Universite Paris Cite Seminar Series on Data Analytics
in collaboration with the diNo group

Invited Seminar Talk




Big OLAP Data Cube Compression Algorithms in Column-Oriented Cloud/Edge Data Infrastructures
Prof Alfredo Cuzzocrea, University of Calabria (Italy), CNR (Italy), Universite Paris Cite (France)


when: 4 May 2023, 2pm
where: online (email the organizer for connection details), and in-person:
room Turing Conseil, 7th floor, Universite Paris Cite, 45 Rue Des Saints Peres, Paris 75006


Abstract

Big data is gaining momentum in the research community, due to the several challenges posed by managing such kind of data. Big data are relevant not only in the academic context, but also in the industrial context, where they play the major role. Indeed, several kinds of application are now exploiting big data, such as: Web advertisement, social network intelligence, e-science applications, smart city applications, and so forth. Among big data, big multidimensional data are a special case of big data that fully expose the “famous” 3V (volume, velocity, variety) and are of relevant interest at now. Within this research context, the seminar “Big OLAP Data Cube Compression Algorithms in Column-Oriented Cloud/Edge Data Infrastructures” focuses the attention on the issue of compressing so-called big OLAP data cubes over column-oriented cloud/edge data infrastructures. More specifically, the seminar proposes a specialized representation of massive OLAP data cubes over cloud/edge environments via column-oriented paradigms, which have been traditionally used in fortunate in-memory database query engines. Under this decomposition mechanism, each “column” is then compressed via a state-of-the-art synopsis data structure, called -Syn, which already proofed its effectiveness and efficiency in multidimensional data compression, thanks to an innovative analytical interpretation of multidimensional data cubes. The seminar also discusses several alternatives according to which the deriving synopsis chunks can be effectively and efficiently distributed across Cloud and/or Edge nodes, and how to support approximate query answering over such big data structures.

Short Bio

Alfredo Cuzzocrea is Professor of Computer Engineering at the University of Calabria, Rende, Italy. He also covers the role of Excellence Chair in Big Data Management and Analytics at the Universite Paris Cite, Paris, France. He is Head of the Big Data Engineering and Analytics Lab of the University of Calabria, Rende, Italy. He is also Research Fellow of the National Research Council (CNR), Rome, Italy. Previously, he has covered the role of Excellence Chair in Privacy-Preserving Big Data and Cybersecurity at the University of Lorraine, Nancy, France. On June 2019, he has been awarded as Full Professor in Computer Engineering at the Department of Computer Science of University of Bourgogne Franche-Comte, Besancon, France. On August 2019, he has been awarded as International Senior Research Fellow of the ISITE-BFC Research Excellence Program of the Ministry of Higher Education and Research (MESR), France. He is habilitated as Full Professor in Computer Engineering and Full Professor in Computer Science by the Ministry of Education, University and Research (MIUR), Italy, and Full Professor in Computer Science by the Ministry of Higher Education and Research (MESR), France. His current research interests span the following scientific fields: big data, database systems, data mining, data warehousing, and knowledge discovery. He is author or co-author of more than 700 papers in international conferences (including CIKM, MDM, EDBT, SSDBM, PAKDD, DOLAP), international journals (including TKDE, JCSS, IS, FGCS, INS, JMLR) and international books. He is recognized in prestigious international research rankings. He serves as Invited Speaker in several international conferences. He serves as Panel Leader and Moderator in several international conferences. He holds several roles in international scientific societies, steering committees of international conferences, award committees of international conferences, and international research cooperation agreements, also having responsibility roles. He serves as Springer Fellow Editor. He serves as Elsevier Ambassador. He served as Editor for the Springer series “Communications in Computer and Information Science”, for which now he serves as Funding Editor. He covers a large number of roles in international journals, such as Editor-In-Chief (including Modelling, International Journal of Big Data Engineering and Analytics), Associate Editor (including INS, JPDC, BDR, KAIS, SNAM, EAAI, FBD), Editorial Board Member (including IS, IJIS, JDM, IJDMMM), Special Issue Editor (including JCSS, IS, FGCS, INS, BDR). He edited more than 60 international books and conference proceedings. He covers a large number of roles in international conferences, such as General Chair (including CIKM, ICDM, EDBT/ICDTW, CSE, WIMS), Program Chair (including ASONAM, CSE, ODBASE, DEXA, DOLAP, DaWaK, ICA3PP, ICEIS, DATA), and others.


Hosted by: Themis Palpanas

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