Allan T. Andersen

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We present a simple Markovian framework for modeling packet traffic with variability over several time scales. We present a fitting procedure for matching second-order properties of counts to that of a second-order self-similar process. Our models essentially consist of superpositions of two-state MMPP’s. We illustrate that a superposition of four two-state(More)
We present a modelling framework and a fitting method for modelling second order self-similar behaviour with the Markovian Arrival Process (MAP). The fitting method is based on fitting to the autocorrelation function of counts for a second order selfsimilar process. It i s shown that with this fitting algorithm at is possible closely to match the(More)
The work consists of a statistical study of the workload on a labour ward. This included a study of the admission/birth frequency and an investigation of the factors that influenced the process of admissions and the time spent on the ward. Also the relation between the number of midwives and women in labour present on the ward was investigated. It was found(More)
In this paper we consider a single Asynchronous Transfer Mode (ATM) transmission link, to which Constant Bit Rote (CBR) or Variable Bit Rate (VBR) and Available Bit Rate (ABR) or UnspeciJied Bit Rate (UBR) calls arrive according to independent Poisson processes. CBR/VBR calls (characterized by their equivalent bandwidth) are blocked and leave the system if(More)
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