Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

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Éditeur :

Springer


Collection :

Studies in Big Data

Paru le : 2017-08-14

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Description

This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. 
Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. 
Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions.
The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies. 
Pages
549 pages
Collection
Studies in Big Data
Parution
2017-08-14
Marque
Springer
EAN papier
9783319604343
EAN PDF
9783319604350

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
54
Taille du fichier
15944 Ko
Prix
252,14 €
EAN EPUB
9783319604350

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
54
Taille du fichier
12677 Ko
Prix
252,14 €