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Andreas Huber 162ef1626c reduce memory usage for computation of cumulative distribution

Before: To compute the cumulative distribution we added every duration
into a LongList. This requires O(n) memory, where n is the number of
values.

Now: We store the durations + the number of occurrences in a
LongLongHashMap. This has the potential to reduce the memory
requirements if durations occur multiple times. There are a lot of
durations with 0, 1, 2 milliseconds. In the worst case every duration
is different. In that case the memory usage doubled with this solution.

Future: We are currently storing durations with milli seconds precision.
We don't have to do that. We cannot draw 100 million different values
on the y-axis in an images with only 1000px.

2019-09-07 18:31:18 +02:00

block-storage

remove dependency to Guava

2019-09-01 15:44:36 +02:00

byte-utils

cleanup and javadoc

2019-08-31 16:52:13 +02:00

data-store

remove dependency to Guava

2019-09-01 15:44:36 +02:00

eclipse

use unix line breaks