• DocumentCode
    3220003
  • Title

    Application management services analytics

  • Author

    Ying Li ; Ta-Hsin Li ; Rong Liu ; Jeaha Yang ; Juhnyoung Lee

  • Author_Institution
    IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    2013
  • fDate
    28-30 July 2013
  • Firstpage
    366
  • Lastpage
    371
  • Abstract
    Enterprises often maintain many IT applications to support their business. Application Management Services (AMS) aim to maintain high levels of service quality and availability by restoring normal application service operations and minimizing negative business impact. In this paper, we present the AMS Analytics System for improving the productivity and quality of delivery for AMS practices. Issues regarding IT applications are formally referred as IT incidents or tickets, which are an important vehicle for measuring quality of AMS. IT incident ticket analytics, an important component of of the analytics system, measures workload variability, resource productivity and delivery performance using algorithms from statistics, queuing theory, data clustering and signal processing. The AMS Analytics System provides a standardized, integrated analytics platform supporting AMS delivery. It is built on a Web platform using a set of standard open stack software, enhanced with advanced analytics. Since its initial release, we have applied the AMS Analytics System to several dozens of real-world enterprise users, receiving very positive feedback.
  • Keywords
    business data processing; information technology; productivity; AMS analytics system; AMS delivery; AMS practices; IT applications; IT incident ticket analytics; Web platform; application management services analytics; data clustering; delivery performance; enterprises; negative business impact; normal application service operations; productivity; quality of delivery; queuing theory; service quality; signal processing; standard open stack software; standardized integrated analytics platform; statistics; workload variability; Data models; Maintenance engineering; Market research; Productivity; Resource management; Standards; Application management services; IT incident analysis; IT incident tickets; IT incidents; incident management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Operations and Logistics, and Informatics (SOLI), 2013 IEEE International Conference on
  • Conference_Location
    Dongguan
  • Print_ISBN
    978-1-4799-0529-4
  • Type

    conf

  • DOI
    10.1109/SOLI.2013.6611442
  • Filename
    6611442