Abstract
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.
Original language | English |
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Title of host publication | 7th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2015, Vancouver, BC, Canada, November 30 - December 3, 2015 |
Subtitle of host publication | Proceedings |
Publisher | IEEE Computer Society |
Pages | 174-179 |
Number of pages | 6 |
ISBN (Print) | 978-1-4673-9560-1 |
DOIs | |
Publication status | Published - 2015 |
Externally published | Yes |
Event | 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom) - Vancouver, BC, Canada Duration: 30-Nov-2015 → 3-Dec-2015 |
Conference
Conference | 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom) |
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Country/Territory | Canada |
City | Vancouver, BC |
Period | 30/11/2015 → 03/12/2015 |