Date of Award

12-2022

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Computer Engineering and Sciences

First Advisor

Carlos E. Otero

Second Advisor

Munevver Subasi

Third Advisor

Samuel P. Kozaitis

Fourth Advisor

Josko Zec

Abstract

The proliferation of the Internet-of-Things has raised demand for computing, storage, and network resources. The cloud model is ill-equipped to handle the volume and variety of data travelling to and from the cloud’s core as more data is generated and consumed at the network’s edge. Some applications necessitate low-latency connectivity and geographical awareness, highlighting the cloud’s centralization shortcomings. By localizing resources, minimizing bandwidth utilization, and lowering latency, the fog and edge layers are proposed to circumvent these limitations. At these layers, resource orchestration is crucial because poor resource management has an impact on service delivery. The aim of this study is to determine the viability of using cloud-native tools at the edge and fog layers by examining the overhead incurred by orchestration services in areas like networking, computing, time management, and software maintenance. Communication-brokering orchestration services impose prohibitive overheads, which may reduce the capacity of these layers to process loads.

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