Cloud PARTE: Elastic Complex Event Processing based on Mobile Actors

Traffic monitoring or crowd management systems produce large amounts of data in
the form of events that need to be processed to detect relevant incidents.
Rule-based pattern recognition is a promising approach for these
applications, however, increasing amounts of data as well as large and complex
rule sets demand for more and more processing power and memory. In order to
scale such
applications, a rule-based pattern detection system needs to be distributable
over multiple machines. Today's approaches are however focused on static
distribution of rules or do not support reasoning over the full set of events.

We propose Cloud PARTE, a complex event detection system that implements the Rete
algorithm on top of mobile actors. These actors can migrate between machines to
respond to changes in the work load distribution.
Cloud PARTE is an extension of \parte and offers the first rule engine specifically
tailored for continuous complex event detection that is able to benefit from
elastic systems as provided by cloud computing platforms.
It supports
fully automatic load balancing and supports online rules with access to the
entire event pool.