Abstract
In this paper, a QoS-Adaptive Notification Service (QANS) scheme is proposed to prevent system overload, in which the Fuzzy-Smith control approach is applied. Different with traditional admission control, QANS adaptively adjusts the QoS level of task to control the service frequency of service provider by real-time monitoring the event channel. As a result, the system load is controlled and the performance of notification service is guaranteed. QANS is independent of the mathematical model of event channel and provides a non-linear control action, which eliminate the control error caused by inaccurate system model and linear assumption. Experimental results show that the proposed QANS scheme outperforms traditional event channel controllers in terms of system load control, response delay, and task miss-rate.
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References
PrismTech: Openfusion notification service: Performance evaluation. Website (2001), http://www.prismtechnologies.com
Gore, P., Schmidt, D., Gill, C., Pyarali, I.: The design and performance of a real-time notification service. In: Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium, pp. 112–120. IEEE Computer Society Press, Los Alamitos (2004)
O’Ryan, C., Schmidt, D.C.: The design and performance of real-time CORBA event and notification services. In: OMG Second Workshop on Real-time and Embedded Distributed Object Computing (2001)
Lee, W., Sabata, B.: Admission control and QoS negotiations for soft-real time applications. In: ICMCS, vol. 1, pp. 147–152 (1999)
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 13, 80–96 (2002)
Lu, C., Abdelzaher, T.F., Stankovic, J.A., Son, S.H.: A feedback control architecture and design methodology for service delay guarantees in web servers. Technical report, Charlottesville, VA, USA (2001)
Xiaoan, S.: Control Theory-based Adaptive Real-Time Resource Management. PhD thesis, Northwestern Polytechnical University, Xi’an, PRC (2005)
Mamdani, E.H.: Application of fuzzy algorithm for control of simple dynamic plant. Proc. IEEE 12(12), 1585–1588 (1974)
Fatta, G.D., Re, G.L., Urso, A.: A fuzzy approach for the network congestion problem. In: ICCS 2002. LNCS, pp. 286–295. Springer, Heidelberg (2002)
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Wang, Y., Zhou, X. (2007). Fuzzy-Smith Control for QoS-Adaptive Notification Service. In: Indulska, J., Ma, J., Yang, L.T., Ungerer, T., Cao, J. (eds) Ubiquitous Intelligence and Computing. UIC 2007. Lecture Notes in Computer Science, vol 4611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73549-6_111
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DOI: https://doi.org/10.1007/978-3-540-73549-6_111
Publisher Name: Springer, Berlin, Heidelberg
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