Dynamic complex event processing — Adaptive rule engine

Abstract

Recently Complex Event Processing has emerged as a lightweight way to monitor multiple data streams to identify events or patterns of interest. Complex Event Processing is a rule based technology. Rules which represent the patterns of interest are defined by domain experts. Existing CEP engines have limitation on addition, deletion and modification of rules. Rules are configured initially once and are not changed later. Some of the engines support initial configuration and occasionally support addition of rules at runtime using the polling mechanism. This paper proposes a dynamic CEP by making the rule engine adaptive by using Event driven or push based approach for updating the rules dynamically in the Complex Event Processing System at runtime. Event driven approach facilitates Knowledgebase to update rules without polling or observing any resource and hence enhances the system performance. The resulting CEP engine with dynamic infrastructure facilitates easy addition and deletion of the rules in an easy and efficient way.