IEEE/ACM Transactions on Networking (TON)
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Contributions toward real-time services on packet switched networks
Contributions toward real-time services on packet switched networks
In-service monitoring for cell loss quality of service violations in ATM networks
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Proof of a fundamental result in self-similar traffic modeling
ACM SIGCOMM Computer Communication Review
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Heavy Tails and Long Range Dependence in On/Off Processes and Associated Fluid Models
Mathematics of Operations Research
IEEE/ACM Transactions on Networking (TON)
Tail probabilities for a multiplexer with self-similar traffic
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
MCPIC: a video coding algorithm for transmission and storage applications
IEEE Communications Magazine
Variable-bit-rate traffic control in B-ISDN
IEEE Communications Magazine
Resource allocation for broadband networks
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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Performance monitoring systems are becoming increasingly important in providing quality-of-service (QoS) based services and service guarantees. Performance monitoring can occur at different levels and different timescales. Either passive measurements or active measurements can be employed. Currently, a large amount of work has gone into developing mechanisms and protocols for performance and traffic monitoring at network level and large timescales. In comparison, little work has been done to use measurement information at small timescales for tackling network performance degradation and managing congestion in operational networks in real time. In this paper, we investigate a real-time loss performance monitoring and estimation scheme based on virtual buffer techniques. The proposed scheme is used to perform measurements at lower level, i.e. network node level, and small timescales, which can be used to provide real-time QoS information for network traffic and congestion control in ATM networks. The proposed scheme only requires modest computation resources. Virtual buffer techniques enable the scheme to obtain QoS information in a much reduced monitoring period, which is important for instantaneous network traffic and congestion control actions.