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Title:
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Data as a Service (DaaS) for sharing and processing of large data collections in the cloud
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Author:
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Terzo, Olivier; Ruiu, Pietro; Bucci, Enrico; Xhafa Xhafa, Fatos
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals |
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Abstract:
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Data as a Service (DaaS) is among the latest kind of services being investigated in the Cloud computing community. The main aim of DaaS is to overcome limitations of state-of-the-art approaches in data technologies, according to which data is stored and accessed from repositories whose location is known and is relevant for sharing and processing. Besides limitations for the data sharing, current approaches also do not achieve to fully separate/decouple software services from data and thus impose limitations in inter-operability. In this paper we propose a DaaS approach for intelligent sharing and processing of large data collections with the aim of abstracting the data location (by making it relevant to the needs of sharing and accessing) and to fully decouple the data and its processing. The aim of our approach is to build a Cloud computing platform, offering DaaS to support large communities of users that need to share, access, and process the data for collectively building knowledge from data. We exemplify the approach from large data collections from health and biology domains. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures distribuïdes
-Cloud computing
-Information storage and retrieval systems
-Data as a Service
-Genomics
-Health data collections
-Large data collection
-Sharing
-Computació en núvol
-Informació -- Sistemes d'emmagatzematge i recuperació |
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Rights:
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Document type:
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Article - Submitted version
Conference Object |
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Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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