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Migration of Data between Cloud and Non-Cloud Datastores

Migration of Data between Cloud and Non-Cloud Datastores

Shreyansh Bhatt, Sanjay Chaudhary, Minal Bhise
Copyright: © 2013 |Pages: 20
ISBN13: 9781466624887|ISBN10: 1466624884|EISBN13: 9781466624894
DOI: 10.4018/978-1-4666-2488-7.ch009
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MLA

Bhatt, Shreyansh, et al. "Migration of Data between Cloud and Non-Cloud Datastores." Migrating Legacy Applications: Challenges in Service Oriented Architecture and Cloud Computing Environments, edited by Anca Daniela Ionita, et al., IGI Global, 2013, pp. 206-225. https://doi.org/10.4018/978-1-4666-2488-7.ch009

APA

Bhatt, S., Chaudhary, S., & Bhise, M. (2013). Migration of Data between Cloud and Non-Cloud Datastores. In A. Ionita, M. Litoiu, & G. Lewis (Eds.), Migrating Legacy Applications: Challenges in Service Oriented Architecture and Cloud Computing Environments (pp. 206-225). IGI Global. https://doi.org/10.4018/978-1-4666-2488-7.ch009

Chicago

Bhatt, Shreyansh, Sanjay Chaudhary, and Minal Bhise. "Migration of Data between Cloud and Non-Cloud Datastores." In Migrating Legacy Applications: Challenges in Service Oriented Architecture and Cloud Computing Environments, edited by Anca Daniela Ionita, Marin Litoiu, and Grace Lewis, 206-225. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2488-7.ch009

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Abstract

The on demand services and scalability features of cloud computing have attracted many customers to move their applications into the cloud. Therefore, application, data access, storage, and migration to and from cloud have garnered much recent attention, especially with well-established legacy applications. Cloud service providers are following different standards to host applications and data. In the present chapter, the authors focus on data migration from various datastores to cloud and vice versa. They have discussed various challenges associated with this reciprocal migration and proposed a simple yet powerful model whereby data can be migrated between various datastores, especially cloud datastores. The results show an efficient way to move data from conventional relational databases to Google App Engines and how data residing in the Google App Engines can be stored on relational databases and vice versa. They provide a generalized architecture to store data in any cloud datastore. The authors use RDF/RDFS as an intermediate model in the migration process.

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