e9link/AI-Graph
Train an artificial intelligent model to recognize abnormal traffic graphs or KPI graphs. Great for performance or IT engineers to figure out abnormal graphs from thousands of traffic graphs like cacti or KPI graphs from telecom OSS.
This tool helps performance and IT engineers quickly identify unusual patterns in network traffic or Key Performance Indicator (KPI) graphs. It takes raw time-series data from systems like Cacti or telecom OSS, analyzes it, and flags graphs that show sudden drops (outages) or flat lines (capacity limits), helping users pinpoint problems efficiently amongst thousands of graphs.
No commits in the last 6 months.
Use this if you are an IT or performance engineer managing a large number of network traffic or KPI graphs and need to automate the detection of common anomalies like outages or capacity limits.
Not ideal if you need to detect highly subtle or novel types of graph anomalies beyond sudden drops and plateaus, or if your graph data is not from Cacti or similar time-series monitoring systems.
Stars
9
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 08, 2018
Commits (30d)
0
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