Complex Event Processing describes the problem of timely and continuous processing of event streams. The load of Complex Event Processing systems can vary (e.g., event rates). Static resource provision leads to higher monetary costs because enough resources have to be provided to efficiently handle peak loads. Therefore, most of the time the resources will not be fully utilized. One way to achi...

Our research project aims to build an infrastructure that can efficiently and seamlessly to meet the demanding requirements of business event stream-based analytical applications. We focus on the complex event analysis on event streams, QoS-aware event processing services, and a novel event stream processing model that seamlessly and efficiently combines event processing services. That model is...

A huge volume of Linked Data has been published on the Web, yet is not processable by Complex Event Processing (CEP) or Event Stream Processing (ESP) engines. This paper presents a framework to bridge this gap, under which Linked Data are first translated into events conforming to a lightweight ontology, and then fed to CEP engines. The event processing results will also be published back onto ...

Abstract Complex Event Processing (CEP) is a modern software technology for the dynamic analysis of continuous data streams. CEP able searching extremely large streams in real time presence event patterns. So far, specifying patterns rules still manual task based on expertise domain experts. This paper presents novel bat-inspired swarm algorithm automatically mining rule that express relevant c...