QoS-aware Complex Event Service Composition and Optimization using Genetic Algorithms

Feng Gao, Edward Curry, Ali Intizar, Sami Bhiri,, Alessandra Mileo

Technical Report
Abstract. The proliferation of sensor devices and services along with the advances in event processing brings many new opportunities as well as challenges. It is now possible to provide, analyze and react upon real- time, complex events about physical or social environments. When exist- ing event services do not provide such complex events directly, an event service composition maybe required. However, it is difficult to determine which event service candidates (or service compositions) best suit users’ and applications’ quality-of-service requirements. In this paper, we ad- dress this issue by first providing a quality-of-service aggregation schema for complex event service compositions and then developing a genetic al- gorithm to efficiently create optimal event service compositions.