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Inferring Origin-Destination Traffic Matrix with Partial Observation on OpenFlow Networks
著者
  山下翔太, 内田真人, 鶴正人
 
雑誌名/会議名
  IEICE 総合大会 2015 年 3 月
 
アブストラクト
  Network-tomographic approaches to indirect inference of Origin-Destination (OD) traffic matrices have been receiving attention, where the statistical characteristics of each unobservable flow are inferred from simultaneous observations of a set of aggregated-flows. In this paper, by observing a part of network-flows (we call them target flows) from OpenFlow functions, we develop a method to infer OD traffic matrices of the flow rate mean and variance in a relatively short time-scale. The proposed method combines a network tomographic ODTM estimation from frequent short-time scale observations with direct but infrequent observations of a part of network-flows in the O/F context.This simulation can decrease the estimation error with the proposed method.
 
キーワード
  Measurement
 
記述言語
  English
 
 

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