Real-Time Data Analytics for Large Scale Sensor Data /

Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics....

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Bibliographic Details
Main Authors: Das, Himansu, editor 648656, Dey, Nilanjan, 1984-, editor 611303, Balas, Valentina Emilia, editor 635809, ScienceDirect (Online service) 7722
Format: software, multimedia
Language:eng
Published: London, United Kingdom : Academic Press, an imprint of Elsevier, 2019
Subjects:
Online Access:https://www.sciencedirect.com/science/book/9780128180143
Description
Summary:Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more.