LEADER 04361nam 22005895 450 001 9910765496203321 005 20231116135405.0 010 $a3-031-42194-9 024 7 $a10.1007/978-3-031-42194-5 035 $a(MiAaPQ)EBC30951824 035 $a(Au-PeEL)EBL30951824 035 $a(DE-He213)978-3-031-42194-5 035 $a(EXLCZ)9928863494300041 100 $a20231116d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDevice-Edge-Cloud Continuum$b[electronic resource] $eParadigms, Architectures and Applications /$fedited by Claudio Savaglio, Giancarlo Fortino, MengChu Zhou, Jianhua Ma 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (234 pages) 225 1 $aInternet of Things, Technology, Communications and Computing,$x2199-1081 311 08$aPrint version: Savaglio, Claudio Device-Edge-Cloud Continuum Cham : Springer,c2023 9783031421938 327 $aIntroduction -- 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. 330 $aThis book focuses on both theoretical and practical aspects of the ?Device-Edge-Cloud continuum?, a development approach aimed at the seamless provision of next-generation cyber-physical services through the dynamic orchestration of heterogeneous computing resources, located at different distances to the user and featured by different peculiarities (high responsiveness, high computing power, etc.). The book specifically explores recent advances in paradigms, architectures, models, and applications for the ?Device-Edge-Cloud continuum?, which raises many 'in-the-small' and 'in-the-large' issues involving device programming, system architectures and methods for the development of IoT ecosystem. In this direction, the contributions presented in the book propose original solutions and aim at relevant domains spanning from healthcare to industry, agriculture and transportation. Presents approaches, paradigms and architectures for the development of the Device-Edge-Cloud continuum; Describes applications of the Device-Edge-Cloud continuum in smart cities, smart agriculture, and autonomous vehicles; Proposes original solutions that aim at relevant domains spanning from healthcare to industry. 410 0$aInternet of Things, Technology, Communications and Computing,$x2199-1081 606 $aTelecommunication 606 $aSignal processing 606 $aApplication software 606 $aCommunications Engineering, Networks 606 $aDigital and Analog Signal Processing 606 $aComputer and Information Systems Applications 615 0$aTelecommunication. 615 0$aSignal processing. 615 0$aApplication software. 615 14$aCommunications Engineering, Networks. 615 24$aDigital and Analog Signal Processing. 615 24$aComputer and Information Systems Applications. 676 $a621.382 700 $aSavaglio$b Claudio$01449238 701 $aFortino$b Giancarlo$0858771 701 $aZhou$b MengChu$028004 701 $aMa$b Jianhua$01449239 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910765496203321 996 $aDevice-Edge-Cloud Continuum$93645566 997 $aUNINA