Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Edge Server"”.
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On the Optimization of Edge Server Scaling and Placement for Open Radio Access Network (O-RAN) Slicing
Managing edge server resources for O-RAN slicing can be viewed from two complementary perspectives: service providers, who aim to satisfy use-case requirements with minimal leased computing resources, and infrastructure providers, who seek to deploy the minimum number of edge servers across …
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Lightweight edge AI vision models for IoT-based insect monitoring
… for AI-powered IoT-based resource-constrained edge devices, targeting Brown Marmorated Stink Bug. The work was carried out in three main phases. First, a low-power edge-based detection system was developed and deployed using a Microcontroller Unit (MCU)-based OpenMV board equipped with a camera …
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Scaling RFID positioning systems using distributed and split computing
… to offload expensive tasks to the cloud or an edge server; the framework enables the use of small, cheap commodity compute devices as hosts at the edge while maintaining the high accuracy of fine-grained positioning. The thesis describes the design and implementation of these techniques. …
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Remote Software Guard Extension (RSGX)
… to an enclave hosted in a remote centralized edge server. Operating as clients, low-end TEE-lacking devices can harness the hardware security features provided by TEEs of either the same or different architecture. RSGX is tailored to accommodate applications developed with diverse …
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Securing Multi-Layer Federated Learning: Detecting and Mitigating Adversarial Attacks
… separation or abstraction between clients and servers. When considering multi-layer FL systems, which contain edge server layers, the structural differences warrant new strategies to handle adversaries. While existing works primarily address attack prevention and mitigation in conventional …
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Resource efficient distributed inference of deep neural networks for Edge AI
… However, executing these models efficiently on edge devices remains a major challenge due to their high computational, energy, and bandwidth demands. This dissertation presents a unified framework for resource-efficient distributed inference of DNNs in Edge AI, built upon three tightly coupled …
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Resource Optimization Strategies and Optimal Architectural Design for Ultra-Reliable Low-Latency Applications in Multi-Access Edge Computing
… this evolution focuses on ultra-dense edge networks with multi-access edge computing (MEC) facilities. MEC emerges as a solution, placing resourceful servers closer to users. However, the dynamic nature of processing and interaction patterns necessitates effective network control, which …
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Secure Networking and Efficient Computing in Unmanned Aerial Vehicle Assisted Green IoT Networks
… to offload some computational tasks to an edge server. This task offloading allows the UAVs to run complex algorithms efficiently without compromising their performance. This dissertation develops secure networking and efficient computing solutions for UAV-assisted GIoT networks. It …
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Live migration of real-time containers
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-05-01
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Enable Intelligence on Billion Devices with Deep Learning
<p>With the proliferation of edge computing and Internet of Things (IoT), billions of edge devices (e.g., smartphone, AR/VR headset, autonomous car, etc) are deployed in our daily life and constantly generating the gigantic amount of data at the network edge. Bringing deep learning to such huge …