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AMAS4BigData : adaptive multi-agent systems for dynamic big data analytics

Elhadi Belghache 1
1 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
IRIT - Institut de recherche en informatique de Toulouse
Abstract : Understanding data is the main purpose of data science and how to achieve it is one of the challenges of data science, especially when dealing with big data. The big data era brought us new data processing and data management challenges to face. Existing state-of-the-art analytics tools come now close to handle ongoing challenges and provide satisfactory results with reasonable cost. But the speed at which new data is generated and the need to manage changes in data both for content and structure lead to new rising challenges. This is especially true in the context of complex systems with strong dynamics, as in for instance large scale ambient systems. One existing technology that has been shown as particularly relevant for modeling, simulating and solving problems in complex systems are Multi-Agent Systems. The AMAS (Adaptive Multi-Agent Systems) theory proposes to solve complex problems for which there is no known algorithmic solution by self-organization. The cooperative behavior of the agents enables the system to self-adapt to a dynamical environment so as to maintain the system in a functionality adequate state. In this thesis, we apply this theory to Big Data Analytics. In order to find meaning and relevant information drowned in the data flood, while overcoming big data challenges, a novel analytic tool is needed, able to continuously find relations between data, evaluate them and detect their changes and evolution over time. The aim of this thesis is to present the AMAS4BigData analytics framework based on the Adaptive Multi-agent systems technology, which uses a new data similarity metric, the Dynamics Correlation, for dynamic data relations discovery and dynamic display. This framework is currently being applied in the neOCampus operation, the ambient campus of the University Toulouse III - Paul Sabatier.
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  • HAL Id : tel-02934533, version 1


Elhadi Belghache. AMAS4BigData : adaptive multi-agent systems for dynamic big data analytics. Artificial Intelligence [cs.AI]. Université Paul Sabatier - Toulouse III, 2019. English. ⟨NNT : 2019TOU30149⟩. ⟨tel-02934533⟩



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