Multimedia Big Data Computing for IoT Applications : Concepts, Paradigms and Solutions /

This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, re...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Tanwar, Sudeep (Editor), Tyagi, Sudhanshu (Editor), Kumar, Neeraj (Editor)
Format:	eBook
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Series:	Intelligent Systems Reference Library, 163
Subjects:	Computational intelligence. Computer security. Big data. Multimedia information systems. Application software. Computational Intelligence. Systems and Data Security. Big Data. Multimedia Information Systems. Information Systems Applications (incl. Internet). Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms.
Physical Description:	1 online resource (XIV, 477 pages 191 illustrations, 121 illustrations in color.)
ISBN:	9789811387593
ISSN:	1868-4408 ;
DOI:	10.1007/978-981-13-8759-3