Database Systems Exploiting New Hardware Platforms

Date

July 15, 2013

Speaker

Jignesh Patel, Justin Levandoski, Paul Larson, and Thomas Neumann

Affiliation

Microsoft Research, Technische Universität München, University of Wisconsin

Overview

Main memory databases have become increasingly important as a way to provide high-performance OLTP (on-line transaction processing) capability. By restricting data to by main memory resident, rather than storing disk resident data entirely in the main memory cache, it is possible to use new technology that results in much better performance. This new setting calls for a revolution in the access methods, concurrency control, and recovery. It reduces the need for high scalability because peak performance is so much higher.

This session of the 2013 Microsoft Research Faculty Summit explores main memory technologies, the performance that they produce, the problems encountered, and the prospects going forward.

Speakers

Jignesh Patel, Justin Levandoski, Paul Larson, and Thomas Neumann

Thomas Neumann conducts research on database systems, focusing on query optimization (computing efficient query strategies) and query processing (efficient query execution). He studied business information systems at the University of Mannheim and received a doctorate in informatics from the same university in 2005. Before joining TUM (2010), Neumann was a senior researcher at the Max Planck Institute for Informatics in Saarbrücken. He acquired his postdoctoral teaching qualification (habilitation) in informatics from Saarland University (2010).

Jignesh M. Patel is an Associate Professor at the University of Wisconsin. He received his PhD from the University of Wisconsin in 1998. Right after graduation, he worked with NCR Corp. to commercialize his thesis project on parallel object-relational database systems. From 1999-2008 he was a faculty member at the University of Michigan. In 2008 he returned back to Wisconsin, this time as a faculty member. Jignesh is the recipient of an NSF Career Award, two IBM Faculty Awards, and four Microsoft BARC Research Fund Grants.