The function will use the following three componentsTruth Score depends on three metrics:
1) Dataset Activity
2) Number of unique programs reading from a dataset
3) Time since the last read% of Audit Log Messages (40% of the score). This is (Audit Log Messages for a Dataset / Total Audit Log Messages). Programs reads are omitted to avoid redundancy.
2) % of Unique Programs Read (40% of the score). This is (Total Unique Programs reading from dataset / Total programs present)
3) Time Since Last Read (20% of the score, by rank of the most recent read among most recent reads for all datasets)
Sample Output:
Dataset | % of Audit Log MessageMessages | % of unique programs | Time Since Last Read | Score |
---|---|---|---|---|
DS1 | 70 | 60 | 80s | 8572 |
DS2 | 30 | 50 | 1000s | 6842 |
Dataset | % of Audit Log Message | % of unique programs | Time Since Last Read | Score |
---|---|---|---|---|
DS1 | 25 | 30 | 10000s | 7827 |
DS2 | 25 | 7830 | 9000s | 32 |
DS3 | 25 | 30 | 78800s | 37 |
DS4 | 25 | 30 | 7870s | 42 |
Dataset | % of Audit Log Message | % of unique programs | Time Since Last Read | Score | ||
---|---|---|---|---|---|---|
DS1 | 65 | 8980 | DS210s | 25 | 78 | |
DS3DS2 | 1025 | 7040 | DS420s | 541 | 67 | |
Dataset | % of Audit Log Message | Score | ||||
DS1 | 40 | 85 | ||||
DS2 | 32 | 83 | ||||
DS3 | 15 | 77 | ||||
DS4 | 7 | 73 | ||||
DS5 | 3 | 71 | ||||
DS6 | 3 | 71DS3 | 10 | 40 | 40s | 25 |
DS4 | 5 | 10 | 30s | 16 |