Artikel in Tagungsband INPROC-2013-58

Vukojevic-Haupt, Karolina; Karastoyanova, Dimka; Leymann, Frank: On-demand Provisioning of Infrastructure, Middleware and Services for Simulation Workflows.
In: Proceedings of the 6th IEEE International Conference on Service Oriented Computing & Applications (SOCA 2013), Kauai, USA, 16.-18.12.2013..
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 91-98, englisch.
Kauai, USA: IEEE Press, 17. Dezember 2013.
DOI: 10.1109/SOCA.2013.21.
Artikel in Tagungsband (Konferenz-Beitrag).
KörperschaftProceedings of the 6th IEEE International Conference on Service Oriented Computing \& Applications (SOCA 2013)
CR-Klassif.H.4.1 (Office Automation)
C.2.4 (Distributed Systems)
I.6.7 (Simulation Support Systems)
Keywordson-demand provisioning and deprovisioning; dynamic service deployment and provisioning; provisioning engine; bootware; simulation workflows; eScience; SOC; Cloud; TOSCA

Service orientation is a mainstream paradigm in business applications and gains even greater acceptance in the very active field of eScience. In SOC service binding strategies have been defined to specify the point in time a service can be discovered and selected for use, namely static binding, dynamic binding at deployment or at run time, and dynamic service deployment. The basic assumption in all these strategies is that the software stack and infrastructure necessary to execute the services are already available. While in service-based business applications this is typically a valid assumption in scientific applications it is often not the case. Therefore, in this work we introduce a new binding strategy for services we call on-demand provisioning which entails provisioning of the software stack necessary for the service and subsequent dynamic deployment of the service itself. Towards this goal, we also contribute a middleware architecture that enables the provisioning of the software stack – functionality unavailable in conventional service middlewares. We demonstrate the approach and the capabilities of the middleware and the current state of the implementation of our approach. For this purpose we use an example application from the field of eScience that comprises a scientific workflow management system for simulations.

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Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Eingabedatum22. November 2013
   Publ. Institut   Publ. Informatik