Abstract
This paper presents a method and a framework for adaptive control in Application Service Management environments. The controlled system is treated as a “black-box” by observing its operation during normal work or load conditions. Run-time metrics are collected and persisted creating a Knowledge Base of actual system states. Equipped with such knowledge we define system inputs, outputs and effectively select high/low Service Level Agreements values, and good/bad control actions from the past. On the basis of gained knowledge a training set is constructed, which determines the operation of a neural controller deployed in the application run-time. Control actions are executed in the background of the current system state, which is then again monitored and stored extending the states repository, giving views on the appropriateness of the control, which is frequently evaluated.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bigus, J.P.: Applying neural networks to computer system performance tuning. In: IEEE International Conference on Neural Networks, pp. 2442–2447 (1994)
Parekh, S., Ghandi, N., Hellberstein, J., Tilbury, D., Jayram, T.S., Bigus, J.: Using Control Theory to Achieve Service Level Objectives In Performance Management. Real-Time Systems 23(1-2), 127–141 (2000)
Bigus, J.P., Hellerstein, J.L., Jayram, T.S., Squillante, M.S.: Autotune: A generic agent for automated performance tuning. In: Practical Application of Intelligent Agents and Multi Agent Technology (2000)
Abdelzaher, T.F., Lu, C.: Modeling and performance control of Internet servers. In: Proceedings of the 39th IEEE Conference on Decision and Control, Sydney, NSW, Australia, vol. 3, pp. 2234–2239 (2000)
Abdelzaher, T.F., Shin, K.G., Bhatti, N.: Performance guarantees for web server end-systems: A control-theoretical approach. IEEE Transactions on Parallel and Distributed Systems (TPDS) 13(1), 80–96 (2002)
Ying, L., Abdelzaher, T., Chenyang, L., Gang, T.: An adaptive control framework for QoS guarantees and its application to differentiated caching. In: Tenth IEEE International Workshop on Issue Quality of Service, pp. 23–32 (2002)
Zhang, R., Lu, C., Abdelzaher, T.F., Stankovic, J.A.: ControlWare: a middleware architecture for feedback control of software performance. In: Proceedings of 22nd International Conference on Distributed Computing Systems, pp. 301–310 (2002)
Abdelzaher, T.F., Stankovic, J., Lu, C.: Feedback performance control in software services. IEEE Control System Magazine 23, pt. 3, 74–89 (2003)
Lu, Y., Abdelzaher, T., Lu, C., Sha, L., Liu, X.: Feedback Control with Queueing-Theoretic Prediction for Relative Delay Guarantees. In: Ninth IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2003) in Web Servers, Toronto, Canada (2003)
Evans, E.: Domain-Driven Design: Tackling Complexity in the Heart of Software, August 20. Addison Wesley (2003) ISBN: 0321125215
Welsh, M., Culler, D.: Adaptive overload control for busy internet servers. In: Proceedings of the 4th Conference on USENIX Symposium on Internet Technologies and Systems, USITS 2003, vol. 4. USENIX Association, Berkeley (2003)
Hellerstein, J.L., Diao, Y., Parekh, S., Tilbury, D.M.: Feedback control of computing systems. Wiley Interscience Publication, John Wiley & Sons (2004) ISBN 9780471266372
Hellerstein, J.L.: Challenges in control engineering of computing systems. In: Proceedings of the American Control Conference, Boston, MA, USA, vol. 3, pp. 1970–1979 (2004)
Abrahao, B., Almeida, V., Almeida, J., Zhang, A., Beyer, D., Safai, F.: Self-Adaptive SLA-Driven Capacity Management for Internet Services. In: 10th IEEE/IFIP Network Operations and Management Symposium - NOMS 2006 (2006)
Bodik, P., Griffith, R., Sutton, C., Fox, A., Jordan, M., Patterson, D.: Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters. In: Proceedings of the 2009 Conference on Hot Topics in Cloud Computing, HotCloud 2009. USENIX Association, Berkeley (2009)
Wang, Z., Chen, Y., Gmach, D., Singhal, S., Watson, B.J., Rivera, W., Zhu, X., Hyser, C.D.: AppRAISE: Application-level Performance Management in Virtualized Server Environment. IEEE Transactions on Network and Service Management 6(4), 240–254 (2009)
Xiong, P., Wang, Z., Jung, G., Pu, C.: Study on performance management and application behavior in virtualized environment. In: IEEE Network Operations and Management Symposium (NOMS), Osaka, pp. 841–844 (April 2010)
Boniface, M., Nasser, B., Papay, J., Phillips, S.C., Servin, A., Xiaoyu, Y., Zlatev, Z., Gogouvitis, S.V., Katsaros, G., Konstanteli, K., Kousiouris, G., Menychtas, A., Kyriazis, D.: Platform-as-a-Service Architecture for Real-Time Quality of Service Management in Clouds. In: Fifth International Conference on Internet and Web Applications and Services (ICIW), p. 155 (May 2010)
Chen, Y., Gmach, D., Hyser, C., Wang, Z., Bash, C., Hoover, C., Singhal, S.: Integrated Management of Application Performance, Power and Cooling in Data Centres. HP Laboratories (2010)
Bertoncini, M., Pernici, B., Salomie, I., Wesner, S.: GAMES: Green Active Management of Energy in IT Service Centres. In: Soffer, P., Proper, E. (eds.) CAiSE Forum 2010. LNBIP, vol. 72, pp. 238–252. Springer, Heidelberg (2011)
Coello Coello, C.A., Van Veldhuizen, D.A., Lamont, G.B.: Evolutionary algorithms for solving multi-objective problems. Genetic algorithms and evolutionary computation, vol. 5. Springer (2002) ISBN 0306467623
The Apache Software Foundation, Apache License, Version 2.0 (January 2004), http://www.apache.org/licenses/LICENSE-2.0
Open Source Initiative OSI - The MIT License, http://www.opensource.org/licenses/MIT
Open Source Initiative OSI - The BSD License, http://www.opensource.org/licenses/bsd-license.php
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sikora, T., Magoulas, G.D. (2012). Neural Adaptive Control in Application Service Management Environment. In: Jayne, C., Yue, S., Iliadis, L. (eds) Engineering Applications of Neural Networks. EANN 2012. Communications in Computer and Information Science, vol 311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32909-8_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-32909-8_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32908-1
Online ISBN: 978-3-642-32909-8
eBook Packages: Computer ScienceComputer Science (R0)