Abstract
Usage Parameter Control (UPC), or traffic policing in Asynchronous Transfer Mode (ATM) networks, aims at protecting the existing connection from violating the contract with Call Admission Control (CAC) in connection setup phase, in order to protect congestion and violation of the Quality of Service (QoS) of the other connections. UPC performs this, by having penalty measure to malicious users. Thus, UPC functions as the “police” in the ATM network. Many methods or mechanisms have been proposed to function as the traffic policing in ATM networks. These conventional mechanisms can be categorized into two trends: Leaky Bucket (LB) and window mechanisms.
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References
Rathgeb E P (1991) Modeling and Performance Comparison of Policing Mechanisms for ATM Networks, IEEE J. Select. Areas in Commun., Vol. 9, No. 3, pp. 325–334.
Butto M, Cavallero E, Tonietti A (1991) Effectiveness of the Leaky Bucket Policing Mechanism in ATM Networks, IEEE J. Select. Areas Commun., Vol. 9, No. 3, pp. 335–342.
Tarraf A A, Habib I W, Saadawi T N (1994) A Novel Neural Network Traffic Enforcement Mechanism for ATM Networks, IEEE J. Select. Areas Commun., Vol. 12, No. 6, pp. 1088–1096.
Ndousse T D (1994) Fuzzy Neural Control of Voice Cells in ATM Networks, IEEE J. Select. Areas Commun., Vol. 12, No. 9, pp. 1488–1494.
Catania V, Ficili G, Palazzo S, Panno D (1995) A Fuzzy Expert System for Usage Parameter Control in ATM Networks, IEEE GLOBECOM’ 95, Vol. 2, pp. 1338–1342.
Catania V, Ficili G, Palazzo S, Panno D (1996) A Comparative Analysis of Fuzzy versus Conventional Policing Mechanism for ATM Networks, IEEE/ACM Trans. Networking, Vol. 4, pp. 449–459.
Kwok A, McLeod R (1996) ATM Congestion Control using a Fuzzy Neural Network, Canadian Conference on Electrical and Computer Engineering, Vol. 2, pp. 814–817.
Runkler T A, Glesner Z E (1994) Efficient Algorithms for High Resolution Fuzzy Controllers with Piecewise Linearities. Proc. 3rd IEEE Conf. Fuzzy System, Vol. 1, pp. 189–191.
Laongmal J, Benjapolakul W (1999) Aggregate Bandwidth Allocation of Heterogeneous Sources in ATM Networks, IEEE Symposium on Intelligent Signal Processing and Communication Systems, pp. 215–218.
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© 2004 Springer-Verlag Berlin Heidelberg
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Benjapolakul, W., Niruntasukrat, A. (2004). An Application of Neuro-Fuzzy Systems for Access Control in Asynchronous Transfer Mode Networks. In: Stavroulakis, P. (eds) Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18762-9_7
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DOI: https://doi.org/10.1007/978-3-642-18762-9_7
Publisher Name: Springer, Berlin, Heidelberg
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