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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Group Author: | ; ; |
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Published: |
Springer,
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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 |