2015-07-23, 06:27
Hi Folks,
I am really impressed by your ambition to analyze the effectivity in such detail.
If we find a more useful computation, I will change it, no problem, but I need arguments not only suggestions to improve own stations.
Let us recal the notations and the original value I have used in the past.
The values consider the last hour.
Strikes (x,s) = number of strikes computed by our network in a rage of x km to station s
Hits (x,s) = number of strikes computed by our network in a range of x km to station s at that station s was involved
Signals (s) = number of signals of station s
Strikes() = total number of strikes computed by our network in the region to that the station sends data (note that some border stations send strikes to several regions)
min (x,y) = minimum of x and y
The old values for the effectivity of a station S were:
Effecitivity S = Hits (50km, S) / Strikes (50km)
Effecitivity M = Hits (500km, S) / Strikes (500km)
Effecitivity L = Hits (5000km, S) / Strikes (5000km)
The disadvantages are the following:
1.) A station S with very very low Hits (5000km, S) can easily get an Effectivity L of 100% if it is placed in a region where all computations can only be done with the help of this station (for example, a border position). Stations in densely populated areas usually get lower values.
2.) If Signals (s) increases, then often Hits (5000km, S) also increases a little bit. Some stations have tenfold its Signals (s) only to increase its effectivity by 1 percent. This increases the load of our servers significantly
So I have added the additional factor:
min (Strikes / Signals (s), Signals (s) / Strikes)
And now your suggestions for a more adequate computation of an effectivity.
I am really impressed by your ambition to analyze the effectivity in such detail.
If we find a more useful computation, I will change it, no problem, but I need arguments not only suggestions to improve own stations.
Let us recal the notations and the original value I have used in the past.
The values consider the last hour.
Strikes (x,s) = number of strikes computed by our network in a rage of x km to station s
Hits (x,s) = number of strikes computed by our network in a range of x km to station s at that station s was involved
Signals (s) = number of signals of station s
Strikes() = total number of strikes computed by our network in the region to that the station sends data (note that some border stations send strikes to several regions)
min (x,y) = minimum of x and y
The old values for the effectivity of a station S were:
Effecitivity S = Hits (50km, S) / Strikes (50km)
Effecitivity M = Hits (500km, S) / Strikes (500km)
Effecitivity L = Hits (5000km, S) / Strikes (5000km)
The disadvantages are the following:
1.) A station S with very very low Hits (5000km, S) can easily get an Effectivity L of 100% if it is placed in a region where all computations can only be done with the help of this station (for example, a border position). Stations in densely populated areas usually get lower values.
2.) If Signals (s) increases, then often Hits (5000km, S) also increases a little bit. Some stations have tenfold its Signals (s) only to increase its effectivity by 1 percent. This increases the load of our servers significantly
So I have added the additional factor:
min (Strikes / Signals (s), Signals (s) / Strikes)
And now your suggestions for a more adequate computation of an effectivity.