simulation result in MATLAB illustrates that compared to the traditional control methods, these two approaches hasstrongly feasibility and favorable fore

11、ground. Our next research work is to applying the multiple models adaptive control andT-S fuzzy model control to the actual WEB server to improving its performance. Keywords: QOS(Quality of Service),SLA(Service level agr