Queuing theory-based data transmission bandwidth prediction method in intelligent power distribution and consumption business
A technology for intelligent power distribution and business data, applied in digital transmission systems, forecasting, and transmission systems, etc., and can solve problems such as large deviations between bandwidth forecast values and actual demand values.
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[0027] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.
[0028] A queuing theory-based data transmission bandwidth prediction method for intelligent power distribution services, such as figure 1 shown, including the following steps:
[0029] Step 1: Obtain the quality of service QoS requirement parameters of the intelligent power distribution business data;
[0030] Perform statistics on the intelligent power distribution service data collected by the wave recording device to obtain QoS requirement parameters, the QoS requirement parameters include QoS arrival rate λ, QoS packet loss rate P L and QoS delay W s ;
[0031] Step 2: transform the QoS requirement parameter obtained in step 1 into a queuing theory model parameter;
[0032] like figure 2 As shown, the commun...
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