Bio-Inspired Optimization in Fog and Edge Computing Environments: Principles, Algorithms, and Systems
暫譯: 霧計算與邊緣計算環境中的生物啟發優化:原則、演算法與系統

Gupta, Punit, Kumar Saini, Dinesh, Rawat, Pradeep

  • 出版商: Auerbach Publication
  • 出版日期: 2023-01-20
  • 售價: $5,550
  • 貴賓價: 9.5$5,273
  • 語言: 英文
  • 頁數: 254
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032262907
  • ISBN-13: 9781032262901
  • 相關分類: Algorithms-data-structures
  • 海外代購書籍(需單獨結帳)

商品描述

A new era of complexity science is emerging in which nature- and bio-inspired principles are being applied to provide solutions. At the same time, systems complexity is increasing due to such models as the Internet of Things (IoT) and fog computing. Can complexity science applying the principles of nature be able to tackle the challenges posed by highly complex networked systems?

Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems is an attempt to answer this question It presents and innovative bio-inspired solutions for fog and edge computing and highlights the role of machine learning and informatics. Nature- or biological-inspired techniques are successful tools to understand and analyze a collective behavior. As the book demonstrates, algorithms and mechanisms of self-organization of complex natural systems have been used to solve optimization problems, particularly in complex systems that are adaptive, ever evolving, and distributed in nature.

Chapters look at ways of enhancing the performance of fog networks in real-world applications using nature-based optimization techniques. They discuss challenges and provide solutions to such concerns as security, privacy, and power consumption in cloud data center nodes and fog computing networks. The book also examines how:

  • The existing fog and edge architecture is used to provide solutions to future challenges
  • A geographical information system (GIS0 can be used with fog computing to help users in an urban region access prime healthcare
  • An optimization framework helps in cloud resource management.
  • Fog computing can improve the quality, quantity, long-term viability, and cost-effectiveness of agricultural production
  • How virtualization can support fog computing, increase resources to be allocated, and be applied to different network layers
  • The combination of fog computing and IoT or cloud computing can help healthcare workers predict and analyze diseases in patients.

商品描述(中文翻譯)

一個新的複雜性科學時代正在出現,這個時代中,自然和生物啟發的原則被應用於提供解決方案。與此同時,由於物聯網(IoT)和雲端計算等模型,系統的複雜性正在增加。應用自然原則的複雜性科學能否應對高度複雜的網絡系統所帶來的挑戰?

《霧計算與邊緣計算中的生物啟發優化:原則、算法與系統》試圖回答這個問題。它提出了創新的生物啟發解決方案,針對霧計算和邊緣計算,並強調機器學習和資訊學的角色。自然或生物啟發的技術是理解和分析集體行為的成功工具。正如本書所示,複雜自然系統的自我組織算法和機制已被用來解決優化問題,特別是在適應性強、持續演變且本質上分散的複雜系統中。

各章節探討了如何利用基於自然的優化技術來增強霧網絡在現實應用中的性能。它們討論了挑戰並提供了解決方案,針對雲數據中心節點和霧計算網絡中的安全性、隱私和能耗等問題。本書還檢視了以下內容:

- 現有的霧和邊緣架構如何用於提供未來挑戰的解決方案
- 地理資訊系統(GIS)如何與霧計算結合,幫助城市地區的用戶獲得優質醫療服務
- 一個優化框架如何協助雲資源管理
- 霧計算如何改善農業生產的質量、數量、長期可行性和成本效益
- 虛擬化如何支持霧計算,增加可分配的資源,並應用於不同的網絡層
- 霧計算與物聯網或雲計算的結合如何幫助醫療工作者預測和分析患者的疾病。

作者簡介

Dr. Punit Gupta is currently working as associate professor in the department of computer and communication engineering at Manipal University Jaipur, India.

Dr. Dinesh Kumar Saini is a full professor at the School of Computing and Information Technology, Manipal University.

Dr. Pradeep Rawat is affiliated with DIT University, India.

Dr. Kashif Zia is currently working as an associate professor in the faculty of computing and information technology, Sohar University, Oman.

作者簡介(中文翻譯)

普尼特·古普塔博士 目前在印度的賈伊普曼尼帕爾大學計算機與通信工程系擔任副教授。

迪內什·庫馬爾·賽尼博士 是曼尼帕爾大學計算與資訊技術學院的正教授。

普拉迪普·拉瓦特博士 目前隸屬於印度的DIT大學。

卡希夫·齊亞博士 目前在阿曼的索哈爾大學計算與資訊技術學院擔任副教授。