Artikel in Tagungsband INPROC-2015-43

Vukojevic-Haupt, Karolina; Gómez Sáez, Santiago; Haupt, Florian; Karastoyanova, Dimka; Leymann, Frank: A Middleware-centric Optimization Approach for the Automated Provisioning of Services in the Cloud.
In: Proceedings of the 7th IEEE International Conference on Cloud Computing Technology and Science.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 174-179, englisch.
IEEE, Dezember 2015.
DOI: 10.1109/CloudCom.2015.86.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.C.2.4 (Distributed Systems)
D.2.11 (Software Engineering Software Architectures)
I.6.7 (Simulation Support Systems)
Keywordson-demand provisioning; cloud; service-oriented computing; eScience; optimization; dynamic provisioning; SOC

The on-demand provisioning of services, a cloud-based extension for traditional service-oriented architectures, improves the handling of services in usage scenarios where they are only used rarely and irregularly. However, the standard process of service provisioning and de-provisioning shows still some shortcomings when applying it in real world. In this paper, we introduce a middleware-centric optimization approach that can be integrated in the existing on-demand provisioning middleware in a loosely coupled manner, changing the standard provisioning and de-provisioning behavior in order to improve it with respect to cost and time. We define and implement a set of optimization strategies, evaluate them based on a real world use case from the eScience domain and provide qualitative as well as quantitative decision support for effectively selecting and parametrizing a suitable strategy. Altogether, our work improves the applicability of the existing on-demand provisioning approach and system in real world, including guidance for selecting the suitable optimization strategy for specific use cases.
Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
ALLOW Ensembles
Eingabedatum17. September 2015
   Publ. Institut   Publ. Informatik