2 projects tagged "Anomaly Detection"
allmon is a generic system for collecting and storing various runtime metrics collections used for system performance, health, quality, and availability monitoring purposes. The system also provides a set of data-mining algorithms useful for further performance analysis. Allmon is designed to harvest different metrics values coming from many areas of monitoring infrastructure. The collected data are based on quantitative and qualitative performance and availability analysis. Allmon collaborates with other analytical tools for OLAP multidimensional analysis and data mining processing. The tool can be used for production as well as for development (profiling) and QA (load testing) purposes.
PyNetSim targets the generation of background traffic and anomaly generation for testing anomaly detection algorithms. It is written basically without simulation in terms of computer science, but it uses parts of simulation theory. Therefore, it is a generator of such traffic types. It deploys its full power when running on many virtual machines.