Research Article
A Peak Prediction Method for Subflow in Hybrid Data Flow
ā | Input: the list of steams; the size of window; the number of predicted steam | ā | Output: the number of subsidiary steam; the number of delay time | (1) | procedure chooseSteam () | (2) | for iterate through the list of steams do | (3) | for iterate through all of the number of delay time do | (4) | for iterate through all of the size of window do | (5) | Calculate and get the correlation coefficient between the delay time and window | (6) | Summing up the correlation coefficients | (7) | Calculate and get the mean of the correlation coefficient | (8) | Update the maximum delay correlation coefficient and the delay time | (9) | Update the maximum delay correlation coefficient and the delay time | (10) | Update the number of the auxiliary data flow | (11) | return the number of the auxiliary data flow and the delay time |
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