Enhanced cognitive resource management for QoS-guaranteed service provisioning in home/office network

Authors:
Shahnaza Tursunova;Son Tran Trong;Bong-Kyun Lee;Eun-Young Cho;You-Hyeon Jeong;Young-Tak Kim
Affiliations:
Dept. of Information and Communication Engineering, Graduate School, Yeungnam University Gyeongsan and Network Control Technology Research Team, ETRI, Korea;Dept. of Information and Communication Engineering, Graduate School, Yeungnam University Gyeongsan and Network Control Technology Research Team, ETRI, Korea;Dept. of Information and Communication Engineering, Graduate School, Yeungnam University Gyeongsan and Network Control Technology Research Team, ETRI, Korea;Dept. of Information and Communication Engineering, Graduate School, Yeungnam University Gyeongsan and Network Control Technology Research Team, ETRI, Korea;Dept. of Information and Communication Engineering, Graduate School, Yeungnam University Gyeongsan and Network Control Technology Research Team, ETRI, Korea;Dept. of Information and Communication Engineering, Graduate School, Yeungnam University Gyeongsan and Network Control Technology Research Team, ETRI, Korea
Venue:
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Year:
2009

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Abstract

In this paper, we propose an enhanced cognitive resource management for QoS-aware service provisioning in wired and wireless home/office network. We enhance QoS-aware customer network management (Q-CNM) system. The Q-CNM controls overall management process in home/office network, gathers network information, and processes incoming requests through QoS-aware resource allocation with connection admission control (CAC) function. Especially the cognitive management process at the Q-CNM provides load redistribution, optimized resource utilization for QoS-guaranteed differentiated service provisioning based on obtained knowledge about network. The detailed analysis of QoS-aware resource allocation and cognitive management process at the Q-CNM are explained. The network performance and QoS parameters are analyzed based on experimental implementation of the proposed management scheme in a real testbed environment and ns-2 network simulator