On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Analysis, modeling and generation of self-similar VBR video traffic
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Modeling and simulation of self-similar variable bit rate compressed video: a unified approach
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Experimental queueing analysis with long-range dependent packet traffic
IEEE/ACM Transactions on Networking (TON)
In-service monitoring for cell loss quality of service violations in ATM networks
IEEE/ACM Transactions on Networking (TON)
Explaining World Wide Web Traffic Self-Similarity
Explaining World Wide Web Traffic Self-Similarity
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
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
Equivalent capacity and its application to bandwidth allocation in high-speed networks
IEEE Journal on Selected Areas in Communications
In-service monitoring methods-better ways to assure service quality of digital transmission
IEEE Journal on Selected Areas in Communications
Statistical analysis of CCSN/SS7 traffic data from working CCS subnetworks
IEEE Journal on Selected Areas in Communications
A real-time loss performance monitoring scheme
Computer Communications
Traffic measurement and analysis in an ATM-based internet backbone
Computer Communications
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In this paper, we investigate the traffic behaviour of a local ATM network. The major loading application in this network is network file system (NFS). The cell data are collected between switches. The results show that the traces present two different kinds of properties: long-range dependence (LRD) or short-range dependence (SRD). Then we propose a new method for in-service QoS violations and spare capacity estimations. For a typical ATM network, a large number of cells must be observed before we can get a statistically meaningful cell loss probability (CLP) result but these results may be too obsolete for effective network management. On the contrary, it is difficult to choose a suitable representative analytical model for many applications in ATM networks that exhibit varied statistical properties. Besides, finding analytical models may be complex and slow to fit. For both SRD and LRD processes, there exists a relationship between the logarithm of the CLP and the buffer size. The relationship for SRD processes is often linear while it is polynomial for LRD processes. If we can know the traffic presents LRD or SRD, the above relationships help us estimate the CLP of the queuing behaviour. The proposed method in this paper uses a simple regression test to select the suitable model: LRD or SRD. Then it employs the relationships between log(CLP) and buffer size of the selected model. With observations of cell loss for several small-buffer pseudo-queues and the selected regression model, the scheme can estimate the QoS and the spare capacity of the actual system. It requires only a short observation period and it does not need analytical models describing the statistics of traffic. The collected data are used for the basis of the simulation sources and the results of the simulations show the effectiveness of the method for both LRD and SRD trace data.