Past Event

CUIDS Distinguished Speaker Series

Big OLAP Data Cube Compression Algorithms in Column-Oriented Cloud/Edge Data Infrastructures

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 D-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.

Speaker

Speaker: Prof. Alfredo Cuzzocrea

• iDEA Lab, Director
• University of Calabria, Rende, Italy
• Excellence Chair in Big Data Management and Analytics, University of Paris City, Paris, France
• Honorary Professor of Computer Engineering Amity University, Noida, India
• Research Associate, National Research Council (CNR), Rome, Italy

Alfredo Cuzzocrea is Professor in Computer Engineering at the University of Calabria, Rende, Italy. He is the Director of the Big Data Engineering and Analytics Lab of the University of Calabria. He also covers the role of Full Professor in Computer Engineering at the University of Paris City, Paris, France, as holding the Excellence Chair in Big Data Management and Analytics. His current research interests span the following scientific fields: big data, database systems, data mining, OLAP, data warehousing, and knowledge discovery. He is author or co-author of more than 800 papers in international conferences, international journals and international books. He is recognized in prestigious international research rankings, such as: (i) 1st World-Wide Scientist  for Research Topic: “OnLine Analytical Processing (OLAP)” by Microsoft Academic, Redmond, WA, USA; (ii) 5th World-Wide Highly-Ranked Scholar Lifetime for Research Topic: “Big Data” by ScholarGPS, Los Angeles, CA, USA; (iii) Top 2% World-Wide Scientist by METRICS, Stanford, CA, USA; (iv) Top Scientists in Computer Science and Electronics by Guide2Research, Clifton, NJ, USA; (v) Top Researchers in Computer Science by SciVal Elsevier, Amsterdam, Netherlands; (vi) Top Italian Scientists in Computer Sciences by Virtual Italian Academy, Manchester, UK.

Seminar Moderator:

Koon-Ho Alan Tsang – Assistant Professor at the School of Computer Science at Carleton University

Light refreshments will be provided.

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Short URL: https://carleton.ca/cuids/?p=7246