Lubina Grigorova

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Traffic shaping effect may have significant impact on end-to-end Quality of Service (QoS) provisioning. Therefore, it should be carefully studied in order to allow the creation of appropriate traffic models to be used for simulations. First, to demonstrate the traffic shaping effect, we present statistical analyses on real-time measurements of diverse(More)
In this paper, we show statistical analyses of several types of traffic sources in a UMTS network, namely, voice, video, and data sources. For each traffic source type measurements were collected in order to, on the one hand, gain better understanding of the statistical characteristics of the sources and, on the other hand, enable forecasting traffic(More)
Resource management schemes in current data centers, including cloud environments, are not well equipped to handle the dynamic variation in traffic caused by the large diversity of traffic sources, source mobility patterns, and underlying network characteristics. Part of the problem is lacking knowledge on the traffic source behaviour and its proper(More)
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