Situation-Aware Execution and Dynamic Adaptation of Traditional Workflow Models
The continuous growth of the Internet of Things together with the complexity of modern information systems results in several challenges for modeling, provisioning, executing, and maintaining systems that are capable of adapting themselves to changing sit
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itute of Architecture of Application Systems, University of Stuttgart, Stuttgart, Germany [email protected] {breitenbucher,gomezsaez,guth,leymann}@informatik.uni-stuttgart.de 2 Institute for Parallel and Distributed Systems, University of Stuttgart, Stuttgart, Germany [email protected]
Abstract. The continuous growth of the Internet of Things together with the complexity of modern information systems results in several challenges for modeling, provisioning, executing, and maintaining systems that are capable of adapting themselves to changing situations in dynamic environments. The properties of the workflow technology, such as its recovery features, makes this technology suitable to be leveraged in such environments. However, the realization of situation-aware mechanisms that dynamically adapt process executions to changing situations is not trivial and error prone, since workflow modelers cannot reflect all possibly occurring situations in complex environments in their workflow models. In this paper, we present a method and concepts to enable modelers to create traditional, situation-independent workflow models that are automatically transformed into situation-aware workflow models that cope with dynamic contextual situations. Our work builds upon the usage of workflow fragments, which are dynamically selected during runtime to cope with prevailing situations retrieved from low-level context sensor data. We validate the practical feasibility of our work by a prototypical implementation of a Situation-aware Workflow Management System (SaWMS) that supports the presented concepts. Keywords: Workflow technology · Situation-aware execution · Workflow adaptation · Workflow transformation fragments
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Introduction
The significant increase of devices with network capabilities allows the integration of such into large software systems, which enables paradigms such as the Internet of Things [3]. One fundamental aspect of such a paradigm is the existence of multiple sensors that continuously emit data representing the context c IFIP International Federation for Information Processing 2016 Published by Springer International Publishing Switzerland 2016. All Rights Reserved M. Aiello et al. (Eds.): ESOCC 2016, LNCS 9846, pp. 69–83, 2016. DOI: 10.1007/978-3-319-44482-6 5
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of physical or virtual entities and running applications, e.g., temperature data of physical machines or the utilization of virtual machines that run software. Dynamic contextual changes have a severe impact on the application behavior, which must be able to cope with and to adapt themselves to different situations, e.g. opening or closing room windows to regulate its temperature. The existence of a wide spectrum of possibly occurring situations across different application domains, however, arises several challenges to developers regarding the tasks of designing, implementing, and provisioning all necessary software artifacts to realize complex processes that provide the required runtime flexi
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