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Erschienen in:
2013 | OriginalPaper | Buchkapitel
A Novel Service Composition Approach for Application Migration to Cloud
verfasst von : Xianzhi Wang, Xuejun Zhuo, Bo Yang, Fan Jing Meng, Pu Jin, Woody Huang, Christopher C. Young, Catherine Zhang, Jing Min Xu, Michael Montinarelli
Erschienen in: Service-Oriented Computing
Verlag: Springer Berlin Heidelberg
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Migrating business applications to cloud can be costly, labor-intensive, and error-prone due to the complexity of business applications, the constraints of the clouds, and the limitations of existing migration techniques provided by migration service vendors. However, the emerging software-as-a-service offering model of migration services makes it possible to combine multiple migration services for a single migration task. In this paper, we propose a novel migration service composition approach to achieve a cost-effective migration solution. In particular, we first formalize the migration service composition problem into an optimization model. Then, we present an algorithm to determine the optimal composition solution for a given migration task. Finally, using synthetic trace driven simulations, we validate the effectiveness and efficiency of the proposed optimization model and algorithm.