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Cross-Tier Application and Data Partitioning of Web Applications for Hybrid Cloud Deployment

Abstract : Hybrid cloud deployment offers flexibility in trade-offs between the cost-savings/scalability of the public cloud and control over data resources provided at a private premise. However, this flexibility comes at the expense of complexity in distributing a system over these two locations. For multi-tier web applications, this challenge manifests itself primarily in the partitioning of application- and database-tiers. While there is existing research that focuses on either application-tier or data-tier partitioning, we show that optimized partitioning of web applications benefits from both tiers being considered simultaneously. We present our research on a new cross-tier partitioning approach to help developers make effective trade-offs between performance and cost in a hybrid cloud deployment. In two case studies the approach results in up to 54% reduction in monetary costs compared to a premise only deployment and 56% improvement in execution time compared to a naïve partitioning where application-tier is deployed in the cloud and data-tier is on private infrastructure.
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Nima Kaviani, Eric Wohlstadter, Rodger Lea. Cross-Tier Application and Data Partitioning of Web Applications for Hybrid Cloud Deployment. 14th International Middleware Conference (Middleware), Dec 2013, Beijing, China. pp.226-246, ⟨10.1007/978-3-642-45065-5_12⟩. ⟨hal-01480778⟩



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