Investigate machine learning algorithms to detect anomalies incomputing infrastructures in real-time

Metafor is developing a new class of IT system management solution to monitor computer and application activities, and alert when anomalous behavior occurs. Current commercial tools for anomaly detection use simple statistical rules and thresholds to detect anomalies. These methods are failing for today’s dynamic cloud environment where change is constant. As a result, IT operators are flooded with false alerts; become overwhelmed with alert fatigue and learn to ignore the alerts.

Investigate machine learning algorithms to detect anomalies in computing infrastructures in real-time

The industry partner, Metafor is developing a new class of IT system management solution. As part of this project, Metafor is building a product feature that monitors computer and network activities and looks for signs of anomalies. This is an important problem as anomalies are usually associated with abnormal user or system behaviors that can potentially result in problems such as system breakdown.

Investigate parametric machine learning algorithms to develop anomaly detection methods on real-time data

The industry partner, Metafor is developing a new class of IT system management solution. As part of this project, Metafor is building a product feature that monitors computer and network activities and looks for signs of anomalies. This is an important problem as anomalies are usually associated with abnormal user or system behaviors that can potentially result in problems such as system breakdown.

Investigate machine learning algorithms to develop anomaly detection methods

The industry partner, Metafor is developing a new class of IT system management solution. As part of this project, Metafor is building a product feature that monitors computer and network activities and looks for signs of anomalies. This is an important problem as anomalies are usually associated with abnormal user or system behaviors that can potentially result in problems such as system breakdown.

Research on High-Performance Tree Differencing Algorithms

Metafor is developing a new class of IT system management solutions and as a part of this, Metafor wants a method to show differences between multiple deployed instances of an application. To implement this, Metafor requires an accurate and high-performance generalized tree differencing algorithm. Differencing algorithms are used for comparing different versions of a document or snapshots of data to find similarities and differences between them. And tree differencing algorithms perform differencing on hierarchical or treestructured data.