کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
453077 694709 2010 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
End-to-end quality of service seen by applications: A statistical learning approach
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
End-to-end quality of service seen by applications: A statistical learning approach
چکیده انگلیسی

The focus of this work is on the estimation of quality of service (QoS) parameters seen by an application. Our proposal is based on end-to-end active measurements and statistical learning tools. We propose a methodology where the system is trained during short periods with application flows and probe packets bursts. We learn the relation between QoS parameters seen by the application and the state of the network path, which is inferred from the interarrival times of the probe packets bursts. We obtain a continuous non intrusive QoS monitoring methodology. We propose two different estimators of the network state and analyze them using Nadaraya–Watson estimator and Support Vector Machines (SVM) for regression. We compare these approaches and we show results obtained by simulations and by measures in operational networks.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Networks - Volume 54, Issue 17, 3 December 2010, Pages 3123–3143
نویسندگان
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