Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks

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Publisher : CRC Press
ISBN 13 : 1000539490
Total Pages : 300 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks by : Sanjoy Das

Download or read book Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks written by Sanjoy Das and published by CRC Press. This book was released on 2022-03-21 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna. FEATURES Covers applications of IoT in Vehicular Ad-hoc Networks (VANETs) Discusses use of machine learning and other computing techniques for enhancing performance of networks Explains game theory-based vertical handoffs in heterogeneous wireless networks Examines monitoring and surveillance of vehicles through the vehicular sensor network Investigates theoretical approaches on software-defined VANET The book is aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

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Publisher : IGI Global
ISBN 13 : 1799827666
Total Pages : 312 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks by : Rao, Ram Shringar

Download or read book Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks written by Rao, Ram Shringar and published by IGI Global. This book was released on 2020-09-11 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vehicular traffic congestion and accidents remain universal issues in today’s world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools. Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.

Recent Trends and Advances in Wireless and IoT-enabled Networks

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Publisher : Springer
ISBN 13 : 3319999664
Total Pages : 352 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Recent Trends and Advances in Wireless and IoT-enabled Networks by : Mian Ahmad Jan

Download or read book Recent Trends and Advances in Wireless and IoT-enabled Networks written by Mian Ahmad Jan and published by Springer. This book was released on 2019-01-22 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers a variety of topics in Information and Communications Technology (ICT) and their impact on innovation and business. The authors discuss various innovations, business and industrial motivations, and impact on humans and the interplay between those factors in terms of finance, demand, and competition. Topics discussed include the convergence of Machine to Machine (M2M), Internet of Things (IoT), Social, and Big Data. They also discuss AI and its integration into technologies from machine learning, predictive analytics, security software, to intelligent agents, and many more. Contributions come from academics and professionals around the world. Covers the most recent practices in ICT related topics pertaining to technological growth, innovation, and business; Presents a survey on the most recent technological areas revolutionizing how humans communicate and interact; Features four sections: IoT, Wireless Ad Hoc & Sensor Networks, Fog Computing, and Big Data Analytics.

Cloud Computing for Geospatial Big Data Analytics

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Publisher : Springer
ISBN 13 : 3030033597
Total Pages : 289 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Cloud Computing for Geospatial Big Data Analytics by : Himansu Das

Download or read book Cloud Computing for Geospatial Big Data Analytics written by Himansu Das and published by Springer. This book was released on 2018-12-11 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.

Advanced Computing and Intelligent Technologies

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Publisher : Springer Nature
ISBN 13 : 9811929807
Total Pages : 557 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Advanced Computing and Intelligent Technologies by : Rabindra Nath Shaw

Download or read book Advanced Computing and Intelligent Technologies written by Rabindra Nath Shaw and published by Springer Nature. This book was released on 2022-08-30 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers presented at International Conference on Advanced Computing and Intelligent Technologies (ICACIT 2022), held at BIHER Chennai India, during March 12–13, 2022, jointly organized by Institute of Higher Education and Research Chennai 600073, Indira Gandhi National Tribal University, Regional Campus Manipur, India, and Department of Information Engineering and Mathematics Università Di Siena, Italy. It discusses emerging topics pertaining to advanced computing, intelligent technologies and networks including AI and machine learning, data mining, big data analytics, high performance computing network performance analysis, Internet of things networks, wireless sensor networks, and others. The book offers a valuable asset for researchers from both academia and industries involved in advanced studies.

Big Data and Computational Intelligence in Networking

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Publisher : CRC Press
ISBN 13 : 1351651722
Total Pages : 673 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Big Data and Computational Intelligence in Networking by : Yulei Wu

Download or read book Big Data and Computational Intelligence in Networking written by Yulei Wu and published by CRC Press. This book was released on 2017-12-14 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.

Wireless Communication

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Publisher : CRC Press
ISBN 13 : 1000630811
Total Pages : 177 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Wireless Communication by : Prashant Ranjan

Download or read book Wireless Communication written by Prashant Ranjan and published by CRC Press. This book was released on 2022-08-10 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text will benefit readers in enhancing their understanding of the recent technologies, protocols, and challenges in various stages of development of wireless communication and networking. The text discusses the cellular concepts of 4G, 5G, and 6G along with their challenges. It covers topics related to vehicular technology, wherein vehicles communicate with the traffic and the environment around them using short-range wireless signals. The text comprehensively covers important topics including use of the Internet of Things (IoT) in wireless communication, architecture, and protocols. It further covers the role of smart antennas in emerging wireless technologies. The book Discusses advanced techniques used in the field of wireless communication. Covers technologies including network slicing, 5G wireless communication, and TV white space technology. Discusses practical applications including drone delivery systems, public safety, IoT, virtual reality, and smart cities. Covers radio theory and applications for wireless communication with ranges of centimeters to hundreds of meters. Discusses important topics including metamaterials, inductance coupling for loop antennas, bluetooth low energy, wireless security, and wireless sensor networks. Discussing latest technologies including 5G, 6G, IoT, vehicular technology and TV white space technology, this text will be useful for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering.

Wireless Communication with Artificial Intelligence

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Publisher : CRC Press
ISBN 13 : 1000645320
Total Pages : 369 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Wireless Communication with Artificial Intelligence by : Anuj Singal

Download or read book Wireless Communication with Artificial Intelligence written by Anuj Singal and published by CRC Press. This book was released on 2022-09-16 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text discusses advances in wireless communication, design challenges, and future research directions to design reliable wireless communication. The text discusses emerging technologies including wireless sensor networks, Internet of Things (IoT), cloud computing, mm-Wave, Massive MIMO, cognitive radios (CR), visible light communication (VLC), wireless optical communication, signal processing, and channel modeling. The text covers artificial intelligence-based applications in wireless communication, machine learning techniques and challenges in wireless sensor networks, and deep learning for channel and bandwidth estimation during optical wireless communication. The text will be useful for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering.

Computational Intelligent Security in Wireless Communications

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Publisher : CRC Press
ISBN 13 : 1000688992
Total Pages : 281 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Computational Intelligent Security in Wireless Communications by : Suhel Ahmed Khan

Download or read book Computational Intelligent Security in Wireless Communications written by Suhel Ahmed Khan and published by CRC Press. This book was released on 2022-09-21 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless network security research is multidisciplinary in nature, including data analysis, economics, mathematics, forensics, information technology, and computer science. This text covers cutting-edge research in computational intelligence systems from diverse fields on the complex subject of wireless communication security. It discusses important topics including computational intelligence in wireless network and communications, artificial intelligence and wireless communication security, security risk scenarios in communications, security/resilience metrics and their measurements, data analytics of cyber-crimes, modeling of wireless communication security risks, advances in cyber threats and computer crimes, adaptive and learning techniques for secure estimation and control, decision support systems, fault tolerance and diagnosis, cloud forensics and information systems, and intelligent information retrieval. The book- Discusses computational algorithms for system modeling and optimization in security perspective. Focuses on error prediction and fault diagnosis through intelligent information retrieval via wireless technologies. Explores a group of practical research problems where security experts can help develop new data-driven methodologies. Covers application on artificial intelligence and wireless communication security risk perspective The text is primarily written for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. The text comprehensively discusses wide range of wireless communication techniques with emerging computational intelligent trends, to help readers understand the role of wireless technologies in applications touching various spheres of human life with the help of hesitant fuzzy sets based computational modeling. It will be a valuable resource for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

Artificial Intelligence in Cyber-Physical Systems

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Publisher : CRC Press
ISBN 13 : 1000845486
Total Pages : 333 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Artificial Intelligence in Cyber-Physical Systems by : Anil Kumar Sagar

Download or read book Artificial Intelligence in Cyber-Physical Systems written by Anil Kumar Sagar and published by CRC Press. This book was released on 2023-03-16 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) and the Internet of Things (IoT) are growing rapidly in today’s business world. In today's era, 25 billion devices, including machines, sensors, and cameras, are connected and continue to grow steadily. It is assumed that in 2025, 41.6 billion IoT devices will be connected, generating around 79.4 zettabytes of data. IoT and AI are intersecting in various scenarios. IoT-enabled devices are generating a huge amount of data, and with the help of AI, this data is used to build various intelligent models. These intelligent models are helpful in our daily lives and make the world smarter. Artificial Intelligence in Cyber Physical Systems: Principles and Applications addresses issues related to system safety, security, reliability, and deployment strategies in healthcare, military, transportation, energy, infrastructure, smart homes, and smart cities.

Smart Cities

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Publisher : CRC Press
ISBN 13 : 1000583503
Total Pages : 289 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Smart Cities by : Krishna Kumar

Download or read book Smart Cities written by Krishna Kumar and published by CRC Press. This book was released on 2022-05-03 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the various aspects of smart cities and their architecture along with the application of the latest technologies, including the Internet of Things (IoT) and artificial intelligence (AI). The concept of smart cities, their development, technological advancements, and issues related to them are discussed in detail. Smart Cities: Concepts, Practices, and Applications covers numerous topics, including energy utilities and the role of renewable energy for sustainable development, intelligent transport systems, traffic management, sewage and waste management, the impact of smart city development on the social and economic aspects of life, flexible communication technologies utilized in the development of smart cities, e-governance challenges, and implementation in smart cities. FEATURES Discusses the basic architecture of a smart city and its development concept Covers the application of IoT and AI in the development of smart cities Examines the impact of smart city development on social and economic aspects Presents comprehensively intelligent transport systems and traffic management This book will be useful for senior undergraduate and graduate students and professionals in electrical engineering, electronics and communication engineering, computer science, and civil engineering.

Advances in Big Data and Cloud Computing

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Publisher : Springer
ISBN 13 : 9811072000
Total Pages : 402 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Advances in Big Data and Cloud Computing by : Elijah Blessing Rajsingh

Download or read book Advances in Big Data and Cloud Computing written by Elijah Blessing Rajsingh and published by Springer. This book was released on 2018-04-06 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. Primarily focusing on the application of knowledge that promotes ideas for solving the problems of the society through cutting-edge technologies, it provides novel ideas that further world-class research and development. This concise compilation of articles approved by a panel of expert reviewers is an invaluable resource for researchers in the area of advanced engineering sciences.

Big Data Analytics for Sustainable Computing

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Publisher : IGI Global
ISBN 13 : 1522597522
Total Pages : 263 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Big Data Analytics for Sustainable Computing by : Haldorai, Anandakumar

Download or read book Big Data Analytics for Sustainable Computing written by Haldorai, Anandakumar and published by IGI Global. This book was released on 2019-09-20 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Big-Data Analytics for Cloud, IoT and Cognitive Computing

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Publisher : John Wiley & Sons
ISBN 13 : 1119247020
Total Pages : 428 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Big-Data Analytics for Cloud, IoT and Cognitive Computing by : Kai Hwang

Download or read book Big-Data Analytics for Cloud, IoT and Cognitive Computing written by Kai Hwang and published by John Wiley & Sons. This book was released on 2017-08-14 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Internet of Things and Sensors Networks in 5G Wireless Communications

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Publisher : MDPI
ISBN 13 : 3039281488
Total Pages : 222 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Internet of Things and Sensors Networks in 5G Wireless Communications by : Lei Zhang

Download or read book Internet of Things and Sensors Networks in 5G Wireless Communications written by Lei Zhang and published by MDPI. This book was released on 2020-01-24 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things (IoT) has attracted much attention from society, industry and academia as a promising technology that can enhance day to day activities, and the creation of new business models, products and services, and serve as a broad source of research topics and ideas. A future digital society is envisioned, composed of numerous wireless connected sensors and devices. Driven by huge demand, the massive IoT (mIoT) or massive machine type communication (mMTC) has been identified as one of the three main communication scenarios for 5G. In addition to connectivity, computing and storage and data management are also long-standing issues for low-cost devices and sensors. The book is a collection of outstanding technical research and industrial papers covering new research results, with a wide range of features within the 5G-and-beyond framework. It provides a range of discussions of the major research challenges and achievements within this topic.

Big-Data Analytics and Cloud Computing

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Publisher : Springer
ISBN 13 : 3319253131
Total Pages : 178 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Big-Data Analytics and Cloud Computing by : Marcello Trovati

Download or read book Big-Data Analytics and Cloud Computing written by Marcello Trovati and published by Springer. This book was released on 2016-01-12 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.

Cloud Networking for Big Data

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Publisher : Springer
ISBN 13 : 3319247204
Total Pages : 114 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Cloud Networking for Big Data by : Deze Zeng

Download or read book Cloud Networking for Big Data written by Deze Zeng and published by Springer. This book was released on 2015-12-09 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces two basic big data processing paradigms for batch data and streaming data. Representative programming frameworks are also presented, as well as software defined networking (SDN) and network function virtualization (NFV) technologies as key cloud networking technologies. The authors illustrate that SDN and NFV can be applied to benefit the big data processing by proposing a cloud networking framework. Based on the framework, two case studies examine how to improve the cost efficiency of big data processing. Cloud Networking for Big Data targets professionals and researchers working in big data, networks, wireless communications and information technology. Advanced-level students studying computer science and electrical engineering will also find this book valuable as a study guide.