Confguring systems of massively distributed, autonomous and interdependent decision makers

Anat Goldstein-Lev*, Gad Ariav

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Massively distributed systems in general and massively distributed DSS in particular have become - and will inevitably continue to become - more and more common in the contemporary massively networked world. However, the authors understanding - and corresponding intuitions - of system performance at these scales are only preliminary. This study aimed at the development of a solid approach and modeling platform for the study of Massively Distributed DSS, the MDDSS, an application at the forefront of IS/ICT applications today. The key contribution of this research is that it charts design guidelines with respect to expectedMDDSS performance, guidelines which explicitly relate essential and observable attributes of the decision situations to the corresponding preferred MDDSS architecture.

Original languageEnglish
Pages (from-to)17-41
Number of pages25
JournalInternational Journal of Decision Support System Technology
Issue number2
StatePublished - Apr 2012


  • DSS Architecture
  • Decision support system (DSS)
  • Distributed DSS
  • Performance evaluation
  • Performance evaluation process algebra (PEPA)
  • System configuration


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