Master Thesis MSTR-2017-88

BibliographySánchez, Marta Martín: Modeling context-aware systems using TOSCA.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 88 (2017).
95 pages, english.

Cloud Computing is widely accepted as a provider of virtual resources over the Internet, it is due to its economical and technical benefits, such as on-demand self-service, resource pooling and rapid elasticity capabilities. To exploit these properties reliably, it is needed to automate their internal processes for application provisioning, configuration and management. One of the standards that has been developed in the last years with this aim is the Topology and Orchestration Specification for Cloud Applications (TOSCA) by OASIS. TOSCA is a standard which enables application developers to describe applications and their management as models that incorporate components and their relations among each other. Due to the emerging of new fields such as the Internet of Things, Industry 4.0 and the upcoming Fog Computing paradigm, which depend more and more on dynamically changing situations and therefore reconfiguration of applications in such a scenario, a systematic modelling approach which handles situational dependencies directly in the models of these applications is needed. The goal of the thesis is to identify suitable modeling concepts from the field of context- aware systems and apply one of these on the TOSCA language to incorporate the inherent nature of change of future applications in the field of Cloud/Fog Computing, Internet of Things and Industry 4.0.

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Department(s)University of Stuttgart, Institute of Architecture of Application Systems
Superviser(s)Leymann, Prof. Frank; Képes, Kálmán
Entry dateJune 6, 2019
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