• DocumentCode
    2719642
  • Title

    Scalable cluster administration - Chiba City I approach and lessons learned

  • Author

    Navarro, John-Paul ; Evard, Rémy ; Nurmi, Dan ; Desai, Narayan

  • Author_Institution
    Div. of Math. & Comput. Sci., Argonne Nat. Lab., IL, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    215
  • Lastpage
    221
  • Abstract
    Systems administrators of large clusters often need to perform the same administrative task hundreds or thousands of times. Administrators have traditionally performed some time-consuming tasks, such as operating system installation, configuration, and maintenance, manually. By combining network services such as DHCP, TFTP, FTP, HTTP, and NFS with remote hardware control and scripted installation, configuration, and maintenance techniques, cluster administrators can automate these administrative tasks. Scalable cluster administration addresses this challenge: What hardware and software design techniques can cluster builders use to automate cluster administration on very large clusters? We describe the approach used in the Mathematics and Computer Science Division of Argonne National Laboratory on Chiba City I, a 314-node Linux cluster; and we analyze the scalability, flexibility, performance and reliability benefits and limitations from that approach.
  • Keywords
    computer network management; workstation clusters; Chiba City I; Linux cluster; cluster administration; network services; scalable cluster; Automatic control; Cities and towns; Computer science; Hardware; Laboratories; Linux; Mathematics; Operating systems; Performance analysis; Software design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing, 2002. Proceedings. 2002 IEEE International Conference on
  • Print_ISBN
    0-7695-2066-9
  • Type

    conf

  • DOI
    10.1109/CLUSTR.2002.1137749
  • Filename
    1137749