Fog Computing: Concepts, Frameworks, and Applications
暫譯: 雲霧計算：概念、框架與應用

Tomar, Ravi, Katal, Avita, Dahiya, Susheela

Fog Computing: Concepts, Frameworks, and Applications
  • 出版商: CRC
  • 出版日期: 2022-07-11
  • 售價: $6,500
  • 貴賓價: 9.5 折 $6,175
  • 語言: 英文
  • 頁數: 220
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032036192
  • ISBN-13: 9781032036199
  • 相關分類: Edge computing

    • 海外代購書籍(需單獨結帳)

商品描述

Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book's distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.

This book:

  • Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics

  • Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing

  • Provides an assessment of Fog Computing and its applications in the field of IoT

  • Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing

  • Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing

  • Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications

  • Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT

　

商品描述(中文翻譯)

《雲霧計算：概念、框架與應用》以易於理解的方式編排，讓沒有雲霧計算經驗的讀者能夠探索這一領域。這本書是分散式計算研究者以及希望提升對物聯網（IoT）設備的安全性和連接性理解的專業人士的可及資訊來源。對於從事無線通信安全和隱私研究的研究者和專業人士來說，這本書也非常有用。本書的目標讀者包括在雲霧計算領域工作或感興趣的學生、專業人士、研究者和開發者。本書的一個顯著特點是涵蓋了雲霧計算領域的各種案例研究和未來可能性。

本書內容包括：
- 從基本概念開始，幫助讀者掌握雲霧計算技術的基本概念
- 解釋雲霧計算架構以及雲霧計算、物聯網和雲計算的融合
- 評估雲霧計算及其在物聯網領域的應用
- 討論軟體定義網路和機器學習算法在雲霧計算中的應用
- 描述雲霧計算中的各種安全和隱私問題，並探討使用邊緣雲霧計算的消費者設備的單點控制系統
- 詳細概述如何在雲霧計算中利用區塊鏈技術，以及如何在遠程醫療和健康應用中使用雲霧計算
- 檢視通信協議的使用、雲霧計算實施的模擬工具，以及在生物信息學、災害控制和物聯網領域的案例研究

作者簡介

Dr Ravi Tomar is currently working as Associate Professor in the School of Computer Science at the University of Petroleum & Energy Studies, Dehradun, India. He is an experienced academician with a demonstrated history of working in the higher education industry. Skilled in Programming, Computer Networking, Stream processing, Python, Oracle Database, C++, Core Java, J2EE, RPA and CorDApp. His research interests include Wireless Sensor Networks, Image Processing, Data Mining and Warehousing, Computer Networks, big data technologies and VANET. He has authored 51+ papers in different research areas, filled four Indian patent, edited 5 books and have authored 4 books. He has delivered Training to corporates nationally and internationally on Confluent Apache Kafka, Stream Processing, RPA, CordaApp, J2EE and IoT to clients like KeyBank, Accenture, Union Bank of Philippines, Ernst and Young and Deloitte. Dr Tomar is officially recognized as Instructor for Confluent and CordApp. He has conducted various International conferences in India, France and Nepal. He has been awarded a young researcher in Computer Science and Engineering by RedInno, India in 2018, Academic Excellence and Research ExcellenceaAward by UPES in 2021.

Ms. Avita Katal is working as an Assistant Professor in Department of Systemics, School of Computer Science, Dehradun, Uttarakhand. She has received her B. E degree from University of Jammu in Computer Science Engineering in 2010 and M. Tech degree in the year 2013. She is currently pursuing her Ph.D. in the area of Cloud Computing. Her research interest is in the area of Cloud Computing, Mobile Ad hoc Networks, IOT, and Artificial Intelligence etc. Prior to this, she has worked has an Assistant professor in Department of Computer Science and Information Technology in Graphic Era Hill University, Dehradun from 2013 to 2016. She joined School of Computer Science and Engineering, University of Petroleum and Energy Studies in 2016 as an Assistant Professor. She has published various research papers in renowned conferences and journals and has served as a reviewer in various conferences.

Niharika Singh received her Doctorate degree in CSE from University of Petroleum and Energy Studies. Also, Master's degree in CSE from University of Petroleum and Energy Studies and Bachelor's Degree in ECE from Uttar Pradesh technical University. She has more than seven years of experience in teaching and research. Currently, working as Assistant Professor in School of Computer Science, University of Petroleum and Energy Studies (UPES) Dehradun. Her area of research is Artificial Intelligence, Machine Learning, Soft Computing and Image Processing. She has authored many research papers in various conferences and journals.

Dr. Susheela Dahiya is currently working as an Assistant Professor (Selection Grade) in the School of Computer Science at the University of Petroleum & Energy Studies, Dehradun, Uttarakhand, India. She has received her M. Tech. (Computer Science & Engineering) in 2008 and Ph.D. degree in 2015 from the Indian Institute of Technology Roorkee. She had also qualified GATE and NET in Computer Science. She has more than 9 years of academic/research/industry experience. Her research interests include Image & Video Processing, IoT, Cyber Security, Cloud Computing, and Deep Learning. She has authored several research papers in renowned conferences, Scopus & SCI journals.

Dr. Tanupriya Choudhury received his bachelor's degree in CSE from West Bengal University of Technology, Kolkata, India, and master's Degree in CSE from Dr. M.G.R University, Chennai, India.He has received his PhD degree in the year 2016. He has Ten years' experience in teaching as well as in Research. Currently he is working as an Associate Professor in dept. of CSE at UPES Dehradun. Recently he has received Global Outreach Education Award for Excellence in best Young researcher Award in GOECA 2018 . His areas of interests include Human computing, Soft computing, Cloud computing, Data Mining etc. He has filed 14 patents till date and received 16 copyrights from MHRD for his own softwares. He has been associated with many conferences in India and abroad. He has authored more than 85 research papers till date. He has delivered invited talk and guest lecture in Jamia Millia Islamia University, Maharaja Agersen College of Delhi University, Duy Tan University Vietnam etc. He has been associated with many conferences throughout India as TPC member and session chair etc. He is a lifetime member of IETA, member of IEEE, and member of IET (UK) and other renowned technical societies. He is associated with Corporate and he is Technical Adviser of DeetyaSoft Pvt. Ltd. Noida, IVRGURU, and Mydigital360 etc. He is holding the post of Secretary in IETA (Indian Engineering Teacher's Association-India), He is also holding the Advisor Position in INDO-UK Confederation of Science, Technology and Research Ltd., London, UK and International Association of Professional and Fellow Engineers-Delaware-USA.

作者簡介(中文翻譯)

拉維·托馬博士目前在印度德拉敦的石油與能源研究大學計算機科學學院擔任副教授。他是一位經驗豐富的學者，在高等教育行業有著良好的工作歷史。擅長於程式設計、計算機網絡、流處理、Python、Oracle Database、C++、Core Java、J2EE、RPA 和 CorDApp。他的研究興趣包括無線感測器網絡、影像處理、數據挖掘與倉儲、計算機網絡、大數據技術和車輛自組織網絡（VANET）。他在不同的研究領域發表了超過51篇論文，申請了四項印度專利，編輯了5本書籍並撰寫了4本書籍。他曾為國內外企業提供有關 Confluent Apache Kafka、流處理、RPA、CordaApp、J2EE 和物聯網的培訓，客戶包括 KeyBank、Accenture、菲律賓聯合銀行、安永和德勤。托馬博士被正式認可為 Confluent 和 CordApp 的講師。他在印度、法國和尼泊爾舉辦了多場國際會議。2018年，他被 RedInno 印度評選為計算機科學與工程的青年研究者，並於2021年獲得 UPES 的學術卓越和研究卓越獎。

阿維塔·卡塔爾女士目前在烏塔拉坎德德拉敦的計算機科學學院系統學系擔任助理教授。她於2010年在詹姆大學獲得計算機科學工程的學士學位，並於2013年獲得碩士學位。她目前正在攻讀雲計算領域的博士學位。她的研究興趣包括雲計算、移動自組織網絡、物聯網和人工智慧等。在此之前，她於2013年至2016年在德拉敦的圖形時代山大學計算機科學與信息技術系擔任助理教授。2016年，她加入石油與能源研究大學計算機科學與工程學院擔任助理教授。她在知名會議和期刊上發表了多篇研究論文，並在多個會議中擔任審稿人。

尼哈里卡·辛格在石油與能源研究大學獲得計算機科學與工程的博士學位，並在同校獲得碩士學位，還在北方邦技術大學獲得電子與通信工程的學士學位。她在教學和研究方面擁有超過七年的經驗。目前，她在石油與能源研究大學（UPES）計算機科學學院擔任助理教授。她的研究領域包括人工智慧、機器學習、軟計算和影像處理。她在各種會議和期刊上發表了多篇研究論文。

蘇希拉·達希亞博士目前在印度烏塔拉坎德德拉敦的石油與能源研究大學計算機科學學院擔任助理教授（選拔級）。她於2008年獲得計算機科學與工程的碩士學位，並於2015年獲得博士學位，均來自印度理工學院魯爾基。她還通過了計算機科學的 GATE 和 NET 考試。她擁有超過9年的學術/研究/行業經驗。她的研究興趣包括影像與視頻處理、物聯網、網絡安全、雲計算和深度學習。她在知名會議、Scopus 和 SCI 期刊上發表了多篇研究論文。

塔努普里亞·喬杜里博士在印度加爾各答的西孟加拉技術大學獲得計算機科學與工程的學士學位，並在印度金奈的 M.G.R 大學獲得碩士學位。他於2016年獲得博士學位。他在教學和研究方面擁有十年的經驗。目前，他在 UPES 德拉敦的計算機科學系擔任副教授。最近，他因在 GOECA 2018 中獲得最佳青年研究者獎而獲得全球外展教育卓越獎。他的研究興趣包括人機計算、軟計算、雲計算、數據挖掘等。至今，他已申請14項專利，並從 MHRD 獲得16項軟體著作權。他參與了許多國內外會議，並在 Jamia Millia Islamia 大學、德里大學的 Maharaja Agersen 學院、越南的 Duy Tan 大學等地發表過邀請演講和客座講座。他在印度的多個會議中擔任 TPC 成員和會議主席等職位。他是 IETA（印度工程教師協會）的終身會員，也是 IEEE 和 IET（英國）及其他知名技術社團的成員。他與企業合作，擔任 DeetyaSoft Pvt. Ltd. Noida、IVRGURU 和 Mydigital360 等公司的技術顧問。他在 IETA 擔任秘書職位，並在英國倫敦的 INDO-UK 科學、技術與研究聯合會和美國德拉瓦州的國際專業與資深工程師協會擔任顧問職位。

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