[2879] in Privacy_Forum

home help back first fref pref prev next nref lref last post

[ PRIVACY Forum ] F1 - The Fault-Tolerant Distributed RDBMS

daemon@ATHENA.MIT.EDU (PRIVACY Forum mailing list)
Sat Jun 2 11:55:06 2012

Date: Sat, 2 Jun 2012 08:38:48 -0700
To: privacy-list@vortex.com
Message-ID: <20120602153848.GB25284@vortex.com>
MIME-Version: 1.0
Content-Disposition: inline
From: PRIVACY Forum mailing list <privacy@vortex.com>
Reply-To: PRIVACY Forum mailing list <privacy@vortex.com>
Content-Type: text/plain; charset="iso-8859-1"
Errors-To: privacy-bounces+privacy-forum=mit.edu@vortex.com
Content-Transfer-Encoding: 8bit



F1 - The Fault-Tolerant Distributed RDBMS Supporting Google's Ad
Business (SIGMOD 2012)

http://j.mp/K2J1Uk  (Google Research [Abstract])

http://j.mp/K2Ji9W  (Full Paper - PDF)

   "Many of the services that are critical to Google's ad business have
    historically been backed by MySQL. We have recently migrated several
    of these services to F1, a new RDBMS developed at Google. F1
    implements rich relational database features, including a strictly
    enforced schema, a powerful parallel SQL query engine, general
    transactions, change tracking and notication, and indexing, and is
    built on top of a highly distributed storage system that scales on
    standard hardware in Google data centers. The store is dynamically
    sharded, supports transactionally-consistent replication across data
    centers, and is able to handle data center outages without data loss.
    The strong consistency properties of F1 and its storage system come at
    the cost of higher write latencies compared to MySQL. Having
    successfully migrated a rich customerfacing application suite at the
    heart of Google's ad business to F1, with no downtime, we will
    describe how we restructured schema and applications to largely hide
    this increased latency from external users. The distributed nature of
    F1 also allows it to scale easily and to support signicantly higher
    throughput for batch workloads than a traditional RDBMS."

 - - -

Obviously the approaches embodied in this work could have very wide
applicability in many other contexts.

--Lauren--
Lauren Weinstein (lauren@vortex.com): http://www.vortex.com/lauren 
Co-Founder: People For Internet Responsibility: http://www.pfir.org 
Founder:
 - Data Wisdom Explorers League: http://www.dwel.org
 - Network Neutrality Squad: http://www.nnsquad.org 
 - Global Coalition for Transparent Internet Performance: http://www.gctip.org
 - PRIVACY Forum: http://www.vortex.com 
Member: ACM Committee on Computers and Public Policy
Lauren's Blog: http://lauren.vortex.com
Google+: http://vortex.com/g+lauren / Twitter: http://vortex.com/t-lauren 
Tel: +1 (818) 225-2800 / Skype: vortex.com
_______________________________________________
privacy mailing list
http://lists.vortex.com/mailman/listinfo/privacy


home help back first fref pref prev next nref lref last post