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Design Tradeoffs of Data Access Methods [Tutorial 4]

MONDAY, June 27, 2016 (3:30pm - 5:00pm)

Abstract: Database researchers and practitioners have been building methods to store, access, and update data for more than five decades. Designing access methods has been a constant effort to adapt to the ever changing underlying hardware and workload requirements. The recent explosion in data system designs - including, in addition to traditional SQL systems, NoSQL, NewSQL, and other relational and non-relational systems - makes understanding the tradeoffs of designing access methods more important than ever. Access methods are at the core of any new data system. In this tutorial we survey recent developments in access method design and we place them in the design space where each approach focuses primarily on one or a subset of read performance, update performance, and memory utilization. We discuss how to utilize designs and lessons-learned from past research. In addition, we discuss new ideas on how to build access methods that have tunable behavior, as well as, what is the scenery of open research problems.

URL for the Slides:
http://stratos.seas.harvard.edu/presentations

Presenters:

Manos Athanassoulis is a postdoctoral researcher fellow at DASlab, the Data Systems Laboratory, at Harvard SEAS. Manos works on designing data systems and access methods for dynamic environments that workload and hardware constantly change. Manos received his undergraduate and Masters' degree from the University of Athens, Greece, and his Ph.D. from Ecole Polytechnique Federale de Lausanne, Switzerland. In 2011 he interned at IBM Research, New York. Manos is the recipient of a Postdoc Mobility Fellowship from the Swiss National Science Foundation, a ?Best of VLDB? selection for 2010, and an IBM Ph.D. Fellowship.

Stratos Idreos is an assistant professor of Computer Science at Harvard University where he leads DASlab, the Data Systems Laboratory, at Harvard SEAS. Stratos works on data systems architectures with emphasis on designing systems for big data exploration. For his doctoral work on Database Cracking, Stratos won the 2011 ACM SIGMOD Jim Gray Doctoral Dissertation award and the 2011 ERCIM Cor Baayen award as ?most promising European young researcher in computer science and applied mathematics? from the European Research Council on Informatics and Mathematics. In 2010 he was awarded the IBM zEnterpise System Recognition Award by IBM Research, and in 2011 he won the VLDB Challenges and Visions best paper award. In 2015 he received an NSF CAREER award and the 2015 IEEE TCDE Early Career Award from the IEEE Technical Committee on Data Engineering.

Credits
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