Developing Autonomic Feedback Control for Heterogeneous Systems Using Cascaded Controllers

The motivation of the work is based on the static use of reference point values in dynamic feedback control systems that are based on control theoretic techniques. Reference point values are threshold values that values of attributes characterizing system behavior can be compared to. The result of the comparison is used to adjust the tuning parameter of the system being controlled. If the entity being controlled is a server then the best choice for the reference value may depend on many factors such as the required processing times, the machine speed that the server is executing on, etc. This paper illustrates an approach to automatically change the reference value for different server hardware. Comparisons are made between the approach proposed in this paper and other dynamic feedback control approaches. Results show that the proposed approach outperforms the other dynamic feedback control approaches

[1]  Katsuhiko Ogata,et al.  Modern Control Engineering , 1970 .

[2]  Joseph L. Hellerstein,et al.  Using Control Theory to Achieve Service Level Objectives In Performance Management , 2001, 2001 IEEE/IFIP International Symposium on Integrated Network Management Proceedings. Integrated Network Management VII. Integrated Management Strategies for the New Millennium (Cat. No.01EX470).

[3]  Sang Hyuk Son,et al.  A feedback control approach for guaranteeing relative delays in Web servers , 2001, Proceedings Seventh IEEE Real-Time Technology and Applications Symposium.

[4]  Hanan Lutfiyya,et al.  Using feedback control to manage QoS for clusters of servers providing service differentiation , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[5]  S. Parekh,et al.  MIMO control of an Apache web server: modeling and controller design , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[6]  Joseph L. Hellerstein,et al.  Using Control Theory to Achieve Service Level Objectives In Performance Management , 2002, Real-Time Systems.

[7]  Srinivasan Keshav.  A control-theoretic approach to flow control , 1991, SIGCOMM 1991.

[8]  Joseph L. Hellerstein,et al.  Feedback control of a Lotus Notes server: modeling and control design , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[9]  Hanan Lutfiyya,et al.  A Policy-Based Framework for Managing Data Centers , 2006, 2006 IEEE/IFIP Network Operations and Management Symposium NOMS 2006.

[10]  Saverio Mascolo.  Classical control theory for congestion avoidance in high-speed Internet , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[11]  T.F. Abdelzaher,et al.  Web server QoS management by adaptive content delivery , 1999, 1999 Seventh International Workshop on Quality of Service. IWQoS'99. (Cat. No.98EX354).

[12]  Zhen Liu,et al.  Traffic model and performance evaluation of Web servers , 2001, Perform. Evaluation.

[13]  ByoungSeon Choi,et al.  Arma Model Identification , 1992 .