• DocumentCode
    3298645
  • Title

    Workload Monitoring in Hybrid Clouds

  • Author

    Naik, Vijay K. ; Beaty, K. ; Vogl, Norbert ; Sanchez, Javier

  • Author_Institution
    IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    2013
  • fDate
    June 28 2013-July 3 2013
  • Firstpage
    816
  • Lastpage
    822
  • Abstract
    In this paper, we describe architecture and design of an innovative integrated monitoring solution for monitoring workloads in a hybrid cloud. Using off-the-shelf commercially available monitoring products and services, the solution described here allows for monitoring of a workload deployed across public and private clouds separated by enterprise firewall. The monitored data from endpoints distributed across the hybrid cloud is aggregated in a centralized monitoring system for analysis and for performing higher level management functions. Our solution is automated and can be integrated with other IT service management functions. The solution can leverage any endpoint monitoring functions and services a cloud service provider may offer. The monitoring framework described in this paper forms the basis for the hybrid cloud monitoring capability in IBM´s hybrid cloud offering,IBM Service Management Extensions for Hybrid Cloud.
  • Keywords
    cloud computing; computerised monitoring; firewalls; IBM hybrid cloud offering; IBM service management extensions; IT service management functions; centralized monitoring system; endpoint monitoring functions; endpoint monitoring services; enterprise firewall; hybrid cloud monitoring capability; innovative integrated monitoring solution; private clouds; public clouds; workload monitoring; Automation; Cloud computing; Logic gates; Monitoring; Portals; Security; Servers; Hybrid cloud; ITM; hybrid cloud integrator; hybrid cloud workload monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2013 IEEE Sixth International Conference on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-5028-2
  • Type

    conf

  • DOI
    10.1109/CLOUD.2013.145
  • Filename
    6740228