Real-time anomaly detection in logs using rule mining and complex event processing at scale

Log data, produced from every computer system and program, are widely used as source of valuable information to monitor and understand their behavior and their health. However, as large-scale systems generate a massive amount of log data every minute, it is impossible to detect the cause of system failure by examining manually this huge size of...

Mounting External Storage in HopsFS

A desirable feature of distributed file systems is to enable clients to mount<br/>external namespaces, allowing them to access physically remote data as if it was<br/>transparently stored in the local cluster. This feature is desirable in a variety of<br/>scenarios, such as in enterprise hybrid-cloud deployments, where some data may be stored...