Multimedia Big Data Computing for IoT Applications
Concepts, Paradigms and Solutions
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Beschreibung
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 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.
Examines the unique nature and complexity of MMBD computing for IoT applications Includes of case studies to demonstrate the process model Discusses the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD
Autor*in
Sudeep Tanwar
Themen in »Multimedia Big Data Computing for IoT Applications«
Multimedia tools & applications Multimedia data mining and analytics Data warehousing Multimedia enabled sensors in IoT Interactive multimedia documents Big data analytics Cloud computing Cognitive computing Hadoop