Hi to all,
I am working on multicriterial network analysis using data from Zabbix. During work, I found that it would be nice to have mathematical formulas in trends. Maybe directly in trends or another table.
Today, we know very little informations about values during trends period. But it would be very easy to add math formula which could aproximate data inside that interval. If it is not possible to approximate data, we could use NULL math formula.
For start, maybe polynomical approximation is enough.
D=ax^2+bx+c , so we need only three float numbers. For future use, maybe it is good to add enum column, which could select function. (polynom, logaritm, ...).
I think that many items history can be approximated using polynom with big success. With little amount of overhead, we have great informations about data inside interval.
Theoreticaly, it is not so complicated to add approximation to housekeeper process. Math approximation can be later used for better focused graphs in history or better prediction of data using some external neural network.
What do you think about this?
I am working on multicriterial network analysis using data from Zabbix. During work, I found that it would be nice to have mathematical formulas in trends. Maybe directly in trends or another table.
Today, we know very little informations about values during trends period. But it would be very easy to add math formula which could aproximate data inside that interval. If it is not possible to approximate data, we could use NULL math formula.
For start, maybe polynomical approximation is enough.
D=ax^2+bx+c , so we need only three float numbers. For future use, maybe it is good to add enum column, which could select function. (polynom, logaritm, ...).
I think that many items history can be approximated using polynom with big success. With little amount of overhead, we have great informations about data inside interval.
Theoreticaly, it is not so complicated to add approximation to housekeeper process. Math approximation can be later used for better focused graphs in history or better prediction of data using some external neural network.
What do you think about this?
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