Version 9 by Jacek Becla
on Dec 05, 2008 21:34.


compared with
Current by Jacek Becla
on Dec 05, 2008 21:37.


 
Key
These lines were removed. This word was removed.
These lines were added. This word was added.

View page history


There are 2 changes. View first change.

 This page lists interesting papers and articles in the extremely large database space.
  
 h2. Science and petascale/exascale
  
 * [Modeling and Simulation at the Exascale for Energy and the Environment|http://www.sc.doe.gov/ascr/ProgramDocuments/Docs/TownHall.pdf]
 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|http://www.science.doe.gov/Scientific_User_Facilities/History/20-Year-Outlook-screen.pdf]
 An Interim Report on Facilities for the Future of Science: A Twenty-Year Outlook.
  
  
  
 h2. Blogs about the first XLDB Workshop
  
 * [Brian Aker, MySQL|http://krow.livejournal.com/559862.html?view=2168822]
 * [S. Muthukrishnan, Google|http://mysliceofpizza.blogspot.com/2007_10_01_archive.html]
 * [James Hamilton, Microsoft|http://mvdirona.com/jrh/perspectives/2007/10/30/ExtremelyLargeDatabasesWorkshop.aspx]
 * [Mike Stonebraker, MIT|http://www.databasecolumn.com/2007/11/databases-for-big-science.html]
  
 h2. Papers of interest at [CIDR 2007|http://www.vldb.org/dblp/db/conf/cidr/cidr2007.html]
  
 * [One Size Fits All? Part 2|http://www.cidrdb.org/cidr2007/papers/cidr07p20.pdf]: 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|https://confluence.slac.stanford.edu/download/attachments/44559/cidr07_ASAP.doc]: Mike Stonebraker describes "Array Store and Processor" - a new stream processing and storage system.
 * [Database Cracking|http://www.cidrdb.org/cidr2007/papers/cidr07p07.pdf]: 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|http://www.cidrdb.org/cidr2007/papers/cidr07p21.pdf]: Why science doesn't use general purpose DBMS.
 * [Life Beyond Distributed Transactions|http://www.cidrdb.org/cidr2007/papers/cidr07p15.pdf]: Pat Helland of Amazon.com on infinite scalability, a vocabulary for scalable systems abstractions, and how to live happily without system-wide distributed transactions.