I need advice regarding further steps. I have dataset about computer and their activity during 24 h for several month. I want to find best fit between peers so one computer can relay on other for some service. example data for two peers
If I create graph then it looks like
how to mesure how good they fit to each other? Some of my ideas were
to define some "typical" computer (perfect one that will work only during work work hours) and some how to calculate "distance" from this expected behavior
to calculate intersection area this should be their match but problem is curve shapes.
or do some clusters with dataset to group them.
What I did is track their activity and seek for pattern matching (compare two computer and measure how often they are present and absent in a same time as measure of match) and after I group them choosing random time their availability was 54 %. I am hoping to find better solution for matching.