EAI/Springer Innovations in Communicationand Computing

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Tanupriya Choudhury • Bhupesh Kumar DewanganRavi Tomar • Bhupesh Kumar SinghTeoh Teik Toe • Nguyen Gia NhuEditors

Autonomic Computing inCloud Resource Managementin Industry 4.0

EditorsTanupriya ChoudhuryDepartment of InformaticsSchool of Computer ScienceUniversity of Petroleum andEnergy Studies (UPES)Dehradun, Uttarakhand, India

Ravi TomarDepartment of InformaticsSchool of Computer ScienceUniversity of Petroleum andEnergy Studies (UPES)Dehradun, Uttarakhand, India

Teoh Teik ToeNanyang Technological University (NTU)Singapore, Singapore

Bhupesh Kumar DewanganDepartment of InformaticsSchool of Computer ScienceUniversity of Petroleum andEnergy Studies (UPES)Dehradun, Uttarakhand, India

Bhupesh Kumar SinghComputing and Software EngineeringArba Minch UniversityArba Minch, Ethiopia

Nguyen Gia NhuDuy Tan UniversityDa Nang, Vietnam

ISSN 2522-8595 ISSN 2522-8609 (electronic)EAI/Springer Innovations in Communication and ComputingISBN 978-3-030-71755-1 ISBN 978-3-030-71756-8 (eBook)https://doi.org/10.1007/978-3-030-71756-8

© Springer Nature Switzerland AG 2021This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part ofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,broadcasting, reproduction on microfilms or in any other physical way, and transmission or informationstorage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodologynow known or hereafter developed.The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoes not imply, even in the absence of a specific statement, that such names are exempt from the relevantprotective laws and regulations and therefore free for general use.The publisher, the authors, and the editors are safe to assume that the advice and information in this bookare believed to be true and accurate at the date of publication. Neither the publisher nor the authors orthe editors give a warranty, expressed or implied, with respect to the material contained herein or for anyerrors or omissions that may have been made. The publisher remains neutral with regard to jurisdictionalclaims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AGThe registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Dr. Tanupriya Choudhury would like todedicate this book to all Corona Warriorsand Indian ARMY, for their dedication,sacrifice, and excellence towards ourmotherland INDIA, and also he would loveto dedicate this book to his parents andin-laws: Sri Mrigendra Choudhury,Smt. Minakshi Choudhury, Sri HemabrataBhowmick, Smt. Debjani Bhowmick and hisbeloved wife Rituparna Choudhury andbeloved Son Rajrup Choudhury (Ritam) fortheir immense support and love throughoutthis work. And also he would like to dedicatethis book to his research guides Prof. (Dr.)Vivek Kumar, Prof. (Dr.) V Cyril Raj, Prof.Sumathy Eswaran, and Dr. Darshika Nigam,who have always mentored him during hisMaster’s and Doctoral research. He wouldlike to thank his uncle Late Girindra MohanChoudhury for his all-time love, blessings,and support and wants to dedicate the bookto his Uncle. He would also like to thank hisuncle(s) Dr. Tapobrata Chowdhury (MBBS),Mr. Bhaskar Das, and Mr. HitabrataChowdhury and brothers Mr. SupriyaChoudhury, and Mr. Debopriya Choudhury,

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who supported whole-heartedly to completethis work. He would like to thank allcolleagues of UPES for their all-time love,blessings, and support and also wants todedicate the book to the UPES researchfraternity.Dr. Bhupesh Kumar Dewangan would like

to dedicate this book to his father ShriSantram Dewangan, a strong person whoalways encouraged and supported to believein himself; his mother Smt. Janki Devi, forbeing his first teacher; his beautiful wifeSanjana Dewangan, a lady who alwaysbehind him whenever he needs; and hischildren Shaurya and Sanvi Dewangan, whoare the motivation of life. And also he wouldlike to dedicate this book to his researchguides Dr. Amit Aggarwal, Dr. AshutoshPasricha, and Dr. Tanupriya Choudhury, whohave always mentored him. He would like tothank all colleagues of UPES for theirall-time love, blessings, and support and alsowants to dedicate the book to the UPESresearch fraternity.Dr. Ravi Tomar would like to dedicate this

book to all Corona Warriors, for theirdedication, sacrifice, and excellence towardsour motherland INDIA, and also he wouldlove to dedicate this book to his father SriRaj Kumar Tomar, and mother Smt. SudeshTomar, his beautiful wife Manu Tomar, andbeloved daughters Kritika and Vedika fortheir immense support and love throughoutthis work. And also he would like to dedicatethis book to his research guides Prof. (Dr.)Manish Prateek, and Dr. Hanumat Sastry G,who have always mentored him. He wouldlike to thank all colleagues of UPES for their

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all-time love, blessings, and support and alsowants to dedicate the book to the UPESresearch fraternity.Dr. Bhupesh Kumar Singh, is extremely

grateful to his wife Kamana and his daughterMahika for their love, prayers, caring, andunderstanding his research work. Also, hewants to express his thanks to his parents andfamily for their support and valuableprayers. His wishes to convey his specialthanks to his mentor Prof. D.P. Sharma, ArbaMinch University, for the keen interest shownto complete this book successfully. He wouldlike to dedicate this book to his parents forall their love and support.Dr. Teoh Teik Toe would like to dedicate

this book to his family.Dr. Nguyen Gia Nhu would like to dedicate

this book to his wife Vu Thi Van Nhung andchildren, Nguyen Vu Minh Thu, and NguyenGia Bao

Joint Foreword

Autonomic computing could be defined as the methodology using which computingsystems can manage themselves. The main objective of autonomic computing is todevelop systems that can self-manage the management complexities arising out ofrapidly growing technologies. Autonomic systems consist of autonomic elementsthat automatically employ policies. Many researchers have focused their researchon this topic with their aim being improved application performance, improvedplatform efficiency, and optimizing resource allocation. The performance of anysystem depends on the effective management of resources. This is particularlysignificant in cloud computing systems which involve management of large numberof virtual machines and physical machines. The editors have done a wonderful jobin collating a variety of chapters from autonomic computing in the perspective ofIndustry 4.0. The editors are successful in presenting a comprehensive view of CRMand its integration with Industry 4.0 concepts. The book facilitates its reader inhaving a valuable understanding of various application areas pertaining to cloud andautonomic computing. Moreover, different issues and challenges in cloud resourcemanagement (CRM) techniques with proper propped solution for IT organizationshas shown here. The recent research in CRM is the evidence of better performancethrough autonomic computing. We truly believe that the book will fit as a good readfor those looking forward to exploring areas of autonomic computing.

HoD and Assistant Professor, Partha ChakrabortyDepartment of CSE, Faculty of Engineering,Comilla University, Comilla, Bangladesh

Professor, Department of CSE, Arba Minch University, Bhupesh Kumar SinghArba Minch, Ethiopia

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Preface

Our next generation of an industry—Industry 4.0—holds the promise ofincreased flexibility in manufacturing, along with automation, better quality, andimproved productivity. It thus enables companies to cope with the challenges ofproducing increasingly individualized products with a short lead time to market andhigher quality. Intelligent cloud services and resource sharing play an importantrole in Industry 4.0 anticipated Fourth Industrial Revolution.

Autonomic Computing is an operating environment that is on demand andresponds to problems, threats, and failures automatically. It provides a computingenvironment that can manage itself and dynamically adapt to change. In a self-managing computing environment, system components such as hardware (desktopcomputers, storage units, and servers) and software (business applications, middle-ware, and operating system) include embedded control loop functionality.

The book will serve the different issues and challenges in cloud resource man-agement (CRM) techniques with proper propped solution for IT organizations. Therecent research in CRM is the evidence of better performance through autonomiccomputing. The book has 21 chapters based on the characteristics of autonomiccomputing with its applicability in CRM. Each chapter presents the techniques andanalysis of each mechanism to make better resource management in the cloud.

Chapter 1 presents an Introduction to Cloud Resource Management. The chapteralso discusses a few prominent use cases for CRM. Chapter 2 talks throughEmerging Paradigms and Practices in Cloud Resource Management. Chapters 3and 4 deal with explaining the role of Autonomic Computing in Cloud and Models

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and Applications. It discusses the benefits and challenges of Autonomic computingalso. Chapters 5, 6, and 7 present a detailed illustration of Issues and Challengesin Autonomic Computing and Resource Management. Chapter 8 is about theClassification of Various Scheduling Approaches for Resource Management Systemin Cloud Computing. Chapter 9 talks through the role of Optimization in AutonomicComputing and Resource Management. Chapter 10 discusses the Framework forAutonomic Resource Management in Cloud Computing Environment. Chapter11 illustrates various reviews on Autonomic Computing on Cloud Computingusing Architecture Adoption Models. Chapter 12 discusses self-protection approachfor cloud computing. Chapter 13 deals with the concept of elastic security forAutonomic Computing using Intelligent Algorithm. Chapter 14 explores the conceptof the architecture of Autonomic Cloud Resource Management. Chapter 15 talksthrough Industry 4.0 through Cloud Resource Management. Chapter 16 presents aWalkthrough in Live Migration Strategies for Energy-Aware Resource Managementin the Cloud. Chapter 17 discusses Virtual Machine Scaling in autonomic CloudResource Management. Chapter 18 explores autonomic Resource Management ina Cloud-Based Infrastructure Environment. Chapter 19 talks through the digitaldimensions of Industry 4.0: Opportunities for Autonomic Computing. Chapter20 explores the area of security concept in the form of a Study of ResourceManagement and Security-Based Techniques in Autonomic Cloud Computing.

We hope that our efforts are appreciated and the reader benefits from this book.

Dehradun, India Tanupriya Choudhury

Dehradun, India Bhupesh Kumar Dewangan

Dehradun, India Ravi Tomar

Arba Minch, Ethiopia Bhupesh Kumar Singh

Singapore, Singapore Teoh Teik Toe

Da Nang, Vietnam Nguyen Gia Nhu

Acknowledgment

Dr. Tanupriya Choudhury, Dr. Bhupesh Kumar Dewangan, and Dr. Ravi Tomarwould like to thank their workplace, University of Petroleum and Energy Studies,Dehradun, India, for giving a positive research environment to start this proposal.They would like to thank all contributors from ten different countries and speciallyreviewers throughout the globe who helped to review the chapters to maintain thequality of the book and for their valuable suggestions whenever required. They arealso thankful to the senior leadership of the University of Petroleum and EnergyStudies (UPES) and administration for giving the opportunity to hold ACCRMI2020 and providing with all possible support. They are thankful to Shri SharadMehra, CEO, GUS-Asia, for his “all-time-go-ahead” blessings and freedom of workand Shri Dr. S. J. Chopra, Chancellor UPES, for his blessings and guidance asalways. Honorable Vice-Chancellor Dr. Sunil Rai has been a continuous supportas a torchbearer to us, big thanks to you Sir for your mentorship. Not to mention theinstrumental personality, Prof.(Dr.) Priyadarshan Patra, Dean School of ComputerScience, UPES, and Prof. (Dr.) T. P. Singh, HoD-Informatics, UPES, have been arock solid support behind everything, thank you so very much Sirs. They wouldalso thank their colleagues and friends for all time support, specially Mr. ParthaChakraborty from HoD CSE, Comilla University Bangladesh, Dr. Durga PrasadSharma and Dr. Bhupesh Kumar Singh from AMU Ethiopia, and Dr. PraveenKumar from Amity University Tashkent for moral and technical support as alwayswhenever required. They would like to thank everyone enough for their involvementand their willingness to take on the completion of tasks beyond their comfort zones.See you all in the next edition of the book.

Dr. Bhupesh Kumar Singh would like to thank God, the Almighty, for His show-ers of blessings throughout his research work to complete the book successfully.He is highly grateful to all the authors from all parts of the world for contributingtheir research work for this book. He would like to say thanks to his friends andresearch colleagues Prof. D. P. Sharma, Dr. Tanupriya Choudhury, and Mr. AminTuni for their constant encouragement. He is extending his thanks to the Universityfor their support during his research work. He would also like to thank all the staffof Research section of Arba Minch University for their kindness. He would like

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xiv Acknowledgment

to thank the management of Arba Minch University for their support to do thiswork. Finally, he would like to acknowledge all those who contributed directly orindirectly to complete this book.

Dr. Teoh Teik Toe would like to thank his family for all time support.Dr. Nguyen Gia Nhu wishes to thank various people for their contribution to this

project. He would like to deeply thank his wife, Vu Thi Van Nhung.

Contents

Introduction to Cloud Resource Management . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1G. Sobers Smiles David, K. Ramkumar, P. Shanmugavadivu,and P. S. Eliahim Jeevaraj

Emerging Paradigms and Practices in Cloud Resource Management . . . . . 17Durga Prasad Sharma, Bhupesh Kumar Singh, Amin Tuni Gure,and Tanupriya Choudhury

Autonomic Computing in Cloud: Model and Applications . . . . . . . . . . . . . . . . . . 41G. Sobers Smiles David, K. Ramkumar, P. Shanmugavadivu,and P. S. Eliahim Jeevaraj

Autonomic Computing: Models, Applications, and Brokerage . . . . . . . . . . . . . 59Durga Prasad Sharma, Bhupesh Kumar Singh, Amin Tuni Gure,and Tanupriya Choudhury

Issues and Challenges in Autonomic Computing and ResourceManagement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91G. Sobers Smiles David, T. Hemanth, Pethuru Raj,and P. S. Eliahim Jeevaraj

A Holistic Approach: Issues and Challenges in AutonomicComputation Toward Industry 4.0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111A. Gautami and Naveenbalaji Gowthaman

Resource Management Issues and Challenges in AutonomicComputing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123Palak Gupta, Sudhansu Shekhar Patra, Mahendra Kumar Gourisaria,Aleena Mishra, and Nitin S. Goje

Classification of Various Scheduling Approaches for ResourceManagement System in Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149Ajay Jangra, Neeraj Mangla, Anurag Jain, Bhupesh Kumar Dewangan,and Thinagaran Perumal

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Optimization in Autonomic Computing and Resource Management . . . . . . 159Iqura Khan, Alpana Meena, Prashant Richhariya,and Bhupesh Kumar Dewangan

A Proposed Framework for Autonomic Resource Managementin Cloud Computing Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177Monika Mangla, Sanjivani Deokar, Rakhi Akhare, and Mehdi Gheisari

Autonomic Computing on Cloud Computing Using ArchitectureAdoption Models: An Empirical Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195R. S. M. Patibandla, V. Lakshman Narayana, and Arepalli Peda Gopi

Self-Protection Approach for Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213Rishabh Malhotra, Bhupesh Kumar Dewangan, Partha Chakraborty,and Tanupriya Choudhury

Elastic Security for Autonomic Computing Using Intelligent Algorithm . . 229Amar Buchade, Rajesh Ingle, and Vidyasagar Potdar

The Architecture of Autonomic Cloud Resource Management . . . . . . . . . . . . . 247Poorva Shukla, Prashant Richhariya, Bhupesh Kumar Dewangan,Tanupriya Choudhury, and Jung-Sup Um

Towards Industry 4.0 Through Cloud Resource Management . . . . . . . . . . . . . 263Minakshi Sharma, Rajneesh Kumar, Anurag Jain,Bhupesh Kumar Dewangan, Jung-Sup Um, and Tanupriya Choudhury

A Walkthrough in Live Migration Strategies for Energy-AwareResource Management in Cloud . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283Neha Gupta, Kamali Gupta, Meenu Khurana, Deepali Gupta, Anurag Jain,and Bhupesh Kumar Dewangan

Virtual Machine Scaling in Autonomic Cloud Resource Management . . . . 301Avita Katal, Vitesh Sethi, and Saksham Lamba

Autonomic Resource Management in a Cloud-BasedInfrastructure Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325Bhupesh Kumar Singh, Mohammad Danish, Tanupriya Choudhury,and Durga Prasad Sharma

Digital Dimensions of Industry 4.0: Opportunities for AutonomicComputing and Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347Neha Sharma, Madhavi Shamkuwar, and Preeti Ramdasi

A Study of Resource Management and Security-BasedTechniques in Autonomic Cloud Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385Neha Agrawal, Rohit Kumar, and Pankaj Kumar Mishra

Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397