Reading Material

This page lists interesting papers and articles in the extremely large database space.

Science and petascale/exascale

• Modeling and Simulation at the Exascale for Energy and the Environment
  It is a detailed report from meetings organized by DOE/ASCR. It covers in great details exascale challenges in the next decade that DOE is expecting to face. Science disciplines covered include climate, combustion, nuclear fusion, solar energy, biology, astrophysics and others.

• Facilities for the Future of Science
  An Interim Report on Facilities for the Future of Science: A Twenty-Year Outlook.

Blogs about the first XLDB Workshop

• Brian Aker, MySQL
• S. Muthukrishnan, Google
• James Hamilton, Microsoft
• Mike Stonebraker, MIT

Papers of interest at CIDR 2007

• One Size Fits All? Part 2: Mike Stonebraker quantifies how specialized engines (columnar, stream, multidimensional array) are beating up traditional RDBMS engines.
• ASAP: A System for Efficient Storage and Processing of Arrays: Mike Stonebraker describes "Array Store and Processor" - a new stream processing and storage system.
• Database Cracking: The MonetDB folks describe a dynamic, query-time reclustering of columnar values to speed up range queries.
• Smoothing the ROI Curve for Scientific Data Management Applications: Why science doesn't use general purpose DBMS.
• Life Beyond Distributed Transactions: Pat Helland of Amazon.com on infinite scalability, a vocabulary for scalable systems abstractions, and how to live happily without system-wide distributed transactions.