• Home
  • About Us
  • Contact Us
  • Privacy Policy
  • Special Offers
Business Intelligence Info
  • Business Intelligence
    • BI News and Info
    • Big Data
    • Mobile and Cloud
    • Self-Service BI
  • CRM
    • CRM News and Info
    • InfusionSoft
    • Microsoft Dynamics CRM
    • NetSuite
    • OnContact
    • Salesforce
    • Workbooks
  • Data Mining
    • Pentaho
    • Sisense
    • Tableau
    • TIBCO Spotfire
  • Data Warehousing
    • DWH News and Info
    • IBM DB2
    • Microsoft SQL Server
    • Oracle
    • Teradata
  • Predictive Analytics
    • FICO
    • KNIME
    • Mathematica
    • Matlab
    • Minitab
    • RapidMiner
    • Revolution
    • SAP
    • SAS/SPSS
  • Humor

Lawrence Livermore Lab culls 26 data centers

January 27, 2015   DWH News and Info

The Lawrence Livermore National Laboratory (LLNL) in California has successfully taken out 26 data centers, a victory that has yielded annual savings of $ 305,000 in energy bills and $ 43,000 in maintenance costs. More significantly, it calculates it has saved an estimated $ 10m on future equipment purchases.

The savings comes despite the organisation’s expanding workload, handling big data streams on counter terrorism, defence, bio security, energy and basic science. They also take place while the US government has a major program to save $ 1 billion by consolidating public sector data centers.

Despite the exponential growth of each of these big data sources and a soaring processing burden, the agency has been able to make sufficient efficiency savings to merit closing 26 data centers and rationalizing its estate.  The achievement has been recognised with a US Department of Energy Sustainability Award, which cites its ‘exemplary performance in advancing sustainability objectives through innovative and effective projects’.

 Lawrence Livermore Lab culls 26 data centersMore than 60 sites
LLNL is known for its high performance computing (HPC), using systems such as the Cray Catalyst shown here, and IBM Blue Gene systems that have scored well in the supercomputing league. But the organization has a lot more IT: within the LLNL any computing facility comprising at least 500 square feet, that contains one or more servers, can be categorized as a data center. At the start of the consolidation drive, in 2011, LLNL had over 60 data centers of varying sizes, dedicated to discrete projects.

In the consolidation 126 physical servers were moved to the organisation’s new Enterprise Data Center (EDC), where a 15,620 square foot facility houses 2,500 mission critical science, engineering, computational research and business computing systems.

The operations team at EDC created 140 virtual servers to act as a private cloud in which virtual servers could pool unused CPU space on physical servers. Using this processing power for multiple clients helped the EDC drastically cut the number of physical servers needed. A single physical platform can be subdivided to create up to 50 virtual servers.

LLNL chief information office Doug East has promised a “broader institutional phase” to build on these initial easy win savings. The operational savings on closing 26 data centers were, he said, the “low hanging fruit.”

The US Department of Energy’s Better Building Challenge obligates the LLNL to cut the energy intensity of data centers by at least 20% in 10 years.

Recommended article: Chomsky: We Are All – Fill in the Blank.
This entry passed through the Full-Text RSS service – if this is your content and you’re reading it on someone else’s site, please read the FAQ at fivefilters.org/content-only/faq.php#publishers.

Colbran South Africa

Centers, culls, data, Lawrence, Livermore
  • Recent Posts

    • Database version control: Getting started with Flyway
    • Support CRM with New Dynamics 365 Field Service Mobile App
    • 6 Strategies for Achieving Your Business Goals in the New Year
    • Researchers propose using the game Overcooked to benchmark collaborative AI systems
    • Oracle Launches Version 21c
  • Categories

  • Archives

    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • March 2020
    • February 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    • December 2016
    • November 2016
    • October 2016
    • September 2016
    • August 2016
    • July 2016
    • June 2016
    • May 2016
    • April 2016
    • March 2016
    • February 2016
    • January 2016
    • December 2015
    • November 2015
    • October 2015
    • September 2015
    • August 2015
    • July 2015
    • June 2015
    • May 2015
    • April 2015
    • March 2015
    • February 2015
    • January 2015
    • December 2014
    • November 2014
© 2021 Business Intelligence Info
Power BI Training | G Com Solutions Limited