Towards the Integration of IoT, Cloud and Big Data [electronic resource] : Services, Applications and Standards / edited by Vinay Rishiwal, Pramod Kumar, Anuradha Tomar, Priyan Malarvizhi Kumar.

Colaborador(es): Rishiwal, Vinay [editor.] | Kumar, Pramod [editor.] | Tomar, Anuradha [editor.] | Malarvizhi Kumar, Priyan [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Big Data ; 137Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XII, 154 p. 68 illus., 57 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819960347Tema(s): Computational intelligence | Quantitative research | Cloud Computing | Internet of things | Computational Intelligence | Data Analysis and Big Data | Cloud Computing | Internet of ThingsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
Introduction to Big Data Analytics -- DCD_PREDICT: Using Big Data on Prediction Forchest Diseases by Applying Machine Learning Algorithms -- Design of Energy Efficient IOMT Electrocardiogram (ECG) Machine on 28 Nm FPGA -- Automatic Smart Irrigation Method for Agriculture Data Artificial Intelligence Based Plant Disease Detection -- IoT Equipped Intelligent Distributed Framework for Smart Healthcare Systems -- Adaptive Particle Swarm Optimization for Energy Minimization in Cloud: A Success History Based Approach -- Field Monitoring and Automation in Agriculture Using Internet of Things (IoT).
En: Springer Nature eBookResumen: This book discusses integration of internet of things (IoT), cloud computing, and big data. It presents a unique platform where IoT, cloud computing, and big data are fused together and can be foreseen as a perfect solution to many applications. Usually, IoT, cloud computing, and big data are researched separately on the basis of their properties, underlying technologies, and other open issues. Integration of IoT, cloud computing and big data is not that easy and can face key open issues like standardization of interfaces, power and energy efficiency in both data processing and transmission, security and privacy, storage mechanisms for future applications, scalability and flexibility, and QoS provisioning for end user applications. Integration of IoT, cloud computing, and big data represents the next big rise for future industry and business applications. This integration opens new exhilarating directions for research and it is discussed in this book.
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Acceso multiusuario

Introduction to Big Data Analytics -- DCD_PREDICT: Using Big Data on Prediction Forchest Diseases by Applying Machine Learning Algorithms -- Design of Energy Efficient IOMT Electrocardiogram (ECG) Machine on 28 Nm FPGA -- Automatic Smart Irrigation Method for Agriculture Data Artificial Intelligence Based Plant Disease Detection -- IoT Equipped Intelligent Distributed Framework for Smart Healthcare Systems -- Adaptive Particle Swarm Optimization for Energy Minimization in Cloud: A Success History Based Approach -- Field Monitoring and Automation in Agriculture Using Internet of Things (IoT).

This book discusses integration of internet of things (IoT), cloud computing, and big data. It presents a unique platform where IoT, cloud computing, and big data are fused together and can be foreseen as a perfect solution to many applications. Usually, IoT, cloud computing, and big data are researched separately on the basis of their properties, underlying technologies, and other open issues. Integration of IoT, cloud computing and big data is not that easy and can face key open issues like standardization of interfaces, power and energy efficiency in both data processing and transmission, security and privacy, storage mechanisms for future applications, scalability and flexibility, and QoS provisioning for end user applications. Integration of IoT, cloud computing, and big data represents the next big rise for future industry and business applications. This integration opens new exhilarating directions for research and it is discussed in this book.

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