The simulation of decentralized control: a hostless resource allocation model
Article Abstract:
In this article, an alternative approach to control for computing systems, with possible distributed, parallel, or multiprocess application, is proposed and evaluated through simulation. Functions normally handled by centralized controllers, schedulers, arbiters and priority schemes are accomplished through a decentralized model of control. Resource allocation, one important control function, is resolved within a Challenge Ring (CR) in which individual computing tasks independently (or without a host, hence their interaction is called hostless) exercise algorithms to gain access to computing resources. Simulated system performance is monitored by analyzing individual task processing times, total system times, resource availability, resource utilization, and system efficiency. Our preliminary experimental results indicate that such decentralized (or hostless) models can be superior to some standard centralized (or hosted) versions. Moreover, tasks in CR networks that interact through cooperative strategies in some cases exhibit better performance. Our overall results encourage the further exploration of decentralized control models which could be useful in the continuing pursuit of alternative machine constructs (e.g. non-von Neumann architectures) and new distributed operational schemes (e.g. hostless network operating systems). (Reprinted by permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1992
User Contributions:
Comment about this article or add new information about this topic:
An Example of Error Analysis in Dynamic Model Validation
Article Abstract:
Determining the quality of a model is always troublesome for the model builder and-or user. Error analysis is a useful approach when modeling dynamic systems and when measurements or nominal trajectories are available from the physical system. Techniques of error analysis based upon measures of the error in both the time and frequency domains are discussed. Further, an approach to analyzing the propagation of errors based upon dynamic models of the error is presented. Time domain measures and error propagation analysis are demonstrated on a sixth-order river basin econometric model. (Reprinted by Permission of Publisher).
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1985
User Contributions:
Comment about this article or add new information about this topic:
Simulation Example in Water Resource Management
Article Abstract:
Water resource management in Wyoming's Powder River Basin was the subject of a simulation study. Specifically, the study investigated the availability of ground water vis-a-vis the projected water needs of a synthetic fuels plant. The study demonstrated that the water would not be significantly depleted; however, due to economic problems the plans to build the plant have been withdrawn.
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1983
User Contributions:
Comment about this article or add new information about this topic:
- Abstracts: COSMOS: a simulation language for continuous, discrete and combined models. Combined Simulation and Network Optimization Analysis of a Production-Distribution System
- Abstracts: Simulation of insect disease dynamics: an application of SERB to a rangeland ecosystem. Simulation Modeling-The Systems Dynamics Way
- Abstracts: Simulation of a Digital Aircraft Flight Control System. A Wish List for Simulation-Language Specifications. Three-Dimensional Simulation of Tumor Growth
- Abstracts: Simulation of the experimental data from WINDII flown on the UARS/NASA satellite. Simulation at NASA Ames Research Center