Is time series model suitable for network syslogs considering the fact the messages are sequential and the messages are outputted as a result of dependency between themselves which can range from normal notifications to alarms if there are.
Can the state of the art models like ARIMA be applied ?
What kind of questions can be answered with applying time series models on syslogs ?
Topic time-series
Category Data Science
No, according to your description the syslog is not a time series data.
Time series data means to have a numerical value at each time stamps. For instance, if your log records the CPU usage (a number between 0 to 100%) then it is a time series data.
If you log is a sequence of text message, like the /var/log/syslog in Linux, then it is not a time series data.
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