IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Fast Algorithms for Measurement-Based Traffic Modeling
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
A Linear Dynamic Model for Design of Stable Explicit-Rate ABR Control Schemes
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Computer Networks: The International Journal of Computer and Telecommunications Networking
Timescale of interest in traffic measurement for link bandwidth allocation design
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Correlation properties of the token leaky bucket departure process
Computer Communications
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Consider a class of queueing systems which can be modeled by a finite quasi-birth-death (QBD) process. In this paper we develop a powerful computational technique for spectral analyses (i.e. second-order statistics) of output, queue and loss. Emphasis is placed on output power spectrum and input-output coherence function in response to various input power spectral properties and system parameters. The coherence function is defined to measure linear relationship between input and output processes. A key technical contribution of this paper is the exploration of linearity of low frequency traffic flow. Through the evaluation of the coherence function, one can identify a so-called nonlinear break frequency, /spl omega//sub b/, under which the low frequency traffic stay intact via a queueing system. Such a low frequency I/O linearity plays an important role in characterizing the output process, which may form a partial input to other "downstream" queues of the network. After all, it is the "upstream" output low frequency characteristics that will have most impact on the "downstream" queueing performance. Our study further indicates that the link capacity required by an input process is essentially characterized by its maximum input rate filtered at /spl omega//sub b/.