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Throughput Prediction for TCP Bulk Transfers: TCP Segment Partitioning, Throughput Prediction and Predictability factors - Softcover
Synopsis
Predicting the throughput of large TCP transfers is important for a broad class of applications. This paper focuses on the design, empirical evaluation and analysis of TCP throughput predictors. We first classify TCP throughput prediction techniques into two categories: Formula-Based and History-Based. Within each class, we develop representative prediction algorithms, which we then evaluate empirically over the RON testbed. FB prediction relies on mathematical models that express the TCP throughput as a function of the characteristics of the underlying network path. It does not rely on previous TCP transfers in the given path and it can be performed with non intrusive network measurements. We show that the FB method is accurate only if the TCP transfer is window-limited to the point that it does not saturate the underlying path, and explain the main causes of the prediction errors. HB techniques predict the throughput of TCP flows from a time series of previous TCP throughput measurements on the same path, when such a history is available. We show that even simple HB predictors,like Moving Average and Holt-Winters, using a history of few and sporadic samples can be quite accurate.
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About the Author
M.Tech in C.S.E from Kalyani Govt. Engg. College. Asst. Prof in the Department of Computer Science at Global Institute of Management and Technology, Krishnagar, Nadia, W.B. India. Visiting Lecturer in the Department of Computer Science at Sam Higginbottom Inst. Of Agri., Tech. & Sc. – Deemed University (Study Centre), Krishnagar, Nadia, W.B. India.
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Throughput Prediction for TCP Bulk Transfers : TCP Segment Partitioning, Throughput Prediction and Predictability factors
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LAP Lambert Academic Publishing, 2012
ISBN 10: 3848448017
ISBN 13: 9783848448012
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Predicting the throughput of large TCP transfers is important for a broad class of applications. This paper focuses on the design, empirical evaluation and analysis of TCP throughput predictors. We first classify TCP throughput prediction techniques into two categories: Formula-Based and History-Based. Within each class, we develop representative prediction algorithms, which we then evaluate empirically over the RON testbed. FB prediction relies on mathematical models that express the TCP throughput as a function of the characteristics of the underlying network path. It does not rely on previous TCP transfers in the given path and it can be performed with non intrusive network measurements. We show that the FB method is accurate only if the TCP transfer is window-limited to the point that it does not saturate the underlying path, and explain the main causes of the prediction errors. HB techniques predict the throughput of TCP flows from a time series of previous TCP throughput measurements on the same path, when such a history is available. We show that even simple HB predictors,like Moving Average and Holt-Winters, using a history of few and sporadic samples can be quite accurate. Seller Inventory # 9783848448012
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Throughput Prediction for TCP Bulk Transfers
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ghosh AritraM.Tech in C.S.E from Kalyani Govt. Engg. College. Asst. Prof in the Department of Computer Science at Global Institute of Management and Technology, Krishnagar, Nadia, W.B. India. Visiting Lecturer in the Department of Co. Seller Inventory # 5522924
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Throughput Prediction for TCP Bulk Transfers | TCP Segment Partitioning, Throughput Prediction and Predictability factors
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Taschenbuch. Condition: Neu. Throughput Prediction for TCP Bulk Transfers | TCP Segment Partitioning, Throughput Prediction and Predictability factors | Aritra Ghosh (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848448012 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106522326
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Throughput Prediction for TCP Bulk Transfers: TCP Segment Partitioning, Throughput Prediction and Predictability factors
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