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Device-edge-cloud continuum = paradigms, architectures and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Device-edge-cloud continuum/ edited by Claudio Savaglio ... [et al.].
其他題名:	paradigms, architectures and applications /
其他作者:	Savaglio, Claudio.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	vi, 233 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Internet of things. -
電子資源:	https://doi.org/10.1007/978-3-031-42194-5
ISBN:	9783031421945

Device-edge-cloud continuum = paradigms, architectures and applications /
Device-edge-cloud continuumparadigms, architectures and applications /[electronic resource] :edited by Claudio Savaglio ... [et al.]. - Cham :Springer Nature Switzerland :2024. - vi, 233 p. :ill. (some col.), digital ;24 cm. - Internet of things, technology, communications and computing,2199-1081. - Internet of things, technology, communications and computing..

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.

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 to the user and featured by different peculiarities (high responsiveness, high computing power, etc.) The book specifically explores recent advances in paradigms, architectures, models, and applications for the "Device-Edge-Cloud continuum", which raises many 'in-the-small' and 'in-the-large' issues involving device programming, system architectures and methods for the development of IoT ecosystem. In this direction, the contributions presented in the book propose original solutions and aim at relevant domains spanning from healthcare to industry, agriculture and transportation. Presents approaches, paradigms and architectures for the development of the Device-Edge-Cloud continuum; Describes applications of the Device-Edge-Cloud continuum in smart cities, smart agriculture, and autonomous vehicles; Proposes original solutions that aim at relevant domains spanning from healthcare to industry.

ISBN: 9783031421945

Standard No.: 10.1007/978-3-031-42194-5doiSubjects--Topical Terms:

2057703
Internet of things.

LC Class. No.: TK5105.8857

Dewey Class. No.: 004.678

Device-edge-cloud continuum = paradigms, architectures and applications /
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505 0 $a 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.
520 $a 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 to the user and featured by different peculiarities (high responsiveness, high computing power, etc.) The book specifically explores recent advances in paradigms, architectures, models, and applications for the "Device-Edge-Cloud continuum", which raises many 'in-the-small' and 'in-the-large' issues involving device programming, system architectures and methods for the development of IoT ecosystem. In this direction, the contributions presented in the book propose original solutions and aim at relevant domains spanning from healthcare to industry, agriculture and transportation. Presents approaches, paradigms and architectures for the development of the Device-Edge-Cloud continuum; Describes applications of the Device-Edge-Cloud continuum in smart cities, smart agriculture, and autonomous vehicles; Proposes original solutions that aim at relevant domains spanning from healthcare to industry.
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