Multimedia Big Data Computing For Iot Applications

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Multimedia Big Data Computing for IoT Applications

Sudeep Tanwar,Sudhanshu Tyagi,Neeraj Kumar
Multimedia Big Data Computing for IoT Applications Book PDF

Author : Sudeep Tanwar,Sudhanshu Tyagi,Neeraj Kumar
Publisher : Springer
Page : 477 pages
File Size : 50,6 Mb
Release : 2019-07-17
Category : Technology & Engineering
ISBN : 9789811387593

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Multimedia Big Data Computing for IoT Applications by Sudeep Tanwar,Sudhanshu Tyagi,Neeraj Kumar Pdf

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.

Fog Data Analytics for IoT Applications

Sudeep Tanwar
Fog Data Analytics for IoT Applications Book PDF

Author : Sudeep Tanwar
Publisher : Springer Nature
Page : 501 pages
File Size : 45,8 Mb
Release : 2020-08-25
Category : Technology & Engineering
ISBN : 9789811560446

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Fog Data Analytics for IoT Applications by Sudeep Tanwar Pdf

This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDA in IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy.

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Kai Hwang,Min Chen
Big Data Analytics for Cloud IoT and Cognitive Computing Book PDF

Author : Kai Hwang,Min Chen
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 52,5 Mb
Release : 2017-03-13
Category : Computers
ISBN : 9781119247043

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Big-Data Analytics for Cloud, IoT and Cognitive Computing by Kai Hwang,Min Chen Pdf

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

Multimedia Technologies in the Internet of Things Environment, Volume 2

Raghvendra Kumar,Rohit Sharma,Prasant Kumar Pattnaik
Multimedia Technologies in the Internet of Things Environment Volume 2 Book PDF

Author : Raghvendra Kumar,Rohit Sharma,Prasant Kumar Pattnaik
Publisher : Springer Nature
Page : 242 pages
File Size : 42,5 Mb
Release : 2021-07-29
Category : Technology & Engineering
ISBN : 9789811638282

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Multimedia Technologies in the Internet of Things Environment, Volume 2 by Raghvendra Kumar,Rohit Sharma,Prasant Kumar Pattnaik Pdf

This book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications. This is a second volume by editors which provides theoretical and practical approach in the area of multimedia and IOT applications and performance analysis. Further, multimedia communication, deep learning models to multimedia data, and the new (IOT) approaches are also covered. It addresses the complete functional framework in the area of multimedia data, IoT, and smart computing techniques. It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics.

Multimedia Technologies in the Internet of Things Environment

Raghvendra Kumar,Rohit Sharma,Prasant Kumar Pattnaik
Multimedia Technologies in the Internet of Things Environment Book PDF

Author : Raghvendra Kumar,Rohit Sharma,Prasant Kumar Pattnaik
Publisher : Springer
Page : 208 pages
File Size : 51,6 Mb
Release : 2020-12-19
Category : Technology & Engineering
ISBN : 9811579644

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Multimedia Technologies in the Internet of Things Environment by Raghvendra Kumar,Rohit Sharma,Prasant Kumar Pattnaik Pdf

This book provides theoretical and practical approach in the area of multimedia and IOT applications and performance analysis. Further, multimedia communication, deep learning models to multimedia data and the new (IOT) approaches are also covered. It addresses the complete functional framework in the area of multimedia data, IOT and smart computing techniques. The book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IOT applications. It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics.

Big Data, IoT, and Machine Learning

Rashmi Agrawal,Marcin Paprzycki,Neha Gupta
Big Data IoT and Machine Learning Book PDF

Author : Rashmi Agrawal,Marcin Paprzycki,Neha Gupta
Publisher : CRC Press
Page : 319 pages
File Size : 55,7 Mb
Release : 2020-09-01
Category : Computers
ISBN : 9781000098280

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Big Data, IoT, and Machine Learning by Rashmi Agrawal,Marcin Paprzycki,Neha Gupta Pdf

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them. Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases

Multimedia Technologies in the Internet of Things Environment, Volume 3

Raghvendra Kumar,Rohit Sharma,Prasant Kumar Pattnaik
Multimedia Technologies in the Internet of Things Environment Volume 3 Book PDF

Author : Raghvendra Kumar,Rohit Sharma,Prasant Kumar Pattnaik
Publisher : Springer Nature
Page : 237 pages
File Size : 40,9 Mb
Release : 2022-04-04
Category : Technology & Engineering
ISBN : 9789811909245

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Multimedia Technologies in the Internet of Things Environment, Volume 3 by Raghvendra Kumar,Rohit Sharma,Prasant Kumar Pattnaik Pdf

This book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications. This is a third volume by editors which provides theoretical and practical approach in the area of multimedia and IOT applications and performance analysis. Further, multimedia communication, deep learning models to multimedia data, and the new (IOT) approaches are also covered. It addresses the complete functional framework in the area of multimedia data, IoT, and smart computing techniques. It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics.

Big Data Analytics for Large-Scale Multimedia Search

Stefanos Vrochidis,Benoit Huet,Edward Y. Chang,Ioannis Kompatsiaris
Big Data Analytics for Large Scale Multimedia Search Book PDF

Author : Stefanos Vrochidis,Benoit Huet,Edward Y. Chang,Ioannis Kompatsiaris
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 48,6 Mb
Release : 2019-05-28
Category : Technology & Engineering
ISBN : 9781119376972

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Big Data Analytics for Large-Scale Multimedia Search by Stefanos Vrochidis,Benoit Huet,Edward Y. Chang,Ioannis Kompatsiaris Pdf

A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Arun Kumar Sangaiah,Zhiyong Zhang,Michael Sheng
Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications Book PDF

Author : Arun Kumar Sangaiah,Zhiyong Zhang,Michael Sheng
Publisher : Academic Press
Page : 362 pages
File Size : 43,8 Mb
Release : 2018-08-21
Category : Technology & Engineering
ISBN : 9780128133279

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Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications by Arun Kumar Sangaiah,Zhiyong Zhang,Michael Sheng Pdf

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful. Presents a brief overview of computational intelligence paradigms and its significant role in application domains Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing Provides new advances in the fields of CI for bio-engineering application

Big Data, Cloud Computing and IoT

Sita Rani,Pankaj Bhambri,Aman Kataria,Alex Khang,Arun Kumar Sivaraman
Big Data Cloud Computing and IoT Book PDF

Author : Sita Rani,Pankaj Bhambri,Aman Kataria,Alex Khang,Arun Kumar Sivaraman
Publisher : CRC Press
Page : 259 pages
File Size : 41,7 Mb
Release : 2023-04-19
Category : Computers
ISBN : 9781000862362

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Big Data, Cloud Computing and IoT by Sita Rani,Pankaj Bhambri,Aman Kataria,Alex Khang,Arun Kumar Sivaraman Pdf

Cloud computing, the Internet of Things (IoT), and big data are three significant technological trends affecting the world's largest corporations. This book discusses big data, cloud computing, and the IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications pertinent to these disciplines. Also, big data, cloud computing, and the IoT are proposed as possible study avenues. Features: Informs about cloud computing, IoT and big data, including theoretical foundations and the most recent empirical findings Provides essential research on the relationship between various technologies and the aggregate influence they have on solving real-world problems Ideal for academicians, developers, researchers, computer scientists, practitioners, information technology professionals, students, scholars, and engineers exploring research on the incorporation of technological innovations to address contemporary societal challenges

Multimedia Streaming in SDN/NFV and 5G Networks

Alcardo Barakabitze,Andrew Hines
Multimedia Streaming in SDN NFV and 5G Networks Book PDF

Author : Alcardo Barakabitze,Andrew Hines
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 54,8 Mb
Release : 2022-12-20
Category : Technology & Engineering
ISBN : 9781119800798

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Multimedia Streaming in SDN/NFV and 5G Networks by Alcardo Barakabitze,Andrew Hines Pdf

Multimedia Streaming in SDN/NFV and 5G Networks A comprehensive overview of Quality of Experience control and management of multimedia services in future networks In Multimedia Streaming in SDN/NFV and 5G Networks, renowned researchers deliver a high-level exploration of Quality of Experience (QoE) control and management solutions for multimedia services in future softwarized and virtualized 5G networks. The book offers coverage of network softwarization and virtualization technologies, including SDN, NFV, MEC, and Fog/Cloud Computing, as critical elements for the management of multimedia services in future networks, like 5G and 6G networks and beyond. Providing a fulsome examination of end-to-end QoE control and management solutions in softwarized and virtualized networks, the book concludes with discussions of probable future challenges and research directions in emerging multimedia services and applications, 5G network management and orchestration, network slicing and collaborative service management of multimedia services in softwarized networks, and QoE-oriented business models. The distinguished authors also explore: Thorough introductions to 5G networks, including definitions and requirements, as well as Quality of Experience management of multimedia streaming services Comprehensive explorations of multimedia streaming services over the internet and network softwarization and virtualization in future networks Practical discussions of QoE management using SDN and NFV in future networks, as well as QoE management of multimedia services in emerging architectures, including MEC, ICN, and Fog/Cloud Computing In-depth examinations of QoE in emerging applications, 5G network slicing architectures and implementations, and 5G network slicing orchestration and resource management Perfect for researchers and engineers in multimedia services and telecoms, Multimedia Streaming in SDN/NFV and 5G Networks will also earn a place in the libraries of graduate and senior undergraduate students with interests in computer science, communication engineering, and telecommunication systems.

Towards the Integration of IoT, Cloud and Big Data

Vinay Rishiwal,Pramod Kumar,Anuradha Tomar,Priyan Malarvizhi Kumar
Towards the Integration of IoT Cloud and Big Data Book PDF

Author : Vinay Rishiwal,Pramod Kumar,Anuradha Tomar,Priyan Malarvizhi Kumar
Publisher : Springer Nature
Page : 164 pages
File Size : 51,5 Mb
Release : 2023-10-23
Category : Technology & Engineering
ISBN : 9789819960347

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Towards the Integration of IoT, Cloud and Big Data by Vinay Rishiwal,Pramod Kumar,Anuradha Tomar,Priyan Malarvizhi Kumar Pdf

This book discusses integration of internet of things (IoT), cloud computing, and big data. It presents a unique platform where IoT, cloud computing, and big data are fused together and can be foreseen as a perfect solution to many applications. Usually, IoT, cloud computing, and big data are researched separately on the basis of their properties, underlying technologies, and other open issues. Integration of IoT, cloud computing and big data is not that easy and can face key open issues like standardization of interfaces, power and energy efficiency in both data processing and transmission, security and privacy, storage mechanisms for future applications, scalability and flexibility, and QoS provisioning for end user applications. Integration of IoT, cloud computing, and big data represents the next big rise for future industry and business applications. This integration opens new exhilarating directions for research and it is discussed in this book.

Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics

Taser, Pelin Yildirim
Emerging Trends in IoT and Integration with Data Science Cloud Computing and Big Data Analytics Book PDF

Author : Taser, Pelin Yildirim
Publisher : IGI Global
Page : 334 pages
File Size : 42,9 Mb
Release : 2021-11-05
Category : Computers
ISBN : 9781799841876

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Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics by Taser, Pelin Yildirim Pdf

The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

Big Data Analytics for Internet of Things

Tausifa Jan Saleem,Mohammad Ahsan Chishti
Big Data Analytics for Internet of Things Book PDF

Author : Tausifa Jan Saleem,Mohammad Ahsan Chishti
Publisher : John Wiley & Sons
Page : 402 pages
File Size : 42,5 Mb
Release : 2021-03-29
Category : Mathematics
ISBN : 9781119740773

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Big Data Analytics for Internet of Things by Tausifa Jan Saleem,Mohammad Ahsan Chishti Pdf

BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.

Cognitive Computing for Big Data Systems Over IoT

Arun Kumar Sangaiah,Arunkumar Thangavelu,Venkatesan Meenakshi Sundaram
Cognitive Computing for Big Data Systems Over IoT Book PDF

Author : Arun Kumar Sangaiah,Arunkumar Thangavelu,Venkatesan Meenakshi Sundaram
Publisher : Springer
Page : 375 pages
File Size : 48,5 Mb
Release : 2017-12-30
Category : Technology & Engineering
ISBN : 9783319706887

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Cognitive Computing for Big Data Systems Over IoT by Arun Kumar Sangaiah,Arunkumar Thangavelu,Venkatesan Meenakshi Sundaram Pdf

This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.