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Genoveva Vargas-Solar

Conception de la prochaine génération de SGBD pour les grosses collections de données
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Présentation

Genoveva's research interests in Computer Science concern distributed and heterogeneous databases, reflexive systems and service based database systems. Her research interests in Literature concern middle age Literature, myths’ critics and myths’ analysis applied to different myths of origins. She has coordinated several research projects in Europe and Latin America financed by governments and industrial partners. She actively promotes the scientific cooperation in Computer Science between Latin America and Europe particularly between France and Mexico. Our research contributes to the construction of service based database management systems. The objective is to design data management services guided by Service Level Agreements (SLA). The purpose is to provide methodologies, algorithms and tools for integrating, deploying and executing a service composition for programing data management functions. Data services composition must respect quality of service criteria (e.g., security, reliability, fault tolerance, evolution and dynamic adaptability) and behaviour properties (e.g., transactional execution) adapted to applications requirements. We conduct fundamental and applied research activities for addressing these challenges. The results of this research are validated in the context of grids, embedded systems, GPU, HPC, and clouds.

Domaines de recherche

Base de données [cs.DB]

Compétences

Publications

87674
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Big Data Management Challenges, Approaches, Tools and their limitations

Michel Adiba , Juan-Carlos Castrejon-Castillo , Javier Alfonso Espinosa Oviedo , Genoveva Vargas-Solar , José-Luis Zechinelli-Martini
Shui Yu, Xiaodong Lin, Jelena Misic, and Xuemin Sherman Shen. Networking for Big Data, Chapman and Hall/CRC 2016, 978-1-4822-6349-7
Chapitre d'ouvrage hal-01270335v1
Image document

Big continuous data: dealing with velocity by composing event streams

Genoveva Vargas-Solar , Javier Alfonso Espinosa Oviedo , José-Luis Zechinelli-Martini
Shui Yu; Song Guo. Big Data Concepts, Theories and Applications, Springer Verlag, 2016, 978-3-319-27763-9
Chapitre d'ouvrage hal-01270339v1