DocumentCode :
2431239
Title :
MODAClouds: A model-driven approach for the design and execution of applications on multiple Clouds
Author :
Ardagna, Danilo ; Nitto, Elisabetta Di ; Mohagheghi, Parastoo ; Mosser, Sébastien ; Ballagny, Cyril ; D´Andria, Francesco ; Casale, Giuliano ; Matthews, Peter ; Nechifor, Cosmin-Septimiu ; Petcu, Dana ; Gericke, Anke ; Sheridan, Craig
Author_Institution :
Politec. di Milano, Milan, Italy
fYear :
2012
fDate :
2-3 June 2012
Firstpage :
50
Lastpage :
56
Abstract :
Cloud computing is emerging as a major trend in the ICT industry. While most of the attention of the research community is focused on considering the perspective of the Cloud providers, offering mechanisms to support scaling of resources and interoperability and federation between Clouds, the perspective of developers and operators willing to choose the Cloud without being strictly bound to a specific solution is mostly neglected. We argue that Model-Driven Development can be helpful in this context as it would allow developers to design software systems in a cloud-agnostic way and to be supported by model transformation techniques into the process of instantiating the system into specific, possibly, multiple Clouds. The MODAClouds (MOdel-Driven Approach for the design and execution of applications on multiple Clouds) approach we present here is based on these principles and aims at supporting system developers and operators in exploiting multiple Clouds for the same system and in migrating (part of) their systems from Cloud to Cloud as needed. MODAClouds offers a quality-driven design, development and operation method and features a Decision Support System to enable risk analysis for the selection of Cloud providers and for the evaluation of the Cloud adoption impact on internal business processes. Furthermore, MODAClouds offers a run-time environment for observing the system under execution and for enabling a feedback loop with the design environment. This allows system developers to react to performance fluctuations and to re-deploy applications on different Clouds on the long term.
Keywords :
business data processing; cloud computing; decision support systems; risk analysis; software engineering; ICT industry; MODAClouds; application design; application execution; cloud adoption impact evaluation; cloud provider selection; cloud-agnostic way; decision support system; feedback loop; internal business process; model transformation techniques; model-driven approach; model-driven development; multiple cloud computing; risk analysis; software system design; Biological system modeling; Business; Computational modeling; Computer integrated manufacturing; Decision support systems; Quality of service; Software; Cloud computing; model-driven development; performance; portability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling in Software Engineering (MISE), 2012 ICSE Workshop on
Conference_Location :
Zurich
ISSN :
2156-788
Print_ISBN :
978-1-4673-1756-6
Type :
conf
DOI :
10.1109/MISE.2012.6226014
Filename :
6226014
Link To Document :
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