Thursday Sept 27th, 09.00 - 10.30, Auditorium Maximum
Abstract: In this paper we discuss advances in self-tuning database systems over the past decade, based on our experience in the AutoAdmin project at Microsoft Research. This paper primarily focuses on the problem of automated physical database design. We also highlight other areas where research on self-tuning database technology has made significant progress. We conclude with our thoughts on opportunities and open issues.
Bio: Surajit Chaudhuri leads the Data Management and Exploration Group at Microsoft Research. In 1996, Surajit started the AutoAdmin project on self-tuning database systems at Microsoft Research and along with his team developed novel automated physical design tuning technology. Their research led to the development of Index Tuning Wizard (Microsoft SQL Server 7.0, SQL Server 2000) and Database Tuning Advisor (SQL Server 2005). More recently, along with his colleagues, Surajit has worked in the area of data cleaning. Part of their research has been incorporated in Microsoft SQL Server 2005 as well. Surajit is also interested in the problem of search and querying exploiting IR as well as DBMS techniques. Surajit did his Ph.D. from Stanford University and worked at Hewlett-Packard Laboratories, Palo Alto from 1991-1995. He is an ACM Fellow and was awarded the 2004 ACM SIGMOD Contributions award.
Bio: Vivek Narasayya is a Senior Researcher in the Data Management and Exploration Group at Microsoft Research. He has been a founding member of the Autoadmin project, whose goal is to reduce the total cost of ownership of databases by making database systems more self-tuning. In addition to research on AutoAdmin, Vivek played a leading role in shipping the Index Tuning Wizard (in SQL Server 7.0 and SQL Server 2000) and Database Engine Tuning Advisor (in SQL Server 2005). Vivek received the BTech degree from the Indian Institute of Technology, Madras, India, and the PhD degree from the University of Washington.