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.

Stations: