• DocumentCode
    169285
  • Title

    Multivariate quality control chart for monitoring SLA of workflow applications

  • Author

    WenAn Tan ; Yong Sun ; Leer Li ; Anqiong Tang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2014
  • fDate
    21-23 May 2014
  • Firstpage
    667
  • Lastpage
    671
  • Abstract
    Cloud computing and service computing can be integrated into a distributed computing platform which provides a set of services to their users. Different services could cooperate with each other to accomplish more intricate tasks. However, third-party cloud services may cause failures or quality violation of workflow applications. Especially in some critical business scenarios, service performance violations need to be proactively prevented. It is important to identify the violation of service quality for service management. In this work, we propose a new SLA (Service Level Agreement) monitoring model to manage quality of workflow. Multivariate control chart is employed to detect the violations. Violation identifying approach based multivariate control chart can be used to avoid failures of workflow applications in an effective way.
  • Keywords
    cloud computing; contracts; control charts; cloud computing; distributed computing; multivariate quality control chart; service computing; service level agreement monitoring model; third-party cloud services; workflow applications SLA monitoring; Analytical models; Australia; Equations; Mathematical model; Monitoring; Quality of service; Reliability; Cloud Computing; Performance Monitor; Quality of Service; Service Level Agreement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design (CSCWD), Proceedings of the 2014 IEEE 18th International Conference on
  • Conference_Location
    Hsinchu
  • Type

    conf

  • DOI
    10.1109/CSCWD.2014.6846924
  • Filename
    6846924