Stochastic Network Processes
Abstract
The general theme of the research has been to develop stochastic network processes for modeling the movement of discrete units in networks. Primary examples are the movement of parts and supplies in manufacturing plants and in distribution systems and the movement of data packets and telephone calls in computer and telecommunications networks. The distinguishing feature of the research is the emphasis on the next generation of intelligent networks that will be the backbone of the manufacturing and computer systems. In these networks. the processing of units at the nodes and the routing of units typically depend dynamically on the actual network congestion, and units move concurrently (e.g. batch processing) most of the present theory of stochastic network processes is for unintelligent networks in which the nodes operate independently, the routes of units are independent, and the units move one-at-a- time. The goal is to provide an understanding of these more complex intelligent networks by describing their stochastic behavior.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 31, 1993
- Accession Number
- ADA279905
Entities
People
- Richard Serfozo
Organizations
- Georgia Tech