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Swarm Intelligence for Cloud Computing PDF

219 Pages·2020·6.69 MB·English
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Edited by Indrajit Pan, Mohamed Abd Elaziz, and Siddhartha Bhattacharyya Swarm Intelligence for Cloud Computing Taylor & Francis Taylor & Francis Group http://taylorandfrancis.com Swarm Intelligence for Cloud Computing Edited by Indrajit Pan Department of Information Technology, RCC Institute of Information Technology, India Mohamed Abd Elaziz Department of Mathematics, Zagazig University, Egypt Siddhartha Bhattacharyya Department of Computer Science and Engineering, CHRIST (Deemed to be University), India Firsteditionpublished2021 byCRCPress 6000BrokenSoundParkwayNW,Suite300,BocaRaton,FL33487-2742 andbyCRCPress 2ParkSquare,MiltonPark,Abingdon,Oxon,OX144RN (cid:13)c 2021Taylor&FrancisGroup,LLC CRCPressisanimprintofTaylor&FrancisGroup,LLC Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequencesoftheiruse.Theauthorsandpublishershaveattemptedtotracethecopyright holdersofallmaterialreproducedinthispublicationandapologizetocopyrightholdersif permissiontopublishinthisformhasnotbeenobtained.Ifanycopyrightmaterialhasnot beenacknowledgedpleasewriteandletusknowsowemayrectifyinanyfuturereprint. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission fromthepublishers. For permission to photocopy or use material electronically from this work, access www.copyright.comorcontacttheCopyrightClearanceCenter,Inc.(CCC),222Rosewood Drive,Danvers,MA01923,978-750-8400.ForworksthatarenotavailableonCCCplease [email protected] Trademark notice: Product or corporate names may be trademarks or registered trade- marks,andareusedonlyforidentificationandexplanationwithoutintenttoinfringe. ISBN:978-0-367-03055-1(hbk) ISBN:978-0-429-02058-2(ebk) TypesetinPalatino bycodeMantra Indrajit Pan would like to dedicate this book to his friends of Friend-o-Mania group, Manash Sinharoy, Avijit Das, Palash Kumar Ghosh, David Thomas and Ratan Biswas, for their unconditional support as and when needed as an extended family members and part of an emphatic support system. Mohamed Abd Elaziz would like to dedicate this book to his family and Rehab Ali for supporting him and giving more motivation in his life. Siddhartha Bhattacharyya would like to dedicate this book to his father Late Ajit Kumar Bhattacharyya, his mother Late Hashi Bhattacharyya, his beloved wife Rashni and his research scholars Sourav, Sandip, Pankaj, Hrishikesh, Debanjan, Koyel, Alokananda, and Tulika. Taylor & Francis Taylor & Francis Group http://taylorandfrancis.com Contents Preface ix Editors xiii Contributors xvii 1 A Survey of Swarm Intelligence for Task Scheduling 1 in Cloud Computing Ahmed A. Ewees, Neggaz Nabil, Rehab A. Ibrahim, and Rania M. ELEraky 2 Techniques for Resource Sharing in Cloud 39 Computing Platform B.L. Radhakrishnan, S. Sudhakar, R.V. Belfin, P. Karthikeyan, E. Kirubakaran, and K. Martin Sagayam 3 Swarm Intelligent Techniques for Cloud Service 73 Provider Selection in a Multi-cloud Environment Amany M. Mohamed and Hisham M. Abdelsalam 4 Reliable Data Auditing and ACO-Based 107 Resource Scheduling for Cloud Services Soumitra Sasmal and Indrajit Pan 5 TS-GWO: IoT Tasks Scheduling in Cloud 127 Computing Using Grey Wolf Optimizer Laith Abualigah, Mohammad Shehab, Mohammad Alshinwan, Hamzeh Alabool, Hayfa Y. Abuaddous, Ahmad M. Khasawneh, and Mofleh Al Diabat 6 Fact-Checking: Application-Awareness in 153 Data Centre Resource Management Aaqif Afzaal Abbasi, Almas Abbasi, Mohammed A. A. Al-qaness, Ammar Hawbani, Ahmed A. Ewees, and Yousif A. Alhaj 7 Bio-inspiredOptimizationAlgorithmsforMulti-objective 165 Task Scheduling in Cloud Computing Systems A. S. Ajeena Beegom and M. S. Rajasree Index 187 vii Taylor & Francis Taylor & Francis Group http://taylorandfrancis.com Preface CloudcomputingisanewlydevelopedplatformforprovidingITservices.Like the subscribers of traditional utility services, subscribers of cloud computing pay only for the services and resources that they use. Major IT companies, suchasAmazon,Google,andMicrosoft,arecurrentlyprovidingcloudservices and resources. These companies consider cloud computing as the future of IT operations. Subscribers do not have to build or maintain their own IT infras- tructures. Cloud computing allows subscribers to rapidly and inexpensively re-provision IT resources for various needs. Due to flexibility, security, availability, scalability and affordability, cloud computinghasbeguntoattracttheattentionofITstakeholders.Thefeatures provided by cloud computing are extremely beneficial for small organizations thatlackfundingtomaintaintheirowninfrastructure.Nowadays,manyorga- nizationsareleaningtowardthisnewtechnologyforvariousIT-relatedinfras- tructural and application needs. So far, cloud computing has been explored uptoanextentofitsinfrastructuralandsecurity-relatedknowhow;However, a wide scope remains for the research. Primitive technological development needs to be augmented with high- end intelligent approaches so that the cloud setup becomes more robust and efficient. People are still concerned about its sustainability and stability of infrastructure and security of services and data over the cloud. Since it is run over a distributed platform, many complexities and constraints have to be considered at practical level implementation. Thisbookwillpresentsomestate-of-the-artresearchinvolvingswarmand hybrid swarm intelligence for cloud security, reliability, and infrastructural stability. Security-related task will focus on public auditing of data and ser- vices.Infrastructuraldevelopmentwillbefocusedonvariousaspectsliketask scheduling,virtualmachineallocation,loadbalancingandoptimization,dead- linehandling,power-awareprofiling,faultresilience,costeffectivedesign,and energy efficiency. Inthelastfewdecades,anovelbranchofintelligentcomputationalgorithm has been inspired by a swarm intelligence theory that imitates the behavior of animals. These algorithms are successfully applied to solve many kinds of simple and complex problems in several fields such as optimization problems, pattern recognition, image processing, features section, and task scheduling in cloud and parallel computing. Cloud computing has become the preferred environment for several companies. Moreover, it has helped several compa- nies to overcome many server issues by utilizing their characteristics such as ix

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