Method for predicting WEB service connection success rate
A technology of WEB service and forecasting method, applied in the direction of digital transmission system, data exchange network, electrical components, etc., can solve the problems of constant assumption deviation of related parameters, underestimation of WEB service performance, overestimation, etc., so as to improve the accuracy of forecasting The effect of rate and accuracy
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Embodiment 1
[0030] Embodiment one: if figure 1 As shown, firstly, the connection success rate data sequence of the WEB service is obtained at fixed time intervals; the connection success rate data sequence of the WEB service is obtained by testing the url address of the WEB service on the SOAP UI test platform.
[0031] Set the connection success rate data sequence to have connection success rate values at t moments, and the connection success rate value is cr(i), 1≤i≤t, 1≤t≤∞;
[0032] Then perform interval classification on the obtained WEB service connection success rate data sequence;
[0033] The minimum value of t connection success rates is MIN, MIN=min{cr(i)|1≤i≤t};
[0034] The maximum value among t connection success rates is MAX, MAX=max{cr(i)|1≤i≤t};
[0035] Divide the interval from MIN to MAX into p categories, p is a positive integer; set the mapping function from the xth connection success rate value to the lth category as map(x), 1≤x≤t, 1≤l≤ p; if and only if ...
Embodiment 2
[0047] Embodiment two: if figure 2 As shown, the process of this embodiment is basically the same as that of Embodiment 1, the difference is: after calculating the average increment EINC of the connection success rate value at time t+1 relative to the connection success rate value at time t, calculate PRCR=cr (t)+EINC, get PRCR.
[0048]Then set t connection success rate measurement values, calib(x) is the incremental correction value between adjacent connection success rate measurement values, 1≤x≤t; calculate calib(x)=inc(map(x)) -(cr(x+1)-cr(x)), get the incremental correction value between adjacent connection success rate measurement values;
[0049] For the t connection success rate data series as a whole, set its average incremental correction value to ECALIB;
[0050] calculate Get the average incremental correction value of the connection success rate data series.
[0051] Finally, the predicted value of the connection success rate is adjusted by the average incr...
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