Using queuing theory to predict organizational metrics

ABSTRACT

Most existing organizational design processes focus on either the qualitative or domain-independent features of candidate designs. This paper demonstrates the significance of domain-specific features through an examination of an organizationally-driven information retrieval network. The behavior of a distributed search process and the consequences of hierarchical control are described. A model capable of predicting these characteristics is created in the ODML framework using techniques from queuing theory. This model can be used to guide the search for an appropriate design.

REFERENCES

• 1: H. A. David. Order Statistics, 2nd Ed. Wiley, 1981.
• 2: Bryan Horling , Victor Lesser, Quantitative organizational modeling and design for multi-agent systems, University of Massachusetts Amherst, 2006
• 3: Haizhong Zhang , Victor Lesser, A Dynamically Formed Hierarchical Agent Organization for a Distributed Content Sharing System, Proceedings of the Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (IAT'04), p.169-175, September 20-24, 2004 [doi>10.1109/IAT.2004.4]

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence

Additional Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.3 Group and Organization Interfaces

  I. Computing Methodologies
  I.6 SIMULATION AND MODELING

General Terms:
Design

Keywords:
hierarchical systems, organizational modeling, organizations, quantitative modeling, queuing theory