Cloud and Fog Optimization-Based Solutions for Sustainable Developments (雲霧優化解決方案於可持續發展的應用)

Harnal, Shilpi, Tiwari, Rajeev, Garg, Lalit

  • 出版商: CRC
  • 出版日期: 2024-12-24
  • 售價: $5,510
  • 貴賓價: 9.5$5,235
  • 語言: 英文
  • 頁數: 326
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032799099
  • ISBN-13: 9781032799094
  • 無法訂購

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商品描述

Cloud and Fog Optimization-based Solutions for Sustainable Developments discusses the integration of fog computing and the Internet of Things to provide scalable, secure, and cost-effective digital infrastructures for smart services in diverse domains:

- Highlights resource management solutions for the Internet of Things devices in fog computing architectures.

- Discusses waste management using cloud and fog computing for sustainable development, and optimization of the Internet of Things in fog computing for fault tolerance.

- Covers smart surveillance and monitoring using cloud and fog computing, and energy-efficient smart healthcare.

- Explains energy-efficient frameworks for cloud-fog environments for sustainable development, and smart grid infrastructure using cloud and fog computing.

- Presents the management of metropolitan mobility for public transport and smart vehicles with cloud and fog computing.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

商品描述(中文翻譯)

《基於雲端與霧端優化的可持續發展解決方案》探討了霧計算與物聯網的整合,以提供可擴展、安全且具成本效益的數位基礎設施,為各種領域的智慧服務服務:

- 突出霧計算架構中物聯網設備的資源管理解決方案。
- 討論利用雲端與霧計算進行廢物管理以促進可持續發展,以及在霧計算中優化物聯網以實現容錯。
- 涵蓋使用雲端與霧計算的智慧監控與監測,以及節能的智慧醫療。
- 解釋雲霧環境中的節能框架以促進可持續發展,以及使用雲端與霧計算的智慧電網基礎設施。
- 提出利用雲端與霧計算管理都市交通的公共運輸與智慧車輛。

本書主要針對電機工程、電子與通信工程、計算機科學與工程以及資訊科技領域的高年級本科生、研究生及學術研究者撰寫。

作者簡介

Shilpi Harnal is an Associate Professor in the Department of Computer Science & Engineering at Chandigarh University, Mohali, Punjab, India. She specializes in cloud computing and security. She has worked on fog computing, underwater wireless sensor networks (UWSN), and artificial intelligence. She has around 14 years of teaching experience and has published 20 patents and 35+ research papers in various international, national, and peer-reviewed journals, books, and conferences.

Rajeev Tiwari is a Professor and Dean in the School of Computer Science and Engineering at IILM University Greater Noida, India. He is a senior IEEE member. He has more than 16 years of research and teaching experience. His broad areas of research include cloud computing, MANET, VANET, fog computing, QoS in such network environments, cache invalidation techniques, the Internet of Things (IoT), big data analytics, and machine learning. He has 70+ international publications in SCI, and Scopus-indexed journals and conferences.

Lalit Garg is an Associate Professor in the Department of Computer Information Systems, at the University of Malta, Malta, and an Honorary Lecturer at the University of Liverpool, UK. He has been a researcher at Nanyang Technological University, Singapore, and Ulster University, UK. He has published 150+ high impact publications in refereed journals/conferences/books, 17 edited books, and 22 patents. His research interests are business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, the Internet of Things (IoT), and information systems.

Ashish Mathur is a Professor in the Center for Inter-disciplinary Research and Innovation (CIDRI), at UPES Dehradun, India. He worked as a research associate at the Nanotechnology and Integrated Bio-Engineering Center (NIBEC), at the University of Ulster, UK. His noteworthy contributions in the field of research are reflected in his published 116 research papers in high impact journals including Biosensors and Bioelectronics, Scientific Reports, IEEE Sensors, Applied Surface Science, and Sensor. His research focuses on developing novel sensors using nanotechnology for societal benefits, which include women's safety, drug abuse, and environmental issues.

作者簡介(中文翻譯)

Shilpi Harnal 是印度旁遮普邦莫哈里昌迪加爾大學計算機科學與工程系的副教授。她專注於雲計算和安全性。她曾從事霧計算、水下無線感測網路(UWSN)和人工智慧的研究。她擁有約14年的教學經驗,並在各種國際、國內及同行評審的期刊、書籍和會議上發表了20項專利和超過35篇研究論文。

Rajeev Tiwari 是印度大諾伊達IILM大學計算機科學與工程學院的教授及院長。他是資深的IEEE會員,擁有超過16年的研究和教學經驗。他的研究範疇包括雲計算、移動自組網(MANET)、車輛自組網(VANET)、霧計算、這些網路環境中的服務品質(QoS)、快取失效技術、物聯網(IoT)、大數據分析和機器學習。他在SCI和Scopus索引的期刊及會議上發表了70篇以上的國際論文。

Lalit Garg 是馬爾他馬爾他大學計算機資訊系的副教授,同時也是英國利物浦大學的榮譽講師。他曾在新加坡南洋理工大學和英國阿爾斯特大學擔任研究員。他在經過審核的期刊、會議和書籍上發表了150篇以上的高影響力出版物,編輯了17本書籍,並擁有22項專利。他的研究興趣包括商業智慧、機器學習、數據科學、深度學習、雲計算、移動計算、物聯網(IoT)和資訊系統。

Ashish Mathur 是印度德拉敦UPES大學跨學科研究與創新中心(CIDRI)的教授。他曾在英國阿爾斯特大學的納米技術與綜合生物工程中心(NIBEC)擔任研究助理。他在研究領域的顯著貢獻體現在他發表的116篇高影響力期刊論文中,包括《生物感測器與生物電子學》、《科學報告》、《IEEE感測器》、《應用表面科學》和《感測器》。他的研究專注於利用納米技術開發新型感測器,以造福社會,涵蓋女性安全、藥物濫用和環境問題等議題。