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- W2117620160 abstract "Accurate of network elements (network bricks) composing end-to-end paths represents a novel and interesting research topic. In heterogeneous scenarios, automatic network bricks can improve the performance of adaptive and network-aware applications. This work proposes an approach, based on Bayesian classifiers, for the of network bricks belonging to a large number of real heterogeneous end-to-end paths. The is performed by means of measurement and off-line observation of delay, jitter, and packet loss. We introduce the term blind identification meaning the capability to identify network bricks, by looking at Quality of Service (QoS) parameters observed on the end-to-end path. We propose first insights and preliminary results regarding the stage, based on both concise and detailed QoS parameters statistics. Moreover, we show some results of the performed using a reduced set of QoS parameters. Data traces and tools used in this work are publicly and freely available at http://www.grid.unina.it/Traffic/." @default.
- W2117620160 created "2016-06-24" @default.
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- W2117620160 date "2006-11-01" @default.
- W2117620160 modified "2023-10-18" @default.
- W2117620160 title "Identification of Network Bricks in Heterogeneous Scenarios" @default.
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- W2117620160 doi "https://doi.org/10.1109/lcn.2006.322177" @default.
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