Communications of the ACM
Fuzzy logic, neural networks, and soft computing
Communications of the ACM
A comparative analysis of fuzzy versus conventional policing mechanisms for ATM networks
IEEE/ACM Transactions on Networking (TON)
Asynchronous Transfer Mode Networks: Performance Issues
Asynchronous Transfer Mode Networks: Performance Issues
New directions in communications (or which way to the information age?)
IEEE Communications Magazine
Controlling flow and avoiding congestion in broadband networks
IEEE Communications Magazine
Modeling and performance comparison of policing mechanisms for ATM networks
IEEE Journal on Selected Areas in Communications
Flow enforcement algorithms for ATM networks
IEEE Journal on Selected Areas in Communications
Fuzzy neural control of voice cells in ATM networks
IEEE Journal on Selected Areas in Communications
Congestion control and prevention in ATM networks
IEEE Network: The Magazine of Global Internetworking
| Hi-index | 0.24 |
One of the most critical functions in the management of high-speed networks using the ATM technique is that of ''policing''. It has the task of ensuring that each traffic source complies with the traffic parameter negotiated in order to avoid network congestion. In this article we focus on a dual aim. The first is to analyse the performance of a policing mechanism based on Fuzzy Logic for the control of packetized voice sources. The results obtained show an excellent selectivity, close to that of an ideal policer, and a responsiveness, assessed by the combined measures of reaction time and rise time, which is decidedly better than that of the Leaky Bucket. The second aim addresses the capacity of the fuzzy policer in controlling not only the long-term Average Cell Rate but also the Sustainable Cell Rate. Analysis by simulation proves that fuzzy policer is extremely flexible in the combined control of these two traffic descriptors.