Model-driven Application Refactoring to Minimize Deployment Costs in Preemptible Cloud Resources

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Title: Model-driven Application Refactoring to Minimize Deployment Costs in Preemptible Cloud Resources
Author(s): Dubois, DJ
Trubiani, C
Casale, G
Item Type: Conference Paper
Abstract: Performance assessment of cloud-based applications requires new methodologies to deal with the complexity of software systems and the variability of cloud resources. In this paper, we address the problem of reducing the total costs for running cloud-based applications while fulfilling servicelevel objectives (SLOs). To this end, we define an approach to refactor a cloud application in such a way that, when it is deployed, it requires less computational capacity and therefore less resources. We experimented our approach on top of a modified optimal provisioning heuristic designed for preemptible cloud resources and the results show that it reduces deployment costs, up to 60% when compared to the same approach, but without model-driven application refactoring.
Publication Date: 27-Jun-2016
Date of Acceptance: 25-Apr-2016
URI: http://hdl.handle.net/10044/1/32496
Publisher: IEEE
Journal / Book Title: 9th IEEE International Conference on Cloud Computing
Copyright Statement: This article is under embargo until publication
Sponsor/Funder: Commission of the European Communities
Commission of the European Communities
Funder's Grant Number: PIEF-GA-2013-629982
644869
Conference Name: CLOUD 2016
Publication Status: Accepted
Start Date: 2016-06-27
Finish Date: 2016-07-02
Conference Place: San Francisco, CA, USA
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Faculty of Engineering
Computing



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