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Towards the integration of IoT, cloud and big dataservices, applications and standards /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Towards the integration of IoT, cloud and big dataedited by Vinay Rishiwal ... [et al.].
Reminder of title:	services, applications and standards /
other author:	Rishiwal, Vinay.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xii, 154 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Internet of things.
Online resource:	https://doi.org/10.1007/978-981-99-6034-7
ISBN:	9789819960347$q(electronic bk.)

Towards the integration of IoT, cloud and big dataservices, applications and standards /
Towards the integration of IoT, cloud and big dataservices, applications and standards /[electronic resource] :edited by Vinay Rishiwal ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xii, 154 p. :ill., digital ;24 cm. - Studies in big data,v. 1372197-6511 ;. - Studies in big data ;v.1..

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.

ISBN: 9789819960347$q(electronic bk.)

Standard No.: 10.1007/978-981-99-6034-7doiSubjects--Topical Terms:

670954
Internet of things.

LC Class. No.: TK5105.8857 / .T68 2023

Dewey Class. No.: 004.678

Towards the integration of IoT, cloud and big dataservices, applications and standards /
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505 0 $a 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)
520 $a 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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