Novel distributed call admission control solution based on machine learning approach

Abul Bashar; Gerard Parr; Sally McClean; Bryan Scotney; Detlef Nauck

doi:10.1109/INM.2011.5990495

Novel distributed call admission control solution based on machine learning approach

Abul Bashar, Gerard Parr, Sally McClean, Bryan Scotney, Detlef Nauck

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

The advent of IP-based Next Generation Network (NGN) and its guaranteed QoS promise has attracted significant attention from both service providers and subscribers. However, to fulfil the said promise, there is a need to provide effective Call Admission Control (CAC) based QoS provisioning solutions which are autonomous, intelligent and scalable.

Original language	English
Title of host publication	Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011
Publisher	The Institute of Electrical and Electronics Engineers (IEEE)
Pages	871-881
Number of pages	11
ISBN (Electronic)	978-1-4244-9221-3, 978-1-4244-9220-6
ISBN (Print)	978-1-4244-9219-0
DOIs	https://doi.org/10.1109/INM.2011.5990495
Publication status	Published - 2011
Event	12th IFIP/IEEE International Symposium on Integrated Network Management - Dublin, Ireland Duration: 23 May 2011 → 27 May 2011

Conference

Conference	12th IFIP/IEEE International Symposium on Integrated Network Management
Abbreviated title	IM 2011
Country/Territory	Ireland
City	Dublin
Period	23/05/11 → 27/05/11

Access to Document

10.1109/INM.2011.5990495

Cite this

Bashar, A., Parr, G., McClean, S., Scotney, B., & Nauck, D. (2011). Novel distributed call admission control solution based on machine learning approach. In Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011 (pp. 871-881). The Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/INM.2011.5990495

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title = "Novel distributed call admission control solution based on machine learning approach",

abstract = "The advent of IP-based Next Generation Network (NGN) and its guaranteed QoS promise has attracted significant attention from both service providers and subscribers. However, to fulfil the said promise, there is a need to provide effective Call Admission Control (CAC) based QoS provisioning solutions which are autonomous, intelligent and scalable.",

author = "Abul Bashar and Gerard Parr and Sally McClean and Bryan Scotney and Detlef Nauck",

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doi = "10.1109/INM.2011.5990495",

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note = "12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011 ; Conference date: 23-05-2011 Through 27-05-2011",

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Bashar, A, Parr, G, McClean, S, Scotney, B & Nauck, D 2011, Novel distributed call admission control solution based on machine learning approach. in Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011. The Institute of Electrical and Electronics Engineers (IEEE), pp. 871-881, 12th IFIP/IEEE International Symposium on Integrated Network Management, Dublin, Ireland, 23/05/11. https://doi.org/10.1109/INM.2011.5990495

Novel distributed call admission control solution based on machine learning approach. / Bashar, Abul; Parr, Gerard; McClean, Sally et al.
Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011. The Institute of Electrical and Electronics Engineers (IEEE), 2011. p. 871-881.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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