A novel service composition approach for application migration to cloud

Abstract

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. © 2013 Springer-Verlag.