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DynamicSchema: a lightweight persistency framework for context-oriented data management

Sergio Castro 1, * Sebastián González 1 Kim Mens 1 Marcus Denker 2 
* Corresponding author
ICTEAM - Institute of Information and Communication Technologies, Electronics and Applied Mathematics
2 RMOD - Analyses and Languages Constructs for Object-Oriented Application Evolution
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : While context-oriented programming technology so far has focused mostly on behavioral adaptation, context-oriented data management has received much less attention. In this paper we make a case for the problem of context-oriented data management, using a concrete example of a mobile application. We illustrate some of the issues involved and propose a lightweight persistency framework, called DynamicSchema, that resolves some of these issues. The solution consists in a flexible reification of the database schema, as a convenient dynamic data structure that can be adapted at execution time, according to sensed context changes. Implementing our mobile application using this framework enabled us to reduce the complexity of the domain modeling layer, to facilitate the production of code with low memory footprint, and to simplify the implementation of certain scenarios related to context-dependent security concerns.
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Submitted on : Tuesday, July 24, 2012 - 12:33:28 PM
Last modification on : Saturday, June 25, 2022 - 7:46:35 PM
Long-term archiving on: : Thursday, October 25, 2012 - 2:40:36 AM


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Sergio Castro, Sebastián González, Kim Mens, Marcus Denker. DynamicSchema: a lightweight persistency framework for context-oriented data management. COP '12, ACM, Jun 2012, Beijing, China. pp.5:1--5:6, ⟨10.1145/2307436.2307441⟩. ⟨hal-00720348⟩



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