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Computing
Erschienen in: Computing 2/2017

08.10.2016

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

verfasst von: Pascal Hirmer, Matthias Wieland, Holger Schwarz, Bernhard Mitschang, Uwe Breitenbücher, Santiago Gómez Sáez, Frank Leymann

Erschienen in: Computing | Ausgabe 2/2017

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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.
Vorheriger Artikel On-demand provisioning of workflow middleware and services into the cloud: an overview
Nächster Artikel Extended provisioning, security and analysis techniques for the ECHO health data management system

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Fußnoten
9
 
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Metadaten
Titel
Situation recognition and handling based on executing situation templates and situation-aware workflows
verfasst von
Pascal Hirmer
Matthias Wieland
Holger Schwarz
Bernhard Mitschang
Uwe Breitenbücher
Santiago Gómez Sáez
Frank Leymann
Publikationsdatum
08.10.2016
Verlag
Springer Vienna
Erschienen in
Computing / Ausgabe 2/2017
Print ISSN: 0010-485X
Elektronische ISSN: 1436-5057
DOI
https://doi.org/10.1007/s00607-016-0522-9

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