DocumentCode
172821
Title
Automated Selection and Configuration of Cloud Environments Using Software Product Lines Principles
Author
Quinton, Clement ; Romero, Daniel ; Duchien, Laurence
Author_Institution
LIFL, Univ. Lille 1, Lille, France
fYear
2014
fDate
June 27 2014-July 2 2014
Firstpage
144
Lastpage
151
Abstract
Deploying an application to a cloud environment has recently become very trendy, since it offers many advantages such as improving reliability or scalability. These cloud environments provide a wide range of resources at different levels of functionality, which must be appropriately configured by stakeholders for the application to run properly. Handling this variability during the configuration and deployment stages is a complex and error-prone process, usually made in an ad hoc manner in existing solutions. In this paper, we propose a software product lines based approach to face these issues. Combined with a domain model used to select among cloud environments a suitable one, our approach supports stakeholders while configuring the selected cloud environment in a consistent way, and automates the deployment of such configurations through the generation of executable deployment scripts. To evaluate the soundness of the proposed approach, we conduct an experiment involving 10 participants with different levels of experience in cloud configuration and deployment. The experiment shows that using our approach significantly reduces time and most importantly, provides a reliable way to find a correct and suitable cloud configuration. Moreover, our empirical evaluation shows that our approach is effective and scalable to properly deal with a significant number of cloud environments.
Keywords
cloud computing; configuration management; software product lines; software reliability; automated selection; cloud configuration; cloud environments; configuration stage; deployment stage; error-prone process; executable deployment scripts; reliability; scalability; software product lines principles; Frequency modulation; Java; Load modeling; Random access memory; Reliability; Servers; Software; Cloud Computing; Configuration; Software Product Lines; Variability;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
Conference_Location
Anchorage, AK
Print_ISBN
978-1-4799-5062-1
Type
conf
DOI
10.1109/CLOUD.2014.29
Filename
6973735
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