QoS-Aware Stream Federation and Optimization Based on Service Composition

Feng Gao, Muhammad Intizar Ali, Edward Curry and Alessandra Mileo
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Feng Gao: Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland
Muhammad Intizar Ali: Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland
Edward Curry: Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland
Alessandra Mileo: Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland

International Journal on Semantic Web and Information Systems (IJSWIS), 2016, vol. 12, issue 4, 43-67

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 in urban environments. When existing 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. A sub-optimal service composition may lead to inaccurate event detection, lack of system robustness etc. In this paper, the authors address these issues by first providing a quality-of-service aggregation schema for complex event service compositions and then developing a genetic algorithm to efficiently create near-optimal event service compositions. The authors evaluate their approach with both real sensor data collected via Internet-of-Things services as well as synthesised datasets.

Date: 2016
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