Machine Learning for Cloud Management
暫譯: 雲端管理的機器學習

Kumar, Jitendra, Singh, Ashutosh Kumar, Mohan, Anand

  • 出版商: CRC
  • 出版日期: 2021-11-26
  • 售價: $2,830
  • 貴賓價: 9.5$2,689
  • 語言: 英文
  • 頁數: 182
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367622564
  • ISBN-13: 9780367622565
  • 相關分類: Machine Learning
  • 其他版本: Machine Learning for Cloud Management
  • 海外代購書籍(需單獨結帳)

商品描述

Cloud computing offers subscription-based on-demand services, and it has emerged as the backbone of the computing industry. It has enabled us to share resources among multiple users through virtualization, which creates a virtual instance of a computer system running in an abstracted hardware layer. Unlike early distributed computing models, it offers virtually limitless computing resources through its large scale cloud data centers. It has gained wide popularity over the past few years, with an ever-increasing infrastructure, a number of users, and the amount of hosted data. The large and complex workloads hosted on these data centers introduce many challenges, including resource utilization, power consumption, scalability, and operational cost. Therefore, an effective resource management scheme is essential to achieve operational efficiency with improved elasticity. Machine learning enabled solutions are the best fit to address these issues as they can analyze and learn from the data. Moreover, it brings automation to the solutions, which is an essential factor in dealing with large distributed systems in the cloud paradigm.

Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The predictive approaches are developed using regression-based time series analysis and neural network models. The neural network-based models are primarily trained using evolutionary algorithms, and efficient virtual machine placement schemes are developed using multi-objective genetic algorithms.

Key Features:

  • the first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds.
  • predictive analytics is an integral part of efficient cloud resource management, and this book gives a future research direction to researchers in this domain.
  • it is written by leading international researchers.

The book is ideal for researchers who are working in the domain of cloud computing.

商品描述(中文翻譯)

雲端運算提供基於訂閱的按需服務,並已成為計算產業的支柱。它使我們能夠通過虛擬化在多個用戶之間共享資源,虛擬化創建了一個運行在抽象硬體層上的計算機系統的虛擬實例。與早期的分散式計算模型不同,雲端運算通過其大型雲端數據中心提供幾乎無限的計算資源。在過去幾年中,它獲得了廣泛的普及,基礎設施不斷增長,用戶數量和托管數據量也在不斷增加。這些數據中心上托管的大型和複雜工作負載帶來了許多挑戰,包括資源利用率、能耗、可擴展性和運營成本。因此,制定有效的資源管理方案對於實現運營效率和提高彈性至關重要。基於機器學習的解決方案最適合解決這些問題,因為它們可以分析和學習數據。此外,它為解決方案帶來自動化,這在處理雲端範式中的大型分散式系統時是一個重要因素。

雲端管理的機器學習》探討了通過預測建模和虛擬機器配置進行雲端資源管理。預測方法是使用基於回歸的時間序列分析和神經網絡模型開發的。基於神經網絡的模型主要使用進化算法進行訓練,並使用多目標遺傳算法開發高效的虛擬機器配置方案。

主要特點:
- 本書是第一本提出一系列機器學習方法以實現大型分散式雲端網絡中高效資源管理的書籍。
- 預測分析是高效雲端資源管理的不可或缺的一部分,本書為該領域的研究人員提供了未來的研究方向。
- 本書由國際領先的研究人員撰寫。

本書非常適合從事雲端運算領域研究的研究人員。

作者簡介

Jitendra Kumar is an assistant professor in machine learning at the National Institute of Technology Tiruchirappalli, Tamilnadu, India. He obtained his doctorate in 2019 from the National Institute of Technology Kurukshetra, Haryana, India. He is also a recipient of the Director's medal for the first rank in the University examination at Dayalbagh Educational Institute, Agra, Uttar Pradesh in 2011. He has experience of three years in academia. He has published several research papers in international journals and conferences of high repute, including IEEE Transactions on Parallel and Distributed Systems, Information Sciences, Future Generation Computer Systems, Neurocomputing, Soft Computing, Cluster Computing, IEEE-FUZZ, etc. He has also obtained the best paper awards in two international conferences. His research interests are machine learning, cloud computing, healthcare, parallel algorithms, and optimization. He is also a review board member of several journals, including IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Access, Journal and Parallel Distributed Computing, and more.

Ashutosh Kumar Singh is an esteemed researcher and academician in the domain of Electrical and Computer engineering. Currently, he is working as a Professor; Department of Computer Applications; National Institute of Technology; Kurukshetra, India. He has more than 20 years research, teaching and administrative experience in various University systems of the India, UK, Australia and Malaysia. Dr. Singh obtained his Ph. D. degree in Electronics Engineering from Indian Institute of Technology-BHU, India; Post Doc from Department of Computer Science, University of Bristol, United Kingdom and Charted Engineer from United Kingdom. He is the recipient of Japan Society for the Promotion of Science (JSPS) fellowship for visit in University of Tokyo and other universities of Japan. His research area includes Verification, Synthesis, Design and Testing of Digital Circuits, Predictive Data Analytics, Data Security in Cloud, Web Technology. He has more than 250 publications till now which includes peer reviewed journals, books, conferences, book chapters and news magazines in these areas. He has co-authored eight books including ''Web Spam Detection Application using Neural Network'', ''Digital Systems Fundamentals'' and ''Computer System Organization & Architecture''. Prof. Singh has worked as principal investigator/investigator for six sponsored research projects and was a key member on a project from EPSRC (United Kingdom) entitled ''Logic Verification and Synthesis in New Framework''.

Anand Mohan has nearly 44 years of experience in teaching and research and the administration and management of higher educational institutions. He is currently an institute professor in the Department of Electronics Engineering, Indian institute of Technology (BHU), Varanasi, India. Besides his present academic assignment, Prof. Mohan is a Member of the Executive Council of Banaras Hindu University and Vice-Chairman of the Board of Governors of Indian Institute of Technology (BHU), Varanasi, India. Prof. Mohan served as Director (June 2011--June 2016) of the National Institute of Technology (NIT), Kurukshetra, Haryana, India and was also Mentor Director of the National Institute of Technology, Srinagar, Uttarakhand, India. For his outstanding contributions in the field of Electronics Engineering, Prof. Mohan was conferred the ''Lifetime Achievement Award'' (2016) by Kamla Nehru Institute of Technology, Sultanpur, India.

Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft Pty Ltd., a spin-off company of the University, commercialising its innovations in Cloud Computing. He served as a Future Fellow of the Australian Research Council during 2012-2016. He serving/served as Honorary/Visiting Professor for several elite Universities including Imperial College London (UK), University of Birmingham (UK), University of Hyderabad (India), and Tsinghua University (China). He received B.E and M.E in Computer Science and Engineering from Mysore and Bangalore Universities in 1992 and 1995 respectively; and a Doctor of Philosophy (PhD) in Computer Science and Software Engineering from Monash University, Melbourne, Australia in 2002. He was awarded Dharma Ratnakara Memorial Trust Gold Medal in 1992 for his academic excellence at the University of Mysore, India. He received Richard Merwin Award from the IEEE Computer Society (USA) for excellence in academic achievement and professional efforts in 1999. He received Leadership and Service Excellence Awards from the IEEE/ACM International Conference on High Performance Computing in 2000 and 2003. He received ''Research Excellence Awards'' from the University of Melbourne for productive and quality research in
computer science and software engineering in 2005 and 2008.

作者簡介(中文翻譯)

Jitendra Kumar 是印度泰米爾納德邦提魯奇拉帕利國立技術學院的機器學習助理教授。他於2019年在印度哈里亞納邦庫魯克舍特拉國立技術學院獲得博士學位。他還是2011年在印度阿格拉的戴亞爾巴赫教育學院大學考試中獲得第一名的院長獎章得主。他在學術界有三年的經驗,並在多個國際知名期刊和會議上發表了多篇研究論文,包括《IEEE平行與分佈系統期刊》、《資訊科學》、《未來一代計算機系統》、《神經計算》、《軟計算》、《叢集計算》、《IEEE-FUZZ》等。他還在兩個國際會議上獲得最佳論文獎。他的研究興趣包括機器學習、雲計算、醫療保健、平行算法和優化。他還是多個期刊的審稿委員,包括《IEEE計算機期刊》、《IEEE平行與分佈系統期刊》、《IEEE Access》、《平行與分佈計算期刊》等。

Ashutosh Kumar Singh 是電氣與計算機工程領域的著名研究者和學者。目前,他在印度庫魯克舍特拉國立技術學院的計算機應用系任教,擔任教授。他在印度、英國、澳大利亞和馬來西亞的多個大學系統中擁有超過20年的研究、教學和行政經驗。辛格博士在印度理工學院-BHU獲得電子工程博士學位;在英國布里斯托大學計算機科學系獲得博士後學位,並在英國獲得特許工程師資格。他是日本學術振興會(JSPS)獎學金的獲得者,曾訪問東京大學及其他日本大學。他的研究領域包括數位電路的驗證、合成、設計和測試、預測數據分析、雲中的數據安全和網絡技術。他至今已發表超過250篇論文,包括同行評審的期刊、書籍、會議、書籍章節和新聞雜誌。他共同撰寫了八本書籍,包括《使用神經網絡的網絡垃圾郵件檢測應用》、《數位系統基礎》和《計算機系統組織與架構》。辛格教授曾擔任六個贊助研究項目的首席研究員/研究員,並是英國EPSRC項目《新框架中的邏輯驗證與合成》的關鍵成員。

Anand Mohan 在高等教育機構的教學、研究及管理方面擁有近44年的經驗。他目前是印度瓦拉納西印度理工學院(BHU)電子工程系的教授。除了目前的學術職位外,莫漢教授還是班納拉斯印度大學執行委員會成員及印度瓦拉納西印度理工學院董事會副主席。莫漢教授曾於2011年6月至2016年6月擔任印度哈里亞納邦庫魯克舍特拉國立技術學院的院長,並曾擔任印度烏塔拉坎德邦斯利那加國立技術學院的導師院長。因其在電子工程領域的卓越貢獻,莫漢教授於2016年獲得印度卡姆拉·尼赫魯技術學院頒發的「終身成就獎」。

Rajkumar Buyya 是澳大利亞墨爾本大學的紅蒙巴里傑出教授及雲計算與分佈系統(CLOUDS)實驗室主任。他同時擔任墨爾本大學衍生公司Manjrasoft Pty Ltd.的創始執行長,該公司專注於雲計算的創新商業化。他在2012年至2016年間擔任澳大利亞研究委員會的未來研究員。他曾擔任多所頂尖大學的榮譽/訪問教授,包括英國帝國學院倫敦、英國伯明翰大學、印度海德拉巴大學和中國清華大學。他於1992年和1995年分別在邁索爾大學和班加羅爾大學獲得計算機科學與工程的學士和碩士學位;並於2002年在澳大利亞墨爾本的莫納什大學獲得計算機科學與軟體工程的博士學位。他於1992年因在邁索爾大學的學術卓越獲得達摩拉特納卡拉紀念信託金獎。他於1999年獲得IEEE計算機學會(美國)頒發的理查德·梅爾溫獎,以表彰其在學術成就和專業努力方面的卓越表現。他於2000年和2003年獲得IEEE/ACM高效能計算國際會議的領導力和服務卓越獎。他於2005年和2008年獲得墨爾本大學頒發的「研究卓越獎」,以表彰其在計算機科學和軟體工程領域的高產和高品質研究。