Fog Computing for Intelligent Cloud Iot Systems
Banerjee, Chandan, Ghosh, Anupam, Chakraborty, Rajdeep
- 出版商: Wiley-Scrivener
- 出版日期: 2024-06-26
- 售價: $7,650
- 貴賓價: 9.5 折 $7,268
- 語言: 英文
- 頁數: 464
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1394174616
- ISBN-13: 9781394174614
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相關分類:
Edge computing、物聯網 IoT
無法訂購
相關主題
商品描述
This book is a comprehensive guide on fog computing and how it facilitates computing, storage, and networking services
Fog computing is a decentralized computing structure that connects data, devices, and the cloud. It is an extension of cloud computing and is an essential concept in IoT (Internet of Things), as it reduces the burden of processing in cloud computing. It brings intelligence and processing closer to where the data is created and transmitted to other sources.
Fog computing has many benefits, such as reduced latency in processing data, better response time that helps the user's experience, and security and privacy compliance that assures protecting the vital data in the cloud. It also reduces the cost of bandwidth, because the processing is achieved in the cloud, which reduces network bandwidth usage and increases efficiency as user devices share data in the local processing infrastructure rather than the cloud service.
Fog computing has various applications across industries, such as agriculture and farming, the healthcare industry, smart cities, education, and entertainment. For example, in the agriculture industry, a very prominent example is the SWAMP project, which stands for Smart Water Management Platform. With fog computing's help, SWAMP develops a precision-based smart irrigation system concept used in agriculture, minimizing water wastage.
This book is divided into three sections. The first section studies fog computing and machine learning, covering fog computing architecture, application perspective, computational offloading in mobile cloud computing, intelligent Cloud-IoT systems, machine learning fundamentals, and data visualization. The second section focuses on applications and analytics, spanning various applications of fog computing, such as in healthcare, Industry 4.0, cancer cell detection systems, smart farming, and precision farming. This section also covers analytics in fog computing using big data and patient monitoring systems, and the emergence of fog computing concerning applications and potentialities in traditional and digital educational systems. Security aspects in fog computing through blockchain and IoT, and fine-grained access through attribute-based encryption for fog computing are also covered.
Audience
The book will be read by researchers and engineers in computer science, information technology, electronics, and communication specializing in machine learning, deep learning, the cyber world, IoT, and security systems.
商品描述(中文翻譯)
**智慧雲端物聯網系統的霧計算**
**本書是一本關於霧計算的綜合指南，探討其如何促進計算、儲存和網路服務。**
霧計算是一種去中心化的計算結構，連接數據、設備和雲端。它是雲計算的延伸，並且在物聯網（IoT）中是一個重要概念，因為它減輕了雲計算的處理負擔。霧計算將智能和處理能力更接近數據生成和傳輸到其他來源的地方。
霧計算有許多好處，例如減少數據處理的延遲、改善響應時間以提升用戶體驗，以及確保安全和隱私合規，保護雲端中的重要數據。它還降低了帶寬成本，因為處理在雲端進行，這減少了網路帶寬的使用並提高了效率，因為用戶設備在本地處理基礎設施中共享數據，而不是依賴雲服務。
霧計算在各行各業中有多種應用，例如農業、醫療保健、智慧城市、教育和娛樂。例如，在農業行業中，一個非常突出的例子是SWAMP計畫，代表智能水管理平台。借助霧計算，SWAMP開發了一個基於精準的智能灌溉系統概念，用於農業，最小化水資源浪費。
本書分為三個部分。第一部分研究霧計算和機器學習，涵蓋霧計算架構、應用視角、移動雲計算中的計算卸載、智能雲物聯網系統、機器學習基礎和數據可視化。第二部分專注於應用和分析，涵蓋霧計算的各種應用，例如在醫療保健、工業4.0、癌細胞檢測系統、智能農業和精準農業中的應用。這一部分還涵蓋了使用大數據和病人監測系統的霧計算分析，以及霧計算在傳統和數位教育系統中的應用和潛力的出現。霧計算中的安全性方面通過區塊鏈和物聯網，以及通過基於屬性的加密實現的細粒度訪問也有涉及。
**讀者對象**
本書將由計算機科學、資訊技術、電子學和通信領域的研究人員和工程師閱讀，專注於機器學習、深度學習、網路安全、物聯網和安全系統。
作者簡介
Chandan Banerjee, PhD, is a professor in the Department of Information Technology, Netaji Subhash Engineering College, West Bengal, India. His research interests include cloud computing, computer networks, fog computing, data structure, and algorithms. With about 35 publications in referred international journals, he serves as a reviewer for many peer-reviewed international journals and international conferences. Banerjee is the recipient of several awards including the top-performing mentor award and the Silver Partner Faculty Recognition award.
Anupam Ghosh, PhD, is a professor in the Department of Computer Science and Engineering, Netaji Subhash Engineering College, Kolkata, India. He has published more than 100 international papers in reputed international journals and conferences. His fields of interest are mainly AI, machine learning, deep learning, image processing, soft computing, bioinformatics, IoT, and data mining.
Rajdeep Chakraborty, PhD, is an assistant professor in the Department of Computer Science and Engineering, Netaji Subhash Engineering College, Kolkata, India. His fields of interest are mainly in cryptography and computer security. He was awarded the Adarsh Vidya Saraswati Rashtriya Puraskar, National Award of Excellence 2019 conferred by Glacier Journal Research Foundation,
Ahmed A. Elngar, PhD, is an associate professor in the Department of Computer Science and Engineering, University Institute of Engineering, Chandigarh University, Punjab, India. His field of interest focuses on cryptology and computer security. He has several publications in reputed journals along with a book on hardware cryptography. In 2019, Elngar was awarded the Adarsh Vidya Sarawati Rashtriya Puraskar, National Award of Excellence.
作者簡介(中文翻譯)
Chandan Banerjee, PhD，是印度西孟加拉邦Netaji Subhash工程學院資訊科技系的教授。他的研究興趣包括雲端運算、計算機網路、霧運算、資料結構和演算法。Banerjee在國際期刊上發表了約35篇論文，並擔任多個同行評審的國際期刊和國際會議的審稿人。他獲得了多項獎項，包括最佳導師獎和銀夥伴教職員認可獎。
Anupam Ghosh, PhD，是印度加爾各答Netaji Subhash工程學院計算機科學與工程系的教授。他在知名的國際期刊和會議上發表了超過100篇國際論文。他的研究領域主要包括人工智慧、機器學習、深度學習、影像處理、軟計算、生物資訊學、物聯網和資料探勘。
Rajdeep Chakraborty, PhD，是印度加爾各答Netaji Subhash工程學院計算機科學與工程系的助理教授。他的研究領域主要集中在密碼學和計算機安全。他獲得了由Glacier Journal Research Foundation頒發的Adarsh Vidya Saraswati Rashtriya Puraskar，2019年國家卓越獎。
Ahmed A. Elngar, PhD，是印度旁遮普州昌迪加爾大學工程學院計算機科學與工程系的副教授。他的研究領域專注於密碼學和計算機安全。他在知名期刊上發表了多篇論文，並出版了一本有關硬體密碼學的書籍。2019年，Elngar獲得了Adarsh Vidya Sarawati Rashtriya Puraskar，國家卓越獎。
