Cloud-based decision support systems and availability context: the probability of successful decision outcomes

  • Stephen RussellEmail author
  • Victoria Yoon
  • Guisseppi Forgionne
Original Article


In an age of cloud computing, mobile users, and wireless networks, the availability of decision support related computing resources can no longer guarantee five-nines (99.999%) availability. Since the dependence on decision support systems is ever increasing, obtaining accurate deterministic advice from these systems will become critical. This study proposes a probabilistic model that maps decision resource availability to correct decision outcomes. Grounded in system reliability theory, the probability functions are given and developed. The model is evaluated with a simulated decision opportunity and the outcome of the experimentation is quantified using a goodness of fit measure and ANOVA testing.


Context aware computing Availability awareness Decision support systems 


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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Stephen Russell
    • 1
    Email author
  • Victoria Yoon
    • 2
  • Guisseppi Forgionne
    • 2
  1. 1.Department of Information Systems & Technology ManagementThe George Washington UniversityWashingtonUSA
  2. 2.Information Systems DepartmentUniversity of MarylandBaltimore CountyUSA

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