Ecologically inspired equitable resource distribution between heterogeneous service classes in the NGN

Kumudu S. Munasinghe; Abbas Jamalipour

doi:10.1109/WCNC.2012.6214255

Ecologically inspired equitable resource distribution between heterogeneous service classes in the NGN

Kumudu S. Munasinghe, Abbas Jamalipour

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

The core of the Next Generation Network (NGN) is a converging point of various classes of session flows. As a result, despite the presence of admission control techniques, a competition for resources becomes inevitable. In such an environment, certain flows may be disadvantaged due to others consuming or withholding access to a resource that is limited in availability. Therefore, it is extremely important to explore a solution for equitable resource distribution, which does not disadvantage either class of session flow. In light of this, this paper develops an ecologically inspired graphical theory for equitable resource distribution in a multi-resource, multi-class environment. Optimal resource supply levels required for a stable coexistence could be accurately predicted by the proposed graphical theory. Analytical proof and simulation results are provided for supporting the above argument.

Original language	English
Title of host publication	2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	2683-2687
Number of pages	5
ISBN (Print)	9781467304375
DOIs	https://doi.org/10.1109/WCNC.2012.6214255
Publication status	Published - 1 Apr 2012
Externally published	Yes
Event	2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 - Paris, France Duration: 1 Apr 2012 → 4 Apr 2012

Conference

Conference	2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
Country/Territory	France
City	Paris
Period	1/04/12 → 4/04/12

Access to Document

10.1109/WCNC.2012.6214255

Cite this

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title = "Ecologically inspired equitable resource distribution between heterogeneous service classes in the NGN",

abstract = "The core of the Next Generation Network (NGN) is a converging point of various classes of session flows. As a result, despite the presence of admission control techniques, a competition for resources becomes inevitable. In such an environment, certain flows may be disadvantaged due to others consuming or withholding access to a resource that is limited in availability. Therefore, it is extremely important to explore a solution for equitable resource distribution, which does not disadvantage either class of session flow. In light of this, this paper develops an ecologically inspired graphical theory for equitable resource distribution in a multi-resource, multi-class environment. Optimal resource supply levels required for a stable coexistence could be accurately predicted by the proposed graphical theory. Analytical proof and simulation results are provided for supporting the above argument.",

keywords = "Eco inspired networks, Next Generation Networks, Resource Competition, Resource Management, Sustainability",

author = "Munasinghe, {Kumudu S.} and Abbas Jamalipour",

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doi = "10.1109/WCNC.2012.6214255",

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booktitle = "2012 IEEE Wireless Communications and Networking Conference, WCNC 2012",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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note = "2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 ; Conference date: 01-04-2012 Through 04-04-2012",

}

Munasinghe, KS & Jamalipour, A 2012, Ecologically inspired equitable resource distribution between heterogeneous service classes in the NGN. in 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012., 6214255, IEEE, Institute of Electrical and Electronics Engineers, pp. 2683-2687, 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012, Paris, France, 1/04/12. https://doi.org/10.1109/WCNC.2012.6214255

Ecologically inspired equitable resource distribution between heterogeneous service classes in the NGN. / Munasinghe, Kumudu S.; Jamalipour, Abbas.
2012 IEEE Wireless Communications and Networking Conference, WCNC 2012. IEEE, Institute of Electrical and Electronics Engineers, 2012. p. 2683-2687 6214255.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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T1 - Ecologically inspired equitable resource distribution between heterogeneous service classes in the NGN

AU - Munasinghe, Kumudu S.

AU - Jamalipour, Abbas

PY - 2012/4/1

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N2 - The core of the Next Generation Network (NGN) is a converging point of various classes of session flows. As a result, despite the presence of admission control techniques, a competition for resources becomes inevitable. In such an environment, certain flows may be disadvantaged due to others consuming or withholding access to a resource that is limited in availability. Therefore, it is extremely important to explore a solution for equitable resource distribution, which does not disadvantage either class of session flow. In light of this, this paper develops an ecologically inspired graphical theory for equitable resource distribution in a multi-resource, multi-class environment. Optimal resource supply levels required for a stable coexistence could be accurately predicted by the proposed graphical theory. Analytical proof and simulation results are provided for supporting the above argument.

AB - The core of the Next Generation Network (NGN) is a converging point of various classes of session flows. As a result, despite the presence of admission control techniques, a competition for resources becomes inevitable. In such an environment, certain flows may be disadvantaged due to others consuming or withholding access to a resource that is limited in availability. Therefore, it is extremely important to explore a solution for equitable resource distribution, which does not disadvantage either class of session flow. In light of this, this paper develops an ecologically inspired graphical theory for equitable resource distribution in a multi-resource, multi-class environment. Optimal resource supply levels required for a stable coexistence could be accurately predicted by the proposed graphical theory. Analytical proof and simulation results are provided for supporting the above argument.

KW - Eco inspired networks

KW - Next Generation Networks

KW - Resource Competition

KW - Resource Management

KW - Sustainability

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BT - 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - 2012 IEEE Wireless Communications and Networking Conference, WCNC 2012

Y2 - 1 April 2012 through 4 April 2012

ER -

Ecologically inspired equitable resource distribution between heterogeneous service classes in the NGN

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