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Advanced, Privacy-Preserving and Approximate Big Data Management and Analytics in Distributed Environments: What is Now and What is Next

Alfredo Cuzzocrea 1, 2
2 CARAMBA - Cryptology, arithmetic : algebraic methods for better algorithms
LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry, Inria Nancy - Grand Est
Abstract : Nowadays, big data management and analytics are gaining momentum within the research community, stirred-up by both sophisticated theoretical models and pragmatic achievements mainly appearing in the target Cloud-based applications and systems. In this so-delineated context, three top-class topics have emerged in the literature: (i) advanced big data management and analytics in distributed environments; (ii) privacy-preserving big data management and analytics in distributed environments; (iii) approximate big-data-management-and-analytics techniques and algorithms over uncertain and imprecise big data repositories in distributed environments. These critical topics are now heavily influencing the research community, and will play more and more a first-class role in actual and future research experiences. Following this clear evidence, in this paper we provide the current state-of-the-art on the reference topics, along with considerations for driving future research efforts in the field.
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Conference papers
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https://hal.univ-lorraine.fr/hal-03284139
Contributor : Maira Nassau <>
Submitted on : Monday, July 19, 2021 - 3:23:40 PM
Last modification on : Friday, September 10, 2021 - 3:31:42 AM

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Alfredo Cuzzocrea. Advanced, Privacy-Preserving and Approximate Big Data Management and Analytics in Distributed Environments: What is Now and What is Next. 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), Jul 2020, Madrid, Spain. ⟨10.1109/compsac48688.2020.00-32⟩. ⟨hal-03284139⟩

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