Sökning: "Edge Cloud"

Visar resultat 1 - 5 av 111 uppsatser innehållade orden Edge Cloud.

1. 1. Evaluation of Application and Platform ContinuousDeployment Strategies and Tools over Edge Clusters

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :André Lundqvist; [2023]
   Nyckelord :;

   Sammanfattning : The purpose of this thesis was the investigation of using Cloud Native tools in an On-prem Edge Deployment. Edge Computing allows software with explicit demands on latency, data management and reliability to utilize Cloud Computing by moving the compute power to the location of need while leaving the management in the Cloud. LÄS MER

3. 2. A Multi-camera based Next Best View Approach for Semantic Scene Understanding

   Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Anton Persson; [2023]
   Nyckelord :Next Best View; NBV; Semantic Scene Understanding; Robotics;

   Sammanfattning : Robots are becoming more common; robotics has gone from bleeding-edge technology to an everyday topic that families discuss around thedinner table.The number of robots in the industry is growing, which means thatthe demand and need for robots to understand the environment it isworking in is also growing. LÄS MER

4. 3. Distributed Artificial Intelligence Based on Edge Computing

   Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Rebecca Fagerström; Simon Neüman; [2023]
   Nyckelord :Internet of Things; IoT; Edge Computing; Distributed Intelligence; Artificial Intelligence; AI;

   Sammanfattning : The future Internet is expected to be driven by the prevalence of the Internet of Things (IoT), where it is envisioned that anything can be connected. In the last decade, there has been a paradigm shift in IoT from centralized cloud computing to so-called edge computing in order to compute tasks closer to the source of data generation. LÄS MER

5. 4. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

   Master-uppsats, KTH/Mekatronik och inbyggda styrsystem

   Författare :Helgi Hrafn Björnsson; Jón Kaldal; [2023]
   Nyckelord :Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

   Sammanfattning : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. LÄS MER

7. 5. Dynamic container orchestration for a device-cloud continuum

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Camilo Alfonso Rodriguez Garzon; [2023]
   Nyckelord :Edge computing; kubernetes operator; dynamic scheduling; Edge computing; Kubernetes-operatör; dynamisk schemaläggning;

   Sammanfattning : Edge computing has emerged as a paradigm to support the growing demand for real-time processing of data generated at the edge of the network. As the devices at the edge are constrained, one of the challenges in the area is how to schedule workloads. LÄS MER