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Distributed Data Storage in Support for Context-Aware Applications

Elena Burceanu 1 Ciprian Dobre 1 Valentin Cristea 1 Alexandru Costan 2 Gabriel Antoniu 2 
2 KerData - Scalable Storage for Clouds and Beyond
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
Abstract : Context-aware computing is a new paradigm that relies on large amounts of data collected from a variety of sources, ranging from smartphones to sensors, to automatically take smart decisions. This usually leads to large volumes of data, that need to be further processed to derive higher-level context information. Clouds have recently emerged as interesting candidates to support the storage and aggregation of such data for large-scale context-aware applications. However, specific extensions to support context-aware data need to be designed in order to be able to fully exploit the clouds' potential. In this paper we introduce such a cloud-based system, designed to support real-time processing and persistent storage of context data. Context Aware Framework is designed as an extension of the BlobSeer storage system, building a context-aware layer on top of it to enable scalable high-throughput under high-concurrency for big context data. Our experimental evaluation validates the transparency, mobility and real-time guarantees provided by our approach to context-aware applications.
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Submitted on : Wednesday, December 30, 2015 - 1:00:34 PM
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Elena Burceanu, Ciprian Dobre, Valentin Cristea, Alexandru Costan, Gabriel Antoniu. Distributed Data Storage in Support for Context-Aware Applications. IEEE 12th International Symposium on Parallel and Distributed Computing, ISPDC 2013, Bucharest, Romania, June 27-30, 2013, 2013, Bucharest, Romania. pp.93--100, ⟨10.1109/ISPDC.2013.21⟩. ⟨hal-01249155⟩



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