Quality of Service-Aware Complex Event Service Composition in Real-time Linked Dataspaces

Feng Gao, Edward Curry

Research output: Chapter in Book or Conference Publication/ProceedingChapterpeer-review

2 Citations (Scopus)

Abstract

The proliferation of sensor devices and services along with the advances in event processing brings many new opportunities as well as challenges for intelligent systems. It is now possible to provide, analyse, and react upon real-time, complex events in smart environments. When existing event services do not provide such complex events directly, an event service composition may be 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 and lack of system robustness. In this chapter, we address these issues by first providing a Quality-of-Service (QoS) aggregation schema for complex event service compositions, and then developing a genetic algorithm to create near-optimal event service compositions efficiently. The approach is evaluated with both real sensor data collected via Internet of Things services and synthesised datasets.

Original languageEnglish
Title of host publicationReal-time Linked Dataspaces
Subtitle of host publicationEnabling Data Ecosystems for Intelligent Systems
PublisherSpringer International Publishing
Pages169-190
Number of pages22
ISBN (Electronic)9783030296650
ISBN (Print)9783030296643
DOIs
Publication statusPublished - 1 Jan 2019

Keywords

  • Complex event processing
  • Dataspaces
  • Internet of Things
  • Modelling
  • Quality-of-service
  • Service composition

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