Simplifying Network Management with Fuzzy Logic

Sohail, Shaleeza; Khanum, Aasia

doi:10.1109/iccw.2008.42

Cited by 9 publications

(3 citation statements)

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“…In [16], Sohail and Khanum investigate the use of fuzzy logic for network management systems. The article suggests that network management can benefit immensely from the use of fuzzy logic in various possible applications areas.…”

Section: Related Workmentioning

confidence: 99%

“…As shown in [16], fuzzy logic can be integrated with management tasks to optimize and customize their performance. This section presents the implementation of a fuzzy rule based system within the CNQF RB and its use case scenario for adaptive class based resource allocation to support policy-driven admission control.…”

Section: Fuzzy Based Adaptive Resource Allocationmentioning

confidence: 99%

“…Using a fuzzy rule base, various performance metrics are used to decide when to switch from centralized to distributed Bandwidth Broker architecture as well as the number and optimum placement of Bandwidth Broker entities. Different from [16], our work investigates the application of fuzzy logic to a different problem in network management i.e., dynamic resource allocation for enhanced admission control especially for tiered services within practical PBNM systems, rather than Bandwidth Broker placement or their optimum topology selection.…”

Section: Related Workmentioning

confidence: 99%

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Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation

et al. 2012

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Fixed and wireless networks are increasingly converging towards common connectivity with IP-based core networks. Providing effective end-to-end resource and QoS management in such complex heterogeneous converged network scenarios requires unified, adaptive and scalable solutions to integrate and co-ordinate diverse QoS mechanisms of different access technologies with IP-based QoS. Policy-Based Network Management (PBNM) is one approach that could be employed to address this challenge. Hence, a policy-based framework for end-to-end QoS management in converged networks, CNQF (Converged Networks QoS Management Framework) has been proposed within our project. In this paper, the CNQF architecture, a Java implementation of its prototype and experimental validation of key elements are discussed. We then present a fuzzy-based CNQF resource management approach and study the performance of our implementation with real traffic flows on an experimental testbed. The results demonstrate the efficacy of our resource-adaptive approach for practical PBNM systems

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Section: Related Workmentioning

confidence: 99%

Section: Fuzzy Based Adaptive Resource Allocationmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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