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
Group Author: Tanwar, Sudeep; Tyagi, Sudhanshu; Kumar, Neeraj
Published: Springer,
Publisher Address: Singapore :
Publication Dates: [2020]
Literature type: Book
Language: English
Series: Intelligent systems reference library, volume 163
Subjects:
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 num
Carrier Form: xiv, 477 pages : illustrations (some color) ; 24 cm.
Bibliography: Includes bibliographical references.
ISBN: 9789811387586
9811387583
Index Number: QA76
CLC: TP311.13
TP393.4
Call Number: TP393.4/M961