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Computing

, Volume 99, Issue 2, pp 163–181 | Cite as

Situation recognition and handling based on executing situation templates and situation-aware workflows

  • Pascal HirmerEmail author
  • Matthias Wieland
  • Holger Schwarz
  • Bernhard Mitschang
  • Uwe Breitenbücher
  • Santiago Gómez Sáez
  • Frank Leymann
Article

Abstract

Today, the Internet of Things has evolved due to an advanced interconnectivity of hardware devices equipped with sensors and actuators. Such connected environments are nowadays well-known as smart environments. Famous examples are smart homes, smart cities, and smart factories. Such environments should only be called “smart” if they allow monitoring and self-organization. However, this is a great challenge: (1) sensors have to be bound and sensor data have to be efficiently provisioned to enable monitoring of these environments, (2) situations have to be detected based on sensor data, and (3) based on the recognized situations, a reaction has to be triggered to enable self-organization, e.g., through notification delivery or the execution of workflows. In this article, we introduce SitOPT—an approach for situation recognition based on raw sensor data and automated handling of occurring situations through notification delivery or execution of situation-aware workflows. This article is an extended version of the paper “SitRS—Situation Recognition based on Modeling and Executing Situation Templates” presented at the 9th Symposium and Summer School of Service-oriented Computing 2015.

Keywords

Situation recognition IoT Context Integration Cloud computing Workflows Middleware 

Mathematics Subject Classification

68N01 68U35 68M11 

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Copyright information

© Springer-Verlag Wien 2016

Authors and Affiliations

  1. 1.Institute of Parallel and Distributed SystemsUniversity of StuttgartStuttgartGermany
  2. 2.Institute of Architecture of Application SystemsUniversity of StuttgartStuttgartGermany

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