Accession Number : ADA294939
Title : Stochastic Network Processes.
Descriptive Note : Final rept. 1 Jan-31 Dec 94,
Corporate Author : GEORGIA INST OF TECH ATLANTA SCHOOL OF INDUSTRIAL AND SYSTEMS ENGINEERING
Personal Author(s) : Serfozo, Richard F.
PDF Url : ADA294939
Report Date : 27 MAR 1995
Pagination or Media Count : 6
Abstract : The general theme of our 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 our research is the emphasis on the next generation of intelligent networks that will be the backbone of our 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. Our goal is to provide an understanding of these more complex intelligent networks by describing their stochastic behavior.
Descriptors : *STOCHASTIC PROCESSES, *COMPUTER NETWORKS, COMPUTERIZED SIMULATION, DISTRIBUTED DATA PROCESSING, PACKETS, LOGISTICS MANAGEMENT, COMPUTERS, BIBLIOGRAPHIES, REPORTS, PARALLEL PROCESSING, ABSTRACTS, NODES, COMMUNICATIONS NETWORKS, CONGESTION, PARTS, TELECOMMUNICATIONS, INDUSTRIAL PLANTS, SUPPLIES, BATCH PROCESSING.
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE