Machine Learning and Optimization Models for Optimization in Cloud
暫譯: 雲端優化的機器學習與優化模型
Punit Gupta , Mayank Kumar Goyal , Sudeshna Chakraborty , Ahmed A Elngar
- 出版商: CRC
- 出版日期: 2022-02-28
- 售價: $5,870
- 貴賓價: 9.5 折 $5,577
- 語言: 英文
- 頁數: 204
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032028203
- ISBN-13: 9781032028200
-
相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
Machine Learning and Models for Optimization in Cloud’s main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition.
This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud.
Key Features
· Comprehensive introduction to cloud architecture and its service models.
· Vulnerability and issues in cloud SAAS, PAAS and IAAS
· Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models
· Detailed study of optimization techniques, and fault management techniques in multi layered cloud.
· Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network.
· Advanced study of algorithms using artificial intelligence for optimization in cloud
· Method for power efficient virtual machine placement using neural network in cloud
· Method for task scheduling using metaheuristic algorithms.
· A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment.
This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence.
商品描述(中文翻譯)
機器學習與雲端優化模型的主要目標是以高品質的服務、最少的計算時間和高可靠性來滿足用戶需求。隨著越來越多的服務遷移到雲端提供商，雲端的負載增加，導致系統故障和各種安全失敗，從而降低了可靠性。為了滿足這一需求，雲端系統使用智能元啟發式和預測算法，以高效的方式為用戶提供資源，管理系統性能並計劃即將到來的請求。智能算法幫助系統在實時中預測並找到適合雲環境的資源，並考慮到系統在負載不足和過載條件下的性能，從而實現最低的計算複雜度。
本書討論了未來的改進和可能的智能優化模型，利用人工智慧、深度學習技術和其他混合模型來提高雲端的性能。提出了多種增強雲服務指向性的方法，這將使雲端能夠為用戶提供更好的服務、性能和服務質量。它還探討了下一代智能優化和故障模型，以提高雲端的安全性和可靠性。
主要特點
· 全面介紹雲端架構及其服務模型。
· 雲端 SAAS、PAAS 和 IAAS 的脆弱性和問題。
· 與使用元啟發式、人工智慧和機器學習模型優化雲計算性能相關的基本問題。
· 多層雲中的優化技術和故障管理技術的詳細研究。
· 使用自然啟發算法和人工神經網絡提高雲端可靠性和故障的方法。
· 使用人工智慧進行雲端優化的算法進階研究。
· 使用神經網絡在雲端進行節能虛擬機部署的方法。
· 使用元啟發式算法進行任務調度的方法。
· 在故障感知環境中，機器學習和深度學習啟發的資源分配算法的研究。
本書旨在激發研究生或研究生的研究興趣和動機。它旨在為研究人員提供有關雲端優化算法的研究，讓他們一窺人工智慧時代雲計算的未來。
作者簡介
Punit Gupta is Associate Professor in the Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India, from 2018. He received B.Tech. Degree in Computer Science and Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Madhya Pradesh in 2010. He received M.Tech. Degree in Computer Science and Engineering from Jaypee Institute of Information Technology (Deemed university) in 2012 On Trust Management in Cloud computing .He is a Gold Medalist in M-Tech. He has been awarded doctoral degree in Feb 2017. He has research experience in Internet-of-Things, Cloud Computing, and Distributed algorithms and authored more than 70 research papers in referred reputed journals and international conferences. He is currently serving as a Member of Computer Society of India (CSI), Member of IEEE, Professional member of ACM. HE has authored 15 books of springer, IGI and many more.
Mayank K Goyal is an Assistant professor at Sharda University, India. He received M.Tech. Degree in Computer Science and Engineering from Jaypee Institute of Information Technology (Deemed university) in. He has been awarded doctoral degree in Feb 2019. He has research experience in Internet-of-Things, Cloud Computing, and Distributed algorithms and authored more than 50 research papers in referred reputed journals and international conferences. He is currently serving as a Member of Computer Society of India (CSI), Member of IEEE, Professional member of ACM.
Sudeshna Chakraborty is an consolidation of 15 years industry academics experiences . Research Group Head and Associate Professor of Computer Science & Engineering Department at Sharda University, Greater Noida. She is PhD in Computer Science & Engineering with Neural Network & Semantic Web Engineering. She has acquired several awards as best teacher, research excellence award by Inst of Scholars, keynote speaker, for best Paper Presenter (IEI), Organizing member of International conference, Reviewer committee, Session Chairs, Institute of Engineers, InSc and ATAL AICTE sponsored FDP and other FDP as a speaker. she has filed 8 patent in the field of Robotic, solar energy & sensors, chaired IEEE conference in Paris ICACCE 2018 & keynote Speaker Springer conference in Tunisia ICS2A, Track Chair Smart Tecnologies and Artificial Intelligence spain. She is active member of professional society like IEEE (USA), IEI, IETA and Academic.
Ahmed A Elngar is an assistant professor at Faculty of Computers & Artificial Intelligence, Beni-Suef University, Egypt. He is Director of Technological and Informatics Studies Center at Beni-Suef University. He is managing editor of Journal of Cyber Security and Information Management (JCIM). The professor completed his Doctor of Philosophy (Ph.D) of Computer Science, Faculty of Science from Al-Azhar University - Cairo, Egypt in 2016. He has over 30 research contributions on reputed journals and conferences. He also have 11 books published with reputed publishers.
作者簡介(中文翻譯)
**Punit Gupta** 是印度拉賈斯坦邦齋浦爾的馬尼帕爾大學計算機與通信工程系的副教授，自2018年以來任職。他於2010年獲得印度中央邦拉吉夫甘地技術大學的計算機科學與工程學士學位，並於2012年在傑普伊信息技術學院（被認定為大學）獲得計算機科學與工程碩士學位，研究主題為雲計算中的信任管理。他在碩士學位中獲得金牌，並於2017年2月獲得博士學位。他在物聯網、雲計算和分佈式算法方面擁有研究經驗，並在知名期刊和國際會議上發表了70多篇研究論文。他目前是印度計算機學會（CSI）成員、IEEE成員及ACM專業成員。他已出版15本書籍，涵蓋施普林格、IGI等多個出版社。
**Mayank K Goyal** 是印度沙爾達大學的助理教授。他在傑普伊信息技術學院（被認定為大學）獲得計算機科學與工程碩士學位，並於2019年2月獲得博士學位。他在物聯網、雲計算和分佈式算法方面擁有研究經驗，並在知名期刊和國際會議上發表了50多篇研究論文。他目前是印度計算機學會（CSI）成員、IEEE成員及ACM專業成員。
**Sudeshna Chakraborty** 擁有15年的產業與學術經驗。她是沙爾達大學（Greater Noida）計算機科學與工程系的研究小組負責人及副教授。她在計算機科學與工程領域獲得神經網絡與語義網工程的博士學位。她獲得多項獎項，包括最佳教師、學術卓越獎（由學者機構頒發）、最佳論文報告者（IEI）、國際會議組織成員、審稿委員會成員、會議主席等。她在機器人、太陽能和傳感器領域申請了8項專利，並在2018年巴黎的IEEE會議ICACCE擔任主席，還在突尼西亞的施普林格會議ICS2A擔任主題演講者，並在西班牙的智能技術與人工智慧會議擔任主題主席。她是IEEE（美國）、IEI、IETA等專業社團的活躍成員。
**Ahmed A Elngar** 是埃及貝尼蘇埃夫大學計算機與人工智慧學院的助理教授。他是貝尼蘇埃夫大學技術與信息研究中心的主任，也是《網絡安全與信息管理期刊》（JCIM）的主編。該教授於2016年在開羅的阿茲哈爾大學獲得計算機科學博士學位（Ph.D）。他在知名期刊和會議上發表了30多篇研究成果，並與知名出版社出版了11本書籍。
