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Genoveva Vargas-Solar
Conception de la prochaine génération de SGBD pour les grosses collections de données
86%
Libre accès
7
Documents
Affiliations actuelles
- 401125
Identifiants chercheurs
- genoveva-vargas-solar
- 0000-0001-9545-1821
- IdRef : 113038569
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
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Innovative Applications in Smart CitiesCRC Press, 1, 2021, ⟨10.1201/9781003191148⟩
Ouvrages
hal-03318621v1
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Humanitarian Logistics based on Multiagent Systems for the prevention of a plethora of disasters related with crowdsAlberto Ochoa, Genoveva Vargas-Solar, Isaac Rudomin, Javier Espinosa. Universidad Presbiteriana McKenzie, 2017, 978-1-329-98317-5
Ouvrages
hal-01583812v1
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Using Provenance in Data Analytics for Seismology: Challenges and DirectionsSilvia Chiusano; Robert Wrembel; Kjetil Nørvåg; Barbara Catania; Genoveva Vargas-Solar; Tania Cerquitelli; Ester Zumpano. New Trends in Database and Information Systems. ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5–8, 2022, Proceedings, 1652, Springer International Publishing, pp.311-322, 2022, Communications in Computer and Information Science, 978-3-031-15742-4. ⟨10.1007/978-3-031-15743-1_29⟩
Chapitre d'ouvrage
hal-03776553v1
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From Data Harvesting to Querying for Making Urban Territories SmartCarlos Alberto Ochoa. Innovative Applications in Smart Cities, Taylor and Francis, 2020, 9781003191148. ⟨10.1201/9781003191148-10⟩
Chapitre d'ouvrage
hal-03042302v1
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Big continuous data: dealing with velocity by composing event streamsShui Yu; Song Guo. Big Data Concepts, Theories and Applications, Springer Verlag, 2016, 978-3-319-27763-9
Chapitre d'ouvrage
hal-01270339v1
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Big Data Management Challenges, Approaches, Tools and their limitationsShui 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
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Administración de Big Data en el cloud: Retos, soluciones y herramientasTedencias en la administración de datos, Universidad Autónoma de Tlaxcala, 2015
Chapitre d'ouvrage
hal-01270336v1
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