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Inferring arrival rate statistics of individual flows from aggregated-flow rate measurements
著者
  Masato Tsuru, Tetsuya Takine, Yuji Oie
 
雑誌名/会議名
  Proc. of 2003 Symposium on Applications and the Internet (SAINT 2003), pp. 257-266, Jan. 27 - 31, Orlando, Florida 2003 年 1 月
 
アブストラクト
  For a statistical perspective of global traffic flows on a large network, the authors have proposed a method for inferring unobservable arrival rate statistics of individual flows based solely on measurements of the aggregated-flow rates, which can be easily measured at some network links such as router interfaces. The above method, while having potential for inferring arrival rate statistics of various kinds of flows without the need to identify the flow to which each packet belongs, originally has limited practical applicability. In this paper, therefore, to extend the range of application of the method, the following improvements are proposed: i) finding the minimum effective rate of each flow and inferring a statistic of the difference between the minimum effective rate and the flow rate itself; ii) quantizing rate values into bins with an appropriate bin size; and iii) inferring rate statistics of some flows indirectly from those of some other well inferable flows. Simulations are performed, and the proposed improvements are shown to allow the mean rate inference of each flow in cases that the previous method have been unable to treat.
 
キーワード
  Measurement
 
記述言語
  English
 
 

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