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Efficient Prediction of Application Metrics for E-Services

Dimension Value
  • Discipline
  • Business Sciences
    • Information Systems
  • Project Working Hours
  • Not Specified
  • Research Study Hybrid Value Creation
  • Not Specified
  • Funding Institutions
  • National governmental Funding
    • Other
  • Other Funding Institutions
  • Australian Research Council (ARC)

Efficient Prediction of Application Metrics for E-Services ()

Application Service Providers (ASPs) are one of the fastest growing classes of e-services and operate on the principle of renting software applications. This project aims to develop prediction techniques to estimate quality of service metrics for ASPs. The efficient prediction of the service levels that can be ensured is challenging given the dynamic nature of the Internet and the semantics of application metrics not being formally defined. The project will result in the development of a prototype system to support prediction of service levels. This system will be accessible to the Australian e-services industry via a web interface.

This project was described byAdmin Istrator (21. June 2011 - 9:55)
This project was last edited by Sanja Tumbas (1. July 2012 - 22:27)

Further information

This Project is related to the following Organization/s