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Fog Computing in the Internet of Things, Amir M. Rahmani; Pasi Liljeberg; J?rgo-S?ren Prede


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Автор: Amir M. Rahmani; Pasi Liljeberg; J?rgo-S?ren Prede
Название:  Fog Computing in the Internet of Things
ISBN: 9783319862149
Издательство: Springer
Классификация:




ISBN-10: 3319862146
Обложка/Формат: Soft cover
Страницы: 172
Вес: 0.29 кг.
Дата издания: 2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: 50 tables, color; 49 illustrations, color; 11 illustrations, black and white; vi, 172 p. 60 illus., 49 illus. in color.
Размер: 234 x 156 x 10
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Intelligence at the Edge
Ссылка на Издательство: Link
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Поставляется из: Германии
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.
Дополнительное описание: Part I. Introduction on Fog Computing.- Chapter 1.Fog Computing Fundamentals in The Internet-of-Things.- Part II. Management at the Fog layer.- Chapter 2. Fog Computing Dynamic Resource Estimation for Internet-of-Things.- Chapter 3. Tackling Ultra Large S


Fog-Enabled Intelligent IoT Systems

Автор: Yang Yang; Xiliang Luo; Xiaoli Chu; Ming-Tuo Zhou
Название: Fog-Enabled Intelligent IoT Systems
ISBN: 3030231844 ISBN-13(EAN): 9783030231842
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill the challenging requirements of enabling computing services anywhere along the cloud-to-thing continuum. Further, in order to make IoT systems more intelligent and more efficient, a fog-enabled service architecture is proposed to address the latency requirements, bandwidth limitations, and computing power issues in realistic cross-domain application scenarios with limited priori domain knowledge, i.e. physical laws, system statuses, operation principles and execution rules. Based on this fog-enabled architecture, a series of data-driven self-learning applications in different industrial sectors and public services are investigated and discussed, such as robot SLAM and formation control, wireless network self-optimization, intelligent transportation system, smart home and user behavior recognition. Finally, the advantages and future directions of fog-enabled intelligent IoT systems are summarized.

Provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public servicesPresents a fog-enabled service architecture with detailed technical approaches for realistic cross-domain application scenarios with limited prior domain knowledgeOutlines a series of data-driven self-learning applications (with new algorithms) in different industrial sectors and public services

Advances on P2P, Parallel, Grid, Cloud and Internet Computing

Автор: Xhafa
Название: Advances on P2P, Parallel, Grid, Cloud and Internet Computing
ISBN: 3319491083 ISBN-13(EAN): 9783319491080
Издательство: Springer
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Цена: 260870.00 T
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Описание: P2P, Grid, Cloud and Internet computing technologies have been very fast established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources at large scale. The aim of this volume is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to P2P, Grid, Cloud and Internet computing as well as to reveal synergies among such large scale computing paradigms. This proceedings volume presents the results of the 11th International Conference on P2P, Parallel, Grid, Cloud And Internet Computing (3PGCIC-2016), held November 5-7, 2016, at Soonchunhyang University, Asan, Korea

Cooperative Internet Computing

Автор: Alvin T. S. Chan; Stephen Chan; Hong Va Leong; Vin
Название: Cooperative Internet Computing
ISBN: 1461350751 ISBN-13(EAN): 9781461350750
Издательство: Springer
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Цена: 139750.00 T
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Описание: The Second International Workshop on Cooperative Internet Computing (CIC2002) has brought together researchers, academics, and industry practitioners who are involved and interested in the development of advanced and emerging cooperative computing technologies.

Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems, Ovidiu Vermesan Editor, Peter Friess Editor,

Название: Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems, Ovidiu Vermesan Editor, Peter Friess Editor,
ISBN: 8792982735 ISBN-13(EAN): 9788792982735
Издательство: Taylor&Francis
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Цена: 122490.00 T
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Описание: The book aims to provide a broad overview of various topics of the Internet of Things (IoT) from the research and development priorities to enabling technologies, architecture, security, privacy, interoperability and industrial applications. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC ? Internet of Things European Research Cluster from technology to international cooperation and the global ""state of play"". The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level.Today we see the integration of Industrial, Business and Consumer Internet which is bringing together the Internet of People, Internet of Things, Internet of Energy, Internet of Vehicles, Internet of Media, Services and Enterprises in forming the backbone of the digital economy, the digital society and the foundation for the future knowledge and innovation based economy in supporting solutions for the emerging challenges of public health, aging population, environmental protection and climate change, the conservation of energy and scarce materials, enhancements to safety and security and the continuation and growth of economic prosperity.Penetration of smartphones and advances in machine to machine and wireless communication technology will be the main drivers for IoT development. The IoT contribution is in the increased value of information created by the number of interconnections among things and the transformation of the processed information into knowledge shared into the Internet of Everything. The connected devices are part of ecosystems connecting people, processes, data, and things which are communicating in the cloud using the increased storage and computing power and pushing for standardization of communication and metadata. In this context the next generation of the Cloud technologies will need to be flexible enough to scale autonomously, adaptive enough to handle constantly changing connections and resilient enough to stand up to the huge flows in data that will occur. For 2025 analysts forecast that there will be six devices per human on the planet, which means 50 billion more connected devices over the next 12 years. The Internet of Things market is connected to this devices growth from industrial machine to machine (M2M) systems, smart meters and wireless sensors. Enabling technologies such as nanoelectronics, MEMS, embedded systems, intelligent device management, smart phones, telematics, smart network infrastructure, cloud computing and software technologies will create new products, new services, new interfaces by creating smart environments and smart spaces with applications ranging from Smart Cities, smart transport, buildings, energy, grid, to smart health and life. Technical topics discussed in the book include:IntroductionInternet of Things in a wider context: Time for convergence.Internet of Things Strategic Research AgendaInterconnection and Integration of the Physical World into the Digital WorldScalable Architectures for IoT ApplicationsIoT standardisation requirements and initiatives. Standardisation and Innovation.Service Openness and InteroperabilitySoftware define and virtualization of network resourcesMobile devices enable IoT evolution fro m industrial applications to mass consumer applicationsInnovation through Interoperability and Standardisation when everything is connected anytime at anyplaceSecurity, privacy, trust, safety, dependability: new challenges for IoTInternet of Things Industrial Applications.

Fog and Edge Computing: Principles and Paradigms

Автор: Rajkumar Buyya, Satish Narayana Srirama
Название: Fog and Edge Computing: Principles and Paradigms
ISBN: 1119524989 ISBN-13(EAN): 9781119524984
Издательство: Wiley
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Цена: 115050.00 T
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Описание:

A comprehensive guide to Fog and Edge applications, architectures, and technologies

Recent years have seen the explosive growth of the Internet of Things (IoT): the internet-connected network of devices that includes everything from personal electronics and home appliances to automobiles and industrial machinery. Responding to the ever-increasing bandwidth demands of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data more efficiently than traditional cloud architecture.

Fog and Edge Computing: Principles and Paradigms provides a comprehensive overview of the state-of-the-art applications and architectures driving this dynamic field of computing while highlighting potential research directions and emerging technologies.

Exploring topics such as developing scalable architectures, moving from closed systems to open systems, and ethical issues rising from data sensing, this timely book addresses both the challenges and opportunities that Fog and Edge computing presents. Contributions from leading IoT experts discuss federating Edge resources, middleware design issues, data management and predictive analysis, smart transportation and surveillance applications, and more. A coordinated and integrated presentation of topics helps readers gain thorough knowledge of the foundations, applications, and issues that are central to Fog and Edge computing. This valuable resource:

  • Provides insights on transitioning from current Cloud-centric and 4G/5G wireless environments to Fog Computing
  • Examines methods to optimize virtualized, pooled, and shared resources
  • Identifies potential technical challenges and offers suggestions for possible solutions
  • Discusses major components of Fog and Edge computing architectures such as middleware, interaction protocols, and autonomic management
  • Includes access to a website portal for advanced online resources

Fog and Edge Computing: Principles and Paradigms is an essential source of up-to-date information for systems architects, developers, researchers, and advanced undergraduate and graduate students in fields of computer science and engineering.


Fog Computing, Deep Learning and Big Data Analytics-Research Directions

Автор: C.S.R. Prabhu
Название: Fog Computing, Deep Learning and Big Data Analytics-Research Directions
ISBN: 9811332088 ISBN-13(EAN): 9789811332081
Издательство: Springer
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Цена: 102480.00 T
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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.

Combating Bad Weather Part II: Fog Removal from Image and Video

Автор: Sudipta Mukhopadhyay, Abhishek Kumar Tripathi
Название: Combating Bad Weather Part II: Fog Removal from Image and Video
ISBN: 162705586X ISBN-13(EAN): 9781627055864
Издательство: Mare Nostrum (Eurospan)
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Цена: 51750.00 T
Наличие на складе: Невозможна поставка.
Описание: A fog removal algorithm requires a single image captured by uncalibrated camera system. The anisotropic diffusion-based fog removal algorithm can be applied in both RGB and HSI colour space. This book shows that the use of HSI colour space reduces the complexity further. The said fog removal algorithm requires pre- and post-processing steps for the better restoration of the foggy image.

Advances on P2P, Parallel, Grid, Cloud and Internet Computing

Автор: Leonard Barolli; Peter Hellinckx; Juggapong Natwic
Название: Advances on P2P, Parallel, Grid, Cloud and Internet Computing
ISBN: 3030335089 ISBN-13(EAN): 9783030335083
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book presents the latest research findings, innovative research results, methods and development techniques related to P2P, grid, cloud and Internet computing from both theoretical and practical perspectives. It also reveals the synergies among such large-scale computing paradigms. P2P, grid, cloud and Internet computing technologies have rapidly become established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources at large scale.Grid computing originated as a paradigm for high-performance computing, as an alternative to expensive supercomputers through different forms of large-scale distributed computing. P2P computing emerged as a new paradigm after client–server and web-based computing and has proved useful in the development of social networking, B2B (business to business), B2C (business to consumer), B2G (business to government), and B2E (business to employee). Cloud computing has been defined as a “computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits,” and it has fast become a computing paradigm with applicability and adoption in all application domains and which provides utility computing at a large scale. Lastly, Internet computing is the basis of any large-scale distributed computing paradigms; it has developed into a vast area of flourishing fields with enormous impact on today’s information societies, and serving as a universal platform comprising a large variety of computing forms such as grid, P2P, cloud and mobile computing.


Crowd-Powered Mobile Computing and Smart Things

Автор: Seng W. Loke
Название: Crowd-Powered Mobile Computing and Smart Things
ISBN: 3319544357 ISBN-13(EAN): 9783319544359
Издательство: Springer
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Цена: 51230.00 T
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Описание: This SpringerBrief provides a synergistic overview of technology trends by emphasizing five linked perspectives: crowd+cloud machines, extreme cooperation with smart things, scalable context-awareness, drone services for mobile crowds and social links in mobile crowds.

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.

Privacy-Enhancing Fog Computing and Its Applications

Автор: Xiaodong Lin; Jianbing Ni; Xuemin (Sherman) Shen
Название: Privacy-Enhancing Fog Computing and Its Applications
ISBN: 3030021122 ISBN-13(EAN): 9783030021122
Издательство: Springer
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Цена: 46570.00 T
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Описание: This SpringerBrief covers the security and privacy challenges in fog computing, and proposes a new secure and privacy-preserving mechanisms to resolve these challenges for securing fog-assisted IoT applications. Chapter 1 introduces the architecture of fog-assisted IoT applications and the security and privacy challenges in fog computing. Chapter 2 reviews several promising privacy-enhancing techniques and illustrates examples on how to leverage these techniques to enhance the privacy of users in fog computing. Specifically, the authors divide the existing privacy-enhancing techniques into three categories: identity-hidden techniques, location privacy protection and data privacy enhancing techniques. The research is of great importance since security and privacy problems faced by fog computing impede the healthy development of its enabled IoT applications. With the advanced privacy-enhancing techniques, the authors propose three secure and privacy-preserving protocols for fog computing applications, including smart parking navigation, mobile crowdsensing and smart grid. Chapter 3 introduces identity privacy leakage in smart parking navigation systems, and proposes a privacy-preserving smart parking navigation system to prevent identity privacy exposure and support efficient parking guidance retrieval through road-side units (fogs) with high retrieving probability and security guarantees. Chapter 4 presents the location privacy leakage, during task allocation in mobile crowdsensing, and propose a strong privacy-preserving task allocation scheme that enables location-based task allocation and reputation-based report selection without exposing knowledge about the location and reputation for participators in mobile crowdsensing. Chapter 5 introduces the data privacy leakage in smart grid, and proposes an efficient and privacy-preserving smart metering protocol to allow collectors (fogs) to achieve real-time measurement collection with privacy-enhanced data aggregation. Finally, conclusions and future research directions are given in Chapter 6. This brief validates the significant feature extension and efficiency improvement of IoT devices without sacrificing the security and privacy of users against dishonest fog nodes. It also provides valuable insights on the security and privacy protection for fog-enabled IoT applications. Researchers and professionals who carry out research on security and privacy in wireless communication will want to purchase this SpringerBrief. Also, advanced level students, whose main research area is mobile network security will also be interested in this SpringerBrief.

Fog Computing: Theory and Practice

Автор: Assad Abbas, Samee U. Khan, Albert Y. Zomaya
Название: Fog Computing: Theory and Practice
ISBN: 1119551692 ISBN-13(EAN): 9781119551690
Издательство: Wiley
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Цена: 127720.00 T
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Описание:

Summarizes the current state and upcoming trends within the area of fog computing

Written by some of the leading experts in the field, Fog Computing: Theory and Practice focuses on the technological aspects of employing fog computing in various application domains, such as smart healthcare, industrial process control and improvement, smart cities, and virtual learning environments. In addition, the Machine-to-Machine (M2M) communication methods for fog computing environments are covered in depth.

Presented in two parts--Fog Computing Systems and Architectures, and Fog Computing Techniques and Application--this book covers such important topics as energy efficiency and Quality of Service (QoS) issues, reliability and fault tolerance, load balancing, and scheduling in fog computing systems. It also devotes special attention to emerging trends and the industry needs associated with utilizing the mobile edge computing, Internet of Things (IoT), resource and pricing estimation, and virtualization in the fog environments.

  • Includes chapters on deep learning, mobile edge computing, smart grid, and intelligent transportation systems beyond the theoretical and foundational concepts
  • Explores real-time traffic surveillance from video streams and interoperability of fog computing architectures
  • Presents the latest research on data quality in the IoT, privacy, security, and trust issues in fog computing

Fog Computing: Theory and Practice provides a platform for researchers, practitioners, and graduate students from computer science, computer engineering, and various other disciplines to gain a deep understanding of fog computing.



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