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Fog Computing, Deep Learning and Big Data Analytics-Research Directions, C.S.R. Prabhu


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Ориентировочная дата поставки: Август-начало Сентября
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Автор: C.S.R. Prabhu
Название:  Fog Computing, Deep Learning and Big Data Analytics-Research Directions
ISBN: 9789811332081
Издательство: Springer
Классификация:







ISBN-10: 9811332088
Обложка/Формат: Hardcover
Страницы: 71
Вес: 0.31 кг.
Дата издания: 2019
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 10 tables, color; 1 illustrations, color; 4 illustrations, black and white; xiii, 71 p. 5 illus., 1 illus. in color.
Размер: 234 x 156 x 6
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
This book provides a comprehensive picture of fog computing technology, including of fog architectures, latency aware application management issues with real time requirements, security and privacy issues and fog analytics, in wide ranging application scenarios such as M2M device communication, smart homes, smart vehicles, augmented reality and transportation management.
This book explores the research issues involved in the application of traditional shallow machine learning and deep learning techniques to big data analytics. It surveys global research advances in extending the conventional unsupervised or clustering algorithms, extending supervised and semi-supervised algorithms and association rule mining algorithms to big data Scenarios. Further it discusses the deep learning applications of big data analytics to fields of computer vision and speech processing, and describes applications such as semantic indexing and data tagging. Lastly it identifies 25 unsolved research problems and research directions in fog computing, as well as in the context of applying deep learning techniques to big data analytics, such as dimensionality reduction in high-dimensional data and improved formulation of data abstractions along with possible directions for their solutions.

Дополнительное описание: Introduction.- Fog Application management.- Fog Analytics.- Fog Security and Privary.- Research Directions.- Conclusion.


Pervasive Computing: A Networking Perspective and Future Directions

Автор: Deepshikha Bhargava; Sonali Vyas
Название: Pervasive Computing: A Networking Perspective and Future Directions
ISBN: 9811334617 ISBN-13(EAN): 9789811334610
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book offers an accessible guide to ubiquitous computing, with an emphasis on pervasive networking. It addresses various technical obstacles, such as connectivity, levels of service, performance, reliability and fairness. The focus is on describing currently available off-the-shelf technologies, novel algorithms and techniques in areas such as: underwater sensor networks, ant colony based routing, heterogeneous networks, agent based distributed networks, cognitive radio networks, real-time WSN applications, machine translation, intelligent computing and ontology based bit masking.By introducing the core topics and exploring assistive pervasive systems that draw on pervasive networking, the book provides readers with a robust foundation of knowledge on this growing field of research. Written in a straightforward style, the book is also accessible to a broad audience of researchers and designers who are interested in exploring pervasive computing further.

Advancing Consumer-Centric Fog Computing Architectures

Автор: Kashif Munir
Название: Advancing Consumer-Centric Fog Computing Architectures
ISBN: 1522571493 ISBN-13(EAN): 9781522571490
Издательство: Mare Nostrum (Eurospan)
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Цена: 204210.00 T
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Описание: Due to a rapidly growing number of devices and communications, cloud computing has begun to fall behind on its ability to adequately process today’s technology. Additionally, companies have begun to look for solutions that would help reduce their infrastructure costs and improve profitability. Fog computing, a paradigm that extends cloud computing and services to the edge of the network, has presented itself as a viable solution and cost-saving method. However, before businesses can implement this new method, concerns regarding its security, privacy, availability, and data protection must be addressed.Advancing Consumer-Centric Fog Computing Architectures is a collection of innovative research on the methods and applications of fog computing in technological, business, and organizational dimensions. Thoroughly examining fog computing with respect to issues of management, trust and privacy, governance, and interoperability, this publication highlights a range of topics including access control mechanism, data confidentiality, and service-oriented architecture. This book is ideally designed for academicians, researchers, software developers, IT professionals, policymakers, technology designers, graduate-level students, managers, and business owners.

Fog Computing in the Internet of Things

Автор: Amir M. Rahmani; Pasi Liljeberg; J?rgo-S?ren Prede
Название: Fog Computing in the Internet of Things
ISBN: 3319862146 ISBN-13(EAN): 9783319862149
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book describes state-of-the-art approaches to Fog Computing, including the background of innovations achieved in recent years. Coverage includes various aspects of fog computing architectures for Internet of Things, driving reasons, variations and case studies. The authors discuss in detail key topics, such as meeting low latency and real-time requirements of applications, interoperability, federation and heterogeneous computing, energy efficiency and mobility, fog and cloud interplay, geo-distribution and location awareness, and case studies in healthcare and smart space applications.

Fog Computing in the Internet of Things

Автор: Amir M. Rahmani; Pasi Liljeberg; J?rgo-S?ren Prede
Название: Fog Computing in the Internet of Things
ISBN: 3319576380 ISBN-13(EAN): 9783319576381
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book describes state-of-the-art approaches to Fog Computing, including the background of innovations achieved in recent years.

Fog Computing

Автор: Mahmood
Название: Fog Computing
ISBN: 331994889X ISBN-13(EAN): 9783319948898
Издательство: Springer
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Цена: 93160.00 T
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Описание: This authoritative text/reference describes the state of the art of fog computing, presenting insights from an international selection of renowned experts. A particular focus is provided on development approaches, architectural mechanisms, and measurement metrics for building smart adaptable environments. The coverage also includes important related topics such as device connectivity, security and interoperability, and communication methods.Topics and features: introduces the core concepts and principles of fog computing, and reviews the latest research and best practice relating to fog/edge environments; discusses the vision for an Internet of Things (IoT) in terms of fog computing and other related distributed computing paradigms, such as cloud computing; presents a survey of the key issues and broader aspects of the fog paradigm, as well as the factors that affect adoption of fog computing; examines frameworks and methodologies for fog-based architecture design, improving performance, and measuring quality of experience; proposes tools and methodologies for analyzing large amounts of sensor data from smart city initiatives; describes approaches for designing robust services, management of data-intensive applications, context-aware data analysis, and vehicular networking; identifies potential future research directions and technological innovations in relation to distributed computing environments such as the IoT.This enlightening volume offers essential perspectives for researchers of distributed computing and computer networking, as well as for advanced undergraduate and graduate students pursuing interests in this area. Professional engineers seeking to enhance security and connectivity in their IoT systems will also find this work to be a valuable reference.

Cloud Computing for Geospatial Big Data Analytics

Автор: Himansu Das; Rabindra K. Barik; Harishchandra Dube
Название: Cloud Computing for Geospatial Big Data Analytics
ISBN: 3030033589 ISBN-13(EAN): 9783030033583
Издательство: Springer
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Цена: 158380.00 T
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Описание: 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.

Strategic engineering for cloud computing and big data analytics

Название: Strategic engineering for cloud computing and big data analytics
ISBN: 3319524909 ISBN-13(EAN): 9783319524900
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems.

New Directions in Rough Sets, Data Mining, and Granular-Soft Computing

Автор: Ning Zhong; Setsuo Ohsuga
Название: New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
ISBN: 3540666451 ISBN-13(EAN): 9783540666455
Издательство: Springer
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Цена: 97820.00 T
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Описание: The proceedings of the 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing (RSFDGrC `99). Topics covered include information granulation and granular computing, data mining and knowledge discovery, machine learning, and intelligent agents and systems.

Soft Computing in Data Analytics

Автор: Janmenjoy Nayak; Ajith Abraham; B. Murali Krishna;
Название: Soft Computing in Data Analytics
ISBN: 9811305137 ISBN-13(EAN): 9789811305139
Издательство: Springer
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Цена: 186330.00 T
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Описание: The volume contains original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different fields of soft and advance computing. It provides insights into the International Conference on Soft Computing in Data Analytics (SCDA). It also concentrates on both theory and practices from around the world in all the areas of related disciplines of soft computing. The book provides rapid dissemination of important results in soft computing technologies, a fusion of research in fuzzy logic, evolutionary computations, neural science and neural network systems and chaos theory and chaotic systems, swarm based algorithms, etc. The book aims to cater the postgraduate students and researchers working in the discipline of computer science and engineering along with other engineering branches.

Deep Learning: Convergence to Big Data Analytics

Автор: Murad Khan; Bilal Jan; Haleem Farman
Название: Deep Learning: Convergence to Big Data Analytics
ISBN: 9811334587 ISBN-13(EAN): 9789811334580
Издательство: Springer
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Цена: 51230.00 T
Наличие на складе: Поставка под заказ.
Описание:

This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tools used to analyze big data in real-time, such as Hadoop, SPARK, and GRAPHX. Big data analytics using traditional techniques face various challenges, such as fast, accurate and efficient processing of big data in real-time. In addition, the Internet of Things is progressively increasing in various fields, like smart cities, smart homes, and e-health. As the enormous number of connected devices generate huge amounts of data every day, we need sophisticated algorithms to deal, organize, and classify this data in less processing time and space. Similarly, existing techniques and algorithms for deep learning in big data field have several advantages thanks to the two main branches of the deep learning, i.e. convolution and deep belief networks. This book offers insights into these techniques and applications based on these two types of deep learning.Further, it helps students, researchers, and newcomers understand big data analytics based on deep learning approaches. It also discusses various machine learning techniques in concatenation with the deep learning paradigm to support high-end data processing, data classifications, and real-time data processing issues. The classification and presentation are kept quite simple to help the readers and students grasp the basics concepts of various deep learning paradigms and frameworks. It mainly focuses on theory rather than the mathematical background of the deep learning concepts. The book consists of 5 chapters, beginning with an introductory explanation of big data and deep learning techniques, followed by integration of big data and deep learning techniques and lastly the future directions.

Future Directions in Distributed Computing

Автор: Andr? Schiper; Alex A. Shvartsman; Hakim Weathersp
Название: Future Directions in Distributed Computing
ISBN: 3540009124 ISBN-13(EAN): 9783540009122
Издательство: Springer
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Цена: 65210.00 T
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Innovative Research and Applications in Next-Generation High Performance Computing

Автор: Hassan Qusay F.
Название: Innovative Research and Applications in Next-Generation High Performance Computing
ISBN: 1522502874 ISBN-13(EAN): 9781522502876
Издательство: Mare Nostrum (Eurospan)
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Цена: 199590.00 T
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Описание: High-performance computing (HPC) describes the use of connected computing units to perform complex tasks. It relies on parallelization techniques and algorithms to synchronize these disparate units in order to perform faster than a single processor could, alone. Used in industries from medicine and research to military and higher education, this method of computing allows for users to complete complex data-intensive tasks. This field has undergone many changes over the past decade, and will continue to grow in popularity in the coming years.Innovative Research Applications in Next-Generation High Performance Computing aims to address the future challenges, advances, and applications of HPC and related technologies. As the need for such processors increases, so does the importance of developing new ways to optimize the performance of these supercomputers. This timely publication provides comprehensive information for researchers, students in ICT, program developers, military and government organizations, and business professionals.


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