The new levels of computer-based connectivity bring with them more instances of massively distributed decision systems and corresponding computer-based systems to support them. From the selection of video contents in modern TV networks all the way to massively multi-player online games, massively large number of users makes joint decisions.
Our research recognizes this distinct type of a decision support system (DSS) – the massively distributed DSS. Specifically, the research examines the distributed computational architecture of this type of DSS and studies comprehensively its performance characteristics. Using a new performance evaluation approach it explores the relationships between expected DSS performance and essential attributes of massively distributed decision situations such as decision pace, decisions interdependence, decision support complexity and number of users. This research builds on – and integrates – three distinct bodies of knowledge, namely DSS, distributed computational systems and performance evaluation of computational systems.
Anat Goldstein is currently a guest scientist and a lecturer at the Institute for Computer Science and Business Information Systems, University of Duisburg-Essen, Germany. She received her doctorate from the department of Management of Technology and Information Systems at the Faculty of Management, Tel Aviv University. She also holds an MBA and a BA in Computer Science and Economics from Tel-Aviv University.
Her current research interests include enterprise modeling, domain specific modeling languages (DSML), IS security, decision support systems, distributed systems and performance evaluation. She can be reached at anat.goldstein@uni-due.de.