Recent News

Partnering for success: Computer Science students represent UNM in NASA and Supercomputing Competitions
December 11, 2024

New associate dean interested in helping students realize their potential
August 6, 2024

Hand and Machine Lab researchers showcase work at Hawaii conference
June 13, 2024

Two from School of Engineering to receive local 40 Under 40 awards
April 18, 2024

News Archives

• 2024
  • February 2024
  • April 2024
  • June 2024
  • August 2024
  • December 2024
• 2023
  • January 2023
  • February 2023
  • March 2023
  • May 2023
  • June 2023
  • August 2023
  • October 2023
  • November 2023
• 2022
  • January 2022
  • March 2022
  • April 2022
  • May 2022
  • June 2022
  • August 2022
  • September 2022
  • October 2022
  • December 2022
• 2021
  • January 2021
  • March 2021
  • October 2021
• 2020
  • February 2020
  • March 2020
  • May 2020
  • October 2020
  • November 2020
• 2019
  • January 2019
  • February 2019
  • March 2019
  • April 2019
  • May 2019
  • June 2019
  • July 2019
  • August 2019
  • September 2019
  • October 2019
  • November 2019
• 2018
  • January 2018
  • March 2018
  • April 2018
  • July 2018
  • August 2018
  • September 2018
  • October 2018
  • November 2018
• 2017
  • February 2017
  • April 2017
  • October 2017
  • November 2017
  • December 2017
• 2016
  • March 2016
  • April 2016
  • July 2016
• 2015
  • January 2015
  • February 2015
  • March 2015
  • April 2015
  • May 2015
  • June 2015
  • August 2015
• 2014
  • January 2014
  • February 2014
  • March 2014
  • April 2014
  • May 2014
  • July 2014
  • August 2014
  • September 2014
  • October 2014
  • November 2014
  • December 2014
• 2013
  • January 2013
  • February 2013
  • March 2013
  • April 2013
  • May 2013
  • August 2013
  • September 2013
  • October 2013
  • November 2013
  • December 2013
• 2012
  • January 2012
  • February 2012
  • March 2012
  • April 2012
  • May 2012
  • August 2012
  • September 2012
  • October 2012
  • November 2012
  • December 2012
• 2011
  • January 2011
  • February 2011
  • March 2011
  • April 2011
  • May 2011
  • August 2011
  • September 2011
  • October 2011
  • November 2011
  • December 2011
• 2010
  • January 2010
  • February 2010
  • March 2010
  • April 2010
  • May 2010
  • June 2010
  • August 2010
  • September 2010
  • October 2010
  • November 2010
  • December 2010
• 2009
  • January 2009
  • February 2009
  • March 2009
  • April 2009
  • May 2009
  • June 2009
  • August 2009
  • September 2009
  • October 2009
  • November 2009
  • December 2009
• 2008
  • January 2008
  • February 2008
  • March 2008
  • April 2008
  • May 2008
  • July 2008
  • August 2008
  • September 2008
  • October 2008
  • November 2008
  • December 2008
• 2007
  • January 2007
  • February 2007
  • March 2007
  • April 2007
  • May 2007
  • July 2007
  • August 2007
  • September 2007
  • October 2007
  • November 2007
  • December 2007
• 2006
  • January 2006
  • February 2006
  • March 2006
  • April 2006
  • May 2006
  • September 2006
  • October 2006
  • November 2006
  • December 2006
• 2005
  • January 2005
  • February 2005
  • March 2005
  • April 2005
  • May 2005
  • June 2005
  • August 2005
  • September 2005
  • October 2005
  • November 2005
  • December 2005
• 2004
  • January 2004
  • February 2004
  • March 2004
  • April 2004
  • May 2004
  • July 2004
  • August 2004
  • September 2004
  • October 2004
  • November 2004
  • December 2004
• 2003
  • November 2003
  • December 2003

September 9, 2004

Date: Thursday September 9, 2004
Time: 11am-12:15pm
Location: Woodward 149

Jared Saia <saia@cs.unm.edu>
Department of Computer Science University of New Mexico

Abstract: We present the first fully distributed algorithm which chooses a peer uniformly at random from the set of all peers in a distributed hash table (DHT). Our algorithm has latency $O(\log n)$ and sends $O(\logn)$ messages in expectation for a DHT like Chord. Our motivation for studying this problem is threefold: to enable data collection by statistically rigorous sampling methods; to provide support for randomized, distributed algorithms over peer-to-peer networks; and to support the creation and maintenance of random links, and thereby offer a simple means of improving fault-tolerance. This is joint work with Valerie King which appeared in PODC 2004.