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Communication Dans Un Congrès Globe '12 : 5th International Conference on Data Management in Cloud, Grid and P2P Systems Année : 2012

Scalability issues in designing and implementing semantic provenance management systems

Résumé

Provenance is a key metadata for assessing electronic documents trustworthiness. Most of the applications exchanging and processing documents on the web or in the cloud become provenance aware and provide heterogeneous, decentralized and not interoperable provenance data. A new type of system emerges, called provenance management system (or PMS). These systems offer a unified way to model, collect and query provenance data from various applications. This work presents such a system based on semantic web technologies and focuses on scalability issues. In fact, modern infrastructure such as cloud can produce huge volume of provenance data and scalability becomes a major issue. We describe here an implementation of our PMS based on an NoSQL DBMS coupled with the map-reduce parallel model and present different experimentations illustrating how it scales linearly depending on the size of the processed logs
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Dates et versions

hal-00737723 , version 1 (02-10-2012)

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Mohamed Amin Sakka, Bruno Defude. Scalability issues in designing and implementing semantic provenance management systems. Globe '12 : 5th International Conference on Data Management in Cloud, Grid and P2P Systems, Sep 2012, Vienne, Austria. pp.49-61, ⟨10.1007/978-3-642-32344-7_5⟩. ⟨hal-00737723⟩
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