Sudeep Tanwar - Multimedia Big Data Computing for IoT Applications

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With an exponential increase in the provisioning of multimedia devices over the Internet of Things (IoT), a significant amount of multimedia big data has been generated from different devices located across the globe. Current proposals in the literature mainly focus on scalar sensor data with less emphasis on the streaming multimedia big data generated from different devices. This textbook examines the unique nature and complexity of MMBD computing for IoT applications and provides unique characteristics and applications divided into different chapters for MMBD over IoT. A number of research challenges are associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and quality-of-service (QoS) requirements. This textbook is the first-ever how-to guide addressing one of the most overlooked practical, methodological, and moral questions in any nations journeys to handle the massive amount of multimedia big data being generated from IoT devices interactions: For example, how to handle the complexity of facilitating MMBD over IoT? How to organize the unstructured and heterogeneous data? How to deal with cognition and understand complexity associated with MMBD? How to address the real-time and quality-of-service requirements for MMBD applications? How to ensure scalability and computing efficiency.

The book is organized into four parts. Part I is focused on technological development, which includes five chapters. Part II discussed the multimedia big data analytics, which has five chapters. Part III illustrates the societal impact of multimedia big data with well-structured four chapters. Finally, Part IV highlights the application environments for multimedia big data analytics with four chapters.

Chapter presents an introduction to the multimedia big data computing for IoT applications. This chapter addresses the gap between multimedia big data challenges in IoT and multimedia big data solutions by offering the present multimedia big data framework, their advantages and limitations of the existing techniques, and the potential applications in IoT. It also presents a comprehensive overview of the multimedia big data computing for IoT applications, fundamental challenges, and research openings for multimedia big data era.

Chapter highlights various ways to achieve energy conservation in the MMBD IoT environment. The authors have focused on the investigation of the existing technologies and mechanisms in the above domains. The authors have first presented the need for energy conservation briefly and then discuss the key points of the existing solutions for saving energy in IoT communications. At the end of the paper, the authors have summarized the findings to describe the advantages and limitations of the existing mechanisms and provide insights into possible research directions.