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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.
This is a digital product.
Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions is written by Author and published by Springer. The Digital and eTextbook ISBNs for Multimedia Big Data Computing for IoT Applications are 9789811387593, 9811387591 and the print ISBNs are 9789811387586, 9811387583.

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