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Applying Spacial Knowledge to Scheduling in the Creation of a Parallel Discrete Event System

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  • Thu, 03/09/2017 - 1:30pm - 2:30pm




Applying Spacial Knowledge to Scheduling in the Creation of a Parallel Discrete Event System

MSc Thesis Proposal by:

John Penn

Date:  Thursday, March 9th, 2016
Time:  1:30 pm – 2:30 pm
Location: 3105, Lambton Tower

Abstract: The increasing complexity of agent to agent communication in discrete environment systems increases the computation time and at times introduces faults in the logic of the agent interactions. Social agent simulations have additional attributes in that agents possess knowledge of various types that can help in predicting the agent interactions. The objective of this thesis is to address the design of agent based simulations in discrete event based models in order to reduce run times and design costs when ported to parallel platform. We propose a knowledge based framework to the simulation scheduler in order execute the agents on the parallel platform by clustering the agents using special knowledge. We will measure the impact of the knowledge based framework while maintaining the quality and reliability of the initial linear model.

Thesis Committee:
Internal Reader: Dr. Robert Kent
External Reader: Dr. Kemal Tepe
Advisor: Dr. Ziad Kobti



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