Home Messages Index
[Date Prev][Date Next][Thread Prev][Thread Next]
Author IndexDate IndexThread Index

[News] Analysis of Google's half-million Linux servers

  • Subject: [News] Analysis of Google's half-million Linux servers
  • From: "[H]omer" <spam@xxxxxxx>
  • Date: Wed, 24 Oct 2007 23:47:07 +0100
  • Bytes: 2514
  • Newsgroups: comp.os.linux.advocacy
  • Openpgp: id=BF436EC9; url=http://slated.org/files/GPG-KEY-SLATED.asc
  • Organization: Slated.org
  • User-agent: Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.8.1.6) Gecko/20070811 Remi/2.0.0.6-1.fc6.remi Thunderbird/2.0.0.6 Mnenhy/0.7.5.666
  • Xref: ellandroad.demon.co.uk comp.os.linux.advocacy:570108
How Google Works

.----
| Specifications:
|
| * Over 450,000 servers[1] ranging from a 533 MHz Intel Celeron to a
|   dual 1.4 GHz Intel Pentium III (as of 2005)
| * One or more 80GB hard disks per server (2003)
| * 2–4 GiB of memory per machine (2004)
|
| The exact size and whereabouts of the data centers Google uses are
| unknown, and official figures remain intentionally vague. In a 2000
| estimate, Google's server farm consisted of 6000 processors, 12,000
| common IDE disks (2 per machine, and one processor per machine), at
| four sites: two in Silicon Valley, California and two in
| Virginia.[6] Each site had an OC-48 (2488 Mbit/s) internet
| connection and an OC-12 (622 Mbit/s) connection to other Google
| sites. The connections are eventually routed down to 4 x 1 Gbit/s
| lines connecting up to 64 racks, each rack holding 80 machines and
| two ethernet switches.
|
| [1] http://www.baselinemag.com/print_article2/0,1217,a=182560,00.asp
`----

http://geek2live.blogspot.com/2007/10/how-google-works.html

-- 
K.
http://slated.org

.----
| "[Microsoft] are willing to lose money for years and years just to
|  make sure that you don't make any money, either." - Bob Cringely.
|  - http://blog.businessofsoftware.org/2007/07/cringely-the-un.html
`----

Fedora release 7 (Moonshine) on sky, running kernel 2.6.22.1-41.fc7
 23:45:03 up 76 days, 22:39,  2 users,  load average: 0.11, 0.27, 0.18

[Date Prev][Date Next][Thread Prev][Thread Next]
Author IndexDate IndexThread Index