DECENTRALIZED CONTROL OF DISTRIBUTED PROCESSING SYSTEMS

<p>This thesis presents a methodology for implementing decentralized scheduling for distributed systems. The environment in which the controlling entities make decisions is stochastic and can be described as uncertain since each entity may have a different view of the system state. As a consequence, these entities may make inconsistent decisions.</p><p>The methodology is based on defining the system state as a set of distributions and using a queueing model to predict the future behaviour of the system. The predicted state is used to schedule the individual job tasks based on minimum predicted job response time.</p><p>A hypothetical real system is simulated. The methodology was tested using different queueing models and under different environments. An evaluation of the proposed technique using the simulation results indicates a consistent performance improvement over the no network case. Suggestions for extending this research are also presented.</p>

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

Dissertation

Year

1982

Author dc:creator

• EZZAT, AHMED KAMAL

• Engineering
• System Science

Repository record dc:identifier

https://scholars.unh.edu/dissertation/1332

OAI identifier oai:identifier

oai:scholars.unh.edu:dissertation-2331