Electrical and Computer Engineering ETDs

Publication Date

Spring 5-13-2023

Abstract

In the modern world, an expansive range of computing systems are being used, and in all of these systems, energy efficiency and performance optimization are of utmost significance. But performance optimization means different things for different computing systems. Because of their difference in nature, computing systems have different requirements for efficiency and optimization. Distributed systems such as smart-grid systems, edge-computing environments, and blockchain systems focus on the behavior of the agents. Thus, the application of network economics principles, such as Game Theory and Contract Theory, can improve the operation of these systems in a multitude of ways. On the other hand, a digital control system for a quantum computer has to focus on the improvement of response time and bandwidth for functioning properly. In this dissertation, we present a study of the design and performance of these different computing systems, i.e., smart-grid systems, edge-computing systems, blockchain systems, and a digital controller for quantum computing systems. We identify the parts of these systems where performance is the most critical aspect, design system models to satisfy the latency, throughput, and energy demands, and extensively measure the performance of our proposed architectures and solutions.

Document Type

Dissertation

First Committee Member (Chair)

Eirini Eleni Tsiropoulou

Second Committee Member

Jim Plusquellic

Third Committee Member

Payman Zarkesh-Ha

Fourth Committee Member

Amanda Bienz

Fifth Committee Member

Daniel Lobser

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