Towards a REST-ful Visualization of Complex Event Streams and Patterns

Abstract

This paper presents a scalable architecture for visualization of complex events, event hierarchies and relations. The goal is to support flexible, multi-level, multidimentional visualization of primitive and composite events to aid faster decision making. Our approach is to apply the concept of Representational State Transfer (REST) that focusses on design of large scale distributed systems. Different visualizations are first and foremost mapped to state representations of Complex Event Processing (CEP) systems. We show how RESTful design can be applied to common CEP visualization requirements such as root-cause analysis. Finally, we present a prototype implementation of the API using a case study of event streams in public procurement