Device-Edge-Cloud Continuum Paradigms, Architectures and Applications
This book focuses on both theoretical and practical aspects of the “Device-Edge-Cloud continuum”, a development approach aimed at the seamless provision of next-generation cyber-physical services through the dynamic orchestration of heterogeneous computing resources, located at different distances t...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer Nature Switzerland
2024, 2024
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| Edition: | 1st ed. 2024 |
| Series: | Internet of Things, Technology, Communications and Computing
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Compressive Sensing approaches for IoT-based healthcare devices
- Obfuscation detection and their applications
- Occupancy prediction in buildings: state of the art and future directions
- The Role of Federated Learning in Artificial Intelligence Architecture for Cancer Patients Support
- Towards Secure TinyML on a Standardized AI Architecture
- Scheduling Offloading Decisions for Heterogeneous Drones on Shared Edge Resources
- Towards the Edge Cloud Continuum through the Serverless Workflows
- Compute Continuum for Smart Agriculture: an application of LSTM networks to imputation of missing sensor data
- Performance Analysis of a Blockchain for a traceability system based on the IoT sensor units along the Agri-Food supply-chain
- Autonomous Vehicles in Smart Cities: a Deep Reinforcement Learning Solution
- Edge-to-cloud Compute Continuum with applications to smart cities
- Edge intelligence for environmental audio classification: an approach based on Sentiment Analysis and tinyML
- Conclusion