• DocumentCode
    3779482
  • Title

    Metrics and performance indicators to evaluate workflow processes on the cloud

  • Author

    Narayan Debnath;M. Peralta;C. Salgado;L. Baigorria;G. Montejano;D. Riesco

  • Author_Institution
    Department of Computer Science, Winona State University, USA
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Organizations tend to virtualize their business on the cloud due to information globalization. From business process complexity perspective, one of the technologies which most significantly support this automation is Workflow Management Systems. They support definition, synchronization and execution of business process activities. Having a tool to measure the quality of these systems on the cloud is essential. Thus, we propose a framework for evaluating and measuring this workflow process which helps to improve and maintain the models and processes they represent. Within this framework, a set of metric is applied to individually measure each relevant aspect of the models. The structural complexity of the global process and the models they represent is also measured. Each execution of a business process has a subjacent workflow which increments the work on the cloud thus, we applied our framework to evaluate workflow process on the cloud.
  • Keywords
    "Adaptation models","Measurement","Analytical models"
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications (AICCSA), 2015 IEEE/ACS 12th International Conference of
  • Electronic_ISBN
    2161-5330
  • Type

    conf

  • DOI
    10.1109/AICCSA.2015.7507252
  • Filename
    7507252