Analysis of the C2 system effectiveness using continous processing time

A typical command-control (C[superscript]2) system was modeled and analyzed for peace-time and war-time as Conflict-free Stochastic Timed Placed Petri Net. The decomposition of the model provides an easier method to formulate and to simulate system states. The procedures to evaluate time-related measures: system maximum throughput rate, measured by minimum average circuit processing rate achieved by the system; average cycle processing rate of a C[superscript]2 process, measured by the processing rate of the task circuit formed by a C[superscript]2 process; and the average system response time, measured by the average time elapsed for the system to perform an input were provided. Time and capacity constraints which are specific to characterize system behavior were addressed. The system effectiveness measures are represented and analyzed as a function of task processing time and capacity available to each process and the system. Hence, this makes it possible to analyze the system structure and thus modify the underlying system

Discrete Event Systems: Models and Applications; Proceedings of an IIASA Conference, Sopron, Hungary, August 3-7, 1987

Work in discrete event systems has just begun. There is a great deal of activity now, and much enthusiasm. There is considerable diversity reflecting differences in the intellectual formation of workers in the field and in the applications that guide their effort. This diversity is manifested in a proliferation of DEM formalisms. Some of the formalisms are essentially different. Some of the "new" formalisms are reinventions of existing formalisms presented in new terms. These "duplications" reveal both the new domains of intended application as well as the difficulty in keeping up with work that is published in journals on computer science, communications, signal processing, automatic control, and mathematical systems theory - to name the main disciplines with active research programs in discrete event systems. The first eight papers deal with models at the logical level, the next four are at the temporal level and the last six are at the stochastic level. Of these eighteen papers, three focus on manufacturing, four on communication networks, one on digital signal processing, the remaining ten papers address methodological issues ranging from simulation to computational complexity of some synthesis problems. The authors have made good efforts to make their contributions self-contained and to provide a representative bibliography. The volume should therefore be both accessible and useful to those who are just getting interested in discrete event systems