Computer Science ›› 2016, Vol. 43 ›› Issue (10): 47-52.doi: 10.11896/j.issn.1002-137X.2016.10.008
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YAN Yong-quan and GUO Ping
| [1] Huang Y,Kintala C,Kolettis N,et al.Software rejuvenation:Analysis,module and applications [C]∥Twenty-Fifth International Symposium on Fault-Tolerant Computing.IEEE,1995:381-390 [2] Grottke M,Matias R,Trivedi K S.The fundamentals of soft-ware aging [C]∥IEEE International Conference on Software Reliability Engineering Workshops.IEEE,2008:1-6 [3] Magalhaes J P,Silva L M.Prediction of performance anomalies in web-applications based-on software aging scenarios [C]∥2010 IEEE Second Int’l.Workshop on Software Aging and Rejuvenation.IEEE,2010:1-7 [4] Li S,Yong Q.Software aging detection based on NARX model [C]∥2012 Ninth Web Information Systems and Applications Conference.IEEE,2012:105-110 [5] Hoffmann G A,Trivedi K S,Malek M.A best practice guide to resource forecasting for computing systems [J].IEEE Transactions on Reliability,2007,56(4):615-628 [6] Araujo J,Matos R,Maciel P,Vieira F.Software rejuvenation in eucalyptus cloud computing infrastructure:A method based on time series forecasting and multiple thresholds [C]∥2011 IEEE Third International Workshop on Software Aging and Rejuvenation.IEEE,2011:38-43 [7] Fishwick P A.Neural network models in simulation:a comparison with traditional modeling approaches [C]∥Proceedings of the 21st Conference on Winter Simulation.ACM,1989:702-709 [8] Zhang G P.Time series forecasting using a hybrid ARIMA and neural network model [J].Neurocomputing,2003,50:159-175 [9] Denton J W.How good are neural networks for causal forecasting [J].The Journal of Business Forecasting,1995,14(2):17-20 [10] Markham I S,Rakes T R.The effect of sample size and variability of data on the comparative performance of artificial neural networks and regression [J].Computers & Operations Research,1998,25(4):251-263 [11] Balabin R M,Lomakina E I.Support vector machine regression(SVR/LS-SVM)—an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data [J].Analyst,2011,136(8):1703-1712 [12] Taskaya T,Casey M C.A comparative study of autoregressive neural network hybrids [J].Neural Networks,2005,8(5):781-789 [13] Hibon M,Evgeniou T.To combine or not to combine:selecting among forecasts and their combinations [J].International Journal of Forecasting,2005,21(1):15-24 [14] Terui N,Van DHK.Combined forecasts from linear and nonlinear time series models [J].International Journal of Forecasting,2002,18(3):421-438 [15] Perrone M P,Cooper L N.When networks disagree:Ensemblemethods for hybrid neural networks [R].Brown Univ Providence RI Inst for Brain and Neural System,1992 [16] Matias R.An experimental study on software aging and rejuvenation in web servers [C]∥30th Annual International Computer Software and Applications Conference .IEEE,2006:189-196 [17] Moura Silva L,Alonso J,Silva P,Torres J.Using virtualization to improve software rejuvenation [J].IEEE Transactions on Computers,2009,58(11):1525-1538 [18] Zhao J,Trivedi K S,Wang Y B,et al.Evaluation of software performance affected by aging [C]∥2010 IEEE Second International Workshop on Software Aging and Rejuvenation.IEEE,2010:1-6 [19] Matias R,Costa B E,Macedo A.Monitoring memory-relatedsoftware aging:An exploratory study [C]∥2012 IEEE 23rd International Symposium on Software Reliability Engineering Workshops.IEEE,2012:247-252 [20] Li L,Vaidyanathan K,Trivedi K S.An approach for estimation of software aging in a web server [C]∥2002 International Symposium on Empirical Software Engineering.IEEE,2002:91-100 [21] Yan Yong-quan,Guo Ping.Predicting resource consumption in a Web server using ARIMA model [J].Journal of Beijing Institute of Technology,2014,4(4):502-510 [22] El-Shishiny H,Sobhy Deraz S,Badreddin OB.Mining software aging:A neural network approach [C]∥IEEE Symposium on Computers and Communications.Marrakech,Morocco:IEEE,2008:182-187 [23] Avritzer A,Weyuker E.Monitoring Smoothly Degrading Sys-tems for Increased Dependability [J].Empirical Software Eng.J.,1997,2(1):59-77 |
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