Using Patterns to Move the Application Data Layer to the Cloud

نویسندگان

  • Steve Strauch
  • Vasilios Andrikopoulos
  • Uwe Breitenbücher
  • Santiago Gómez Sáez
  • Oliver Kopp
  • Frank Leymann
چکیده

Cloud services allow for hosting applications partially or completely in the Cloud by migrating their components and data. Especially with respect to data migration, a series of functional and non-functional challenges like data confidentiality arise when considering private and public Cloud data stores. In this paper we identify some of these challenges and propose a set of reusable solutions for them, organized together as a set of Cloud Data Patterns. Furthermore, we show how these patterns may impact the application architecture and demonstrate how they can be used in practice by means of a use case. Keywords—Data layer; Cloud applications; Data migration; Cloud Data Patterns; Cloud data stores.

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تاریخ انتشار 2013