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Fog and edge computing :principles and paradigms /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fog and edge computing :edited by Rajkumar Buyya and Satish Narayana Srirama.
Reminder of title:	principles and paradigms /
other author:	Buyya, Rajkumar,
Description:	xxvii, 471 pages :color illustrations ; c 23 cm.
Subject:	Cloud computing.
Online resource:	https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1995237
Online resource:	https://doi.org/10.1002/9781119525080
ISBN:	1119525012

Fog and edge computing :principles and paradigms /
Fog and edge computing :principles and paradigms /edited by Rajkumar Buyya and Satish Narayana Srirama. - xxvii, 471 pages :color illustrations ; c 23 cm. - Wiley series on parallel and distributed computing. - Wiley series on parallel and distributed computing..

Includes bibliographical references and index.

Part I Foundations -- Internet of Things (IoT) and New Computing Paradigms / Chii Chang, Satish Narayana Srirama, and Rajkumar Buyya -- Addressing the Challenges in Federating Edge Resources / Ahmet Cihat Baktir, Cagatay Sonmez, Cem Ersoy, Atay Ozgovde, and Blesson Varghese -- Integrating IoT+Fog+Cloud Infrastructures: System Modeling and Research Challenges / Guto Leoni Santos, Matheus Ferreira, Leylane Ferreira, Judith Kelner, Djamel Sadok, Edison Albuquerque, Theo Lynn, and Patricia Takako Endo -- Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds / Adel Nadjaran Toosi, Redowan Mahmud, Qinghua Chi, and Rajkumar Buyya -- Optimization Problems in Fog and Edge Computing / Zolt�an �Ad�am Mann -- Part II Middlewares -- Middleware for Fog and Edge Computing: Design Issues / Madhurima Pore, Vinaya Chakati, Ayan Banerjee, and Sandeep K. S. Gupta -- A Lightweight Container Middleware for Edge Cloud Architectures / David von Leon, Lorenzo Miori, Julian Sanin, Nabil El Ioini, Sven Helmer, and Claus Pahl -- Data Management in Fog Computing / Tina Samizadeh Nikoui, Amir Masoud Rahmani, and Hooman Tabarsaied -- Predictive Analysis to Support Fog ApplicationDeployment / Antonio Brogi, Stefano Forti, and Ahmad Ibrahim -- Using Machine Learning for Protecting the Security and Privacy of Internet of Things (IoT) Systems / Melody Moh and Robinson Raju -- Part III Applications and Issues -- Fog Computing Realization for Big Data Analytics / Farhad Mehdipour, Bahman Javadi, Aniket Mahanti, and Guillermo Ramirez-Prado -- Exploiting Fog Computing in Health Monitoring / Tuan Nguyen Gia and Mingzhe Jiang -- Smart Surveillance Video Stream Processing at the Edge for Real-Time Human Objects Tracking / Seyed Yahya Nikouei, Ronghua Xu, and Yu Chen -- Fog Computing Model for Evolving Smart Transportation Applications / M. Muzakkir Hussain, Mohammad Saad Alam, and M.M. Sufyan Beg -- Testing Perspectives of Fog-Based IoT Applications / Priyanka Chawla and Rohit Chawla -- Legal Aspects of Operating IoT Applications in the Fog / G. Gultekin Varkonyi, Sz. Varadi, and Attila Kertesz -- Modeling and Simulation of Fog and Edge Computing Environments Using iFogSim Toolkit / Redowan Mahmud and Rajkumar Buyya.

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 and privacy concerns of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data closer to devices and more efficiently than traditional cloud architecture. Fog and Edge Computing: Principles and Paradigmsprovides 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: . Discusses IoT and new computing paradigms in the domain such as Fog, Edge and Mist. 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 Paradigmsis 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.

ISBN: 1119525012

Standard No.: 10.1002/9781119525080doi

LCCN: 2018057015Subjects--Topical Terms:

378527
Cloud computing.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QA76.585 / .F63 2019

National Agricultural Library Call No.: cam 2200685 i 4500

Fog and edge computing :principles and paradigms /
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505 0 $a Part I Foundations -- Internet of Things (IoT) and New Computing Paradigms / Chii Chang, Satish Narayana Srirama, and Rajkumar Buyya -- Addressing the Challenges in Federating Edge Resources / Ahmet Cihat Baktir, Cagatay Sonmez, Cem Ersoy, Atay Ozgovde, and Blesson Varghese -- Integrating IoT+Fog+Cloud Infrastructures: System Modeling and Research Challenges / Guto Leoni Santos, Matheus Ferreira, Leylane Ferreira, Judith Kelner, Djamel Sadok, Edison Albuquerque, Theo Lynn, and Patricia Takako Endo -- Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds / Adel Nadjaran Toosi, Redowan Mahmud, Qinghua Chi, and Rajkumar Buyya -- Optimization Problems in Fog and Edge Computing / Zolt�an �Ad�am Mann -- Part II Middlewares -- Middleware for Fog and Edge Computing: Design Issues / Madhurima Pore, Vinaya Chakati, Ayan Banerjee, and Sandeep K. S. Gupta -- A Lightweight Container Middleware for Edge Cloud Architectures / David von Leon, Lorenzo Miori, Julian Sanin, Nabil El Ioini, Sven Helmer, and Claus Pahl -- Data Management in Fog Computing / Tina Samizadeh Nikoui, Amir Masoud Rahmani, and Hooman Tabarsaied -- Predictive Analysis to Support Fog ApplicationDeployment / Antonio Brogi, Stefano Forti, and Ahmad Ibrahim -- Using Machine Learning for Protecting the Security and Privacy of Internet of Things (IoT) Systems / Melody Moh and Robinson Raju -- Part III Applications and Issues -- Fog Computing Realization for Big Data Analytics / Farhad Mehdipour, Bahman Javadi, Aniket Mahanti, and Guillermo Ramirez-Prado -- Exploiting Fog Computing in Health Monitoring / Tuan Nguyen Gia and Mingzhe Jiang -- Smart Surveillance Video Stream Processing at the Edge for Real-Time Human Objects Tracking / Seyed Yahya Nikouei, Ronghua Xu, and Yu Chen -- Fog Computing Model for Evolving Smart Transportation Applications / M. Muzakkir Hussain, Mohammad Saad Alam, and M.M. Sufyan Beg -- Testing Perspectives of Fog-Based IoT Applications / Priyanka Chawla and Rohit Chawla -- Legal Aspects of Operating IoT Applications in the Fog / G. Gultekin Varkonyi, Sz. Varadi, and Attila Kertesz -- Modeling and Simulation of Fog and Edge Computing Environments Using iFogSim Toolkit / Redowan Mahmud and Rajkumar Buyya.
520 $a 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 and privacy concerns of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data closer to devices and more efficiently than traditional cloud architecture. Fog and Edge Computing: Principles and Paradigmsprovides 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: . Discusses IoT and new computing paradigms in the domain such as Fog, Edge and Mist. 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 Paradigmsis 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.
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