Fuzzy adaptive connection admission control for real-time applications in ATM-based heterogenous networks

Biao Chen, Yingbi Zhang, John Yen, Wei Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we study connection-oriented service in heterogeneous network for real-time applications. Many existing distributed mission-critical systems are deployed over heterogeneous networks. Hence, it is necessary to extend the real-time communication technology to encompass heterogeneous networks. A connection can be considered as a contract between an application and the network: the application specifies the characteristics of the traffic which it may generate and the network agrees to provide the requested quality of service (QoS) to the application. For real-time applications, the most crucial QoS is to meet deadline requirements. We propose a fuzzy intelligent system for connection admission control (CAC). Upon a request of connection establishment, the CAC determines if the worst case delays of the requesting and existing connections can be satisfied given the available network resources. If so, the CAC allocates appropriate network resources to the requesting connection. Our system uses fuzzy logic to capture the knowledge for adapting its strategy to dynamic system status. The parameters in fuzzy logic rule can be identified using genetic algorithms. Our approach is compatible with current network standards and hence can be readily used in practical systems.

Original languageEnglish (US)
Title of host publicationMexico-USA Collaboration in Intelligent Systems Technologies
Editors Anon
PublisherIEEE
Pages215-220
Number of pages6
StatePublished - 1996
EventProceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS - Cancun, Mex
Duration: Nov 12 1996Nov 15 1996

Other

OtherProceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS
CityCancun, Mex
Period11/12/9611/15/96

Fingerprint

Automatic teller machines
Access control
Heterogeneous networks
Fuzzy logic
Quality of service
Intelligent systems
Dynamical systems
Genetic algorithms
Communication

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Chen, B., Zhang, Y., Yen, J., & Zhao, W. (1996). Fuzzy adaptive connection admission control for real-time applications in ATM-based heterogenous networks. In Anon (Ed.), Mexico-USA Collaboration in Intelligent Systems Technologies (pp. 215-220). IEEE.
Chen, Biao ; Zhang, Yingbi ; Yen, John ; Zhao, Wei. / Fuzzy adaptive connection admission control for real-time applications in ATM-based heterogenous networks. Mexico-USA Collaboration in Intelligent Systems Technologies. editor / Anon. IEEE, 1996. pp. 215-220
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abstract = "In this paper, we study connection-oriented service in heterogeneous network for real-time applications. Many existing distributed mission-critical systems are deployed over heterogeneous networks. Hence, it is necessary to extend the real-time communication technology to encompass heterogeneous networks. A connection can be considered as a contract between an application and the network: the application specifies the characteristics of the traffic which it may generate and the network agrees to provide the requested quality of service (QoS) to the application. For real-time applications, the most crucial QoS is to meet deadline requirements. We propose a fuzzy intelligent system for connection admission control (CAC). Upon a request of connection establishment, the CAC determines if the worst case delays of the requesting and existing connections can be satisfied given the available network resources. If so, the CAC allocates appropriate network resources to the requesting connection. Our system uses fuzzy logic to capture the knowledge for adapting its strategy to dynamic system status. The parameters in fuzzy logic rule can be identified using genetic algorithms. Our approach is compatible with current network standards and hence can be readily used in practical systems.",
author = "Biao Chen and Yingbi Zhang and John Yen and Wei Zhao",
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Chen, B, Zhang, Y, Yen, J & Zhao, W 1996, Fuzzy adaptive connection admission control for real-time applications in ATM-based heterogenous networks. in Anon (ed.), Mexico-USA Collaboration in Intelligent Systems Technologies. IEEE, pp. 215-220, Proceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS, Cancun, Mex, 11/12/96.

Fuzzy adaptive connection admission control for real-time applications in ATM-based heterogenous networks. / Chen, Biao; Zhang, Yingbi; Yen, John; Zhao, Wei.

Mexico-USA Collaboration in Intelligent Systems Technologies. ed. / Anon. IEEE, 1996. p. 215-220.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - In this paper, we study connection-oriented service in heterogeneous network for real-time applications. Many existing distributed mission-critical systems are deployed over heterogeneous networks. Hence, it is necessary to extend the real-time communication technology to encompass heterogeneous networks. A connection can be considered as a contract between an application and the network: the application specifies the characteristics of the traffic which it may generate and the network agrees to provide the requested quality of service (QoS) to the application. For real-time applications, the most crucial QoS is to meet deadline requirements. We propose a fuzzy intelligent system for connection admission control (CAC). Upon a request of connection establishment, the CAC determines if the worst case delays of the requesting and existing connections can be satisfied given the available network resources. If so, the CAC allocates appropriate network resources to the requesting connection. Our system uses fuzzy logic to capture the knowledge for adapting its strategy to dynamic system status. The parameters in fuzzy logic rule can be identified using genetic algorithms. Our approach is compatible with current network standards and hence can be readily used in practical systems.

AB - In this paper, we study connection-oriented service in heterogeneous network for real-time applications. Many existing distributed mission-critical systems are deployed over heterogeneous networks. Hence, it is necessary to extend the real-time communication technology to encompass heterogeneous networks. A connection can be considered as a contract between an application and the network: the application specifies the characteristics of the traffic which it may generate and the network agrees to provide the requested quality of service (QoS) to the application. For real-time applications, the most crucial QoS is to meet deadline requirements. We propose a fuzzy intelligent system for connection admission control (CAC). Upon a request of connection establishment, the CAC determines if the worst case delays of the requesting and existing connections can be satisfied given the available network resources. If so, the CAC allocates appropriate network resources to the requesting connection. Our system uses fuzzy logic to capture the knowledge for adapting its strategy to dynamic system status. The parameters in fuzzy logic rule can be identified using genetic algorithms. Our approach is compatible with current network standards and hence can be readily used in practical systems.

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Chen B, Zhang Y, Yen J, Zhao W. Fuzzy adaptive connection admission control for real-time applications in ATM-based heterogenous networks. In Anon, editor, Mexico-USA Collaboration in Intelligent Systems Technologies. IEEE. 1996. p. 215-220