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334 Pages·2016·14.98 MB·English
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Managing Big Data in Cloud Computing Environments Zongmin Ma Nanjing University of Aeronautics and Astronautics, China A volume in the Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series Published in the United States of America by Information Science Reference (an imprint of IGI Global) 701 E. Chocolate Avenue Hershey PA, USA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: [email protected] Web site: http://www.igi-global.com Copyright © 2016 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher. Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark. Library of Congress Cataloging-in-Publication Data Names: Ma, Zongmin, 1965- editor. Title: Managing big data in cloud computing environments / Zongmin Ma, editor. Description: Hershey, PA : Information Science Reference, [2016] | Includes bibliographical references and index. Identifiers: LCCN 2015046880| ISBN 9781466698345 (hardcover) | ISBN 9781466698352 (ebook) Subjects: LCSH: Cloud computing. | Big data. Classification: LCC QA76.585 .M356 2016 | DDC 004.67/82--dc23 LC record available at http://lccn.loc.gov/2015046880 This book is published in the IGI Global book series Advances in Systems Analysis, Software Engineering, and High Perfor- mance Computing (ASASEHPC) (ISSN: 2327-3453; eISSN: 2327-3461) British Cataloguing in Publication Data A Cataloguing in Publication record for this book is available from the British Library. All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the authors, but not necessarily of the publisher. For electronic access to this publication, please contact: [email protected]. Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series Vijayan Sugumaran Oakland University, USA ISSN: 2327-3453 EISSN: 2327-3461 Mission The theory and practice of computing applications and distributed systems has emerged as one of the key areas of research driving innovations in business, engineering, and science. The fields of software engineering, systems analysis, and high performance computing offer a wide range of applications and solutions in solving computational problems for any modern organization. The Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series brings together research in the areas of distributed computing, systems and software engineering, high performance computing, and service science. This collection of publications is useful for academics, researchers, and practitioners seeking the latest practices and knowledge in this field. Coverage • Engineering Environments • Performance Modelling IGI Global is currently accepting manuscripts • Virtual Data Systems for publication within this series. To submit a pro- • Parallel Architectures posal for a volume in this series, please contact our • Computer Networking Acquisition Editors at [email protected] • Metadata and Semantic Web or visit: http://www.igi-global.com/publish/. • Storage Systems • Distributed Cloud Computing • Network Management • Software Engineering The Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series (ISSN 2327-3453) is published by IGI Global, 701 E. Chocolate Avenue, Hershey, PA 17033-1240, USA, www.igi-global.com. This series is composed of titles available for purchase individually; each title is edited to be contextually exclusive from any other title within the series. For pricing and ordering information please visit http://www.igi-global.com/book-series/advances-systems-analysis-software-engineering/73689. Postmaster: Send all address changes to above address. Copyright © 2016 IGI Global. All rights, including translation in other languages reserved by the publisher. No part of this series may be reproduced or used in any form or by any means – graphics, electronic, or mechanical, including photocopying, recording, taping, or information and retrieval systems – without written permission from the publisher, except for non commercial, educational use, including classroom teaching purposes. The views expressed in this series are those of the authors, but not necessarily of IGI Global. Titles in this Series For a list of additional titles in this series, please visit: www.igi-global.com Emerging Research Surrounding Power Consumption and Performance Issues in Utility Computing Ganesh Chandra Deka (Regional Vocational Training Institute (RVTI) for Women, India) G.M. Siddesh (M S Ramaiah Institute of Technology, Bangalore, India) K. G. Srinivasa (M S Ramaiah Institute of Technology, Ban- galore, India) and L.M. Patnaik (IISc, Bangalore, India) Information Science Reference • copyright 2016 • 460pp • H/C (ISBN: 9781466688537) • US $215.00 (our price) Advanced Research on Cloud Computing Design and Applications Shadi Aljawarneh (Jordan University of Science and Technology, Jordan) Information Science Reference • copyright 2015 • 388pp • H/C (ISBN: 9781466686762) • US $205.00 (our price) Handbook of Research on Computational Simulation and Modeling in Engineering Francisco Miranda (Instituto Politécnico de Viana do Castelo and CIDMA of University of Aveiro, Portugal) and Carlos Abreu (Instituto Politécnico de Viana do Castelo, Portugal) Engineering Science Reference • copyright 2016 • 824pp • H/C (ISBN: 9781466688230) • US $420.00 (our price) Intelligent Applications for Heterogeneous System Modeling and Design Kandarpa Kumar Sarma (Gauhati University, India) Manash Pratim Sarma (Gauhati University, India) and Mous- mita Sarma (SpeecHWareNet (I) Pvt. Ltd, India) Information Science Reference • copyright 2015 • 407pp • H/C (ISBN: 9781466684935) • US $255.00 (our price) Achieving Enterprise Agility through Innovative Software Development Amitoj Singh (Chitkara University, Punjab, India) Information Science Reference • copyright 2015 • 349pp • H/C (ISBN: 9781466685109) • US $225.00 (our price) Delivery and Adoption of Cloud Computing Services in Contemporary Organizations Victor Chang (Computing, Creative Technologies and Engineering, Leeds Beckett University, UK) Robert John Walters (Electronics and Computer Science, University of Southampton, UK) and Gary Wills (Electronics and Computer Science, University of Southampton, UK) Information Science Reference • copyright 2015 • 519pp • H/C (ISBN: 9781466682108) • US $225.00 (our price) Emerging Research in Cloud Distributed Computing Systems Susmit Bagchi (Gyeongsang National University, South Korea) Information Science Reference • copyright 2015 • 446pp • H/C (ISBN: 9781466682139) • US $200.00 (our price) 701 E. Chocolate Ave., Hershey, PA 17033 Order online at www.igi-global.com or call 717-533-8845 x100 To place a standing order for titles released in this series, contact: [email protected] Mon-Fri 8:00 am - 5:00 pm (est) or fax 24 hours a day 717-533-8661 Editorial Advisory Board RedaAlhajj,University of Calgary, Canada Wen-ChenHu,University of North Dakota, USA SanggilKang,Inha University, Korea  Table of Contents Preface.................................................................................................................................................xiii Acknowledgment...............................................................................................................................xvii Section 1 Foundational Issues in Big Data Management in Cloud Computing Environments Chapter 1 ChallengesandOpportunitiesinBigDataProcessing...........................................................................1 Jaroslav Pokorny, Charles University, Czech Republic Bela Stantic, Griffith University, Australia Chapter 2 ACloud-AwareDistributedObjectStorageSystemtoRetrieveLargeDataviaHTML5-Enabled WebBrowsers.......................................................................................................................................25 Ahmet Artu Yıldırım, Utah State University, USA Dan Watson, Utah State University, USA Chapter 3 SecurityinCloudofThings(CoT).......................................................................................................46 Bashar Alohali, Liverpool John Moores University, UK Chapter 4 CCCE:CryptographicCloudComputingEnvironmentBasedOnQuantumComputations...............71 Omer K. Jasim, Al-Ma’arif University College, Iraq Safia Abbas, Ain Shams University, Egypt El-Sayed M. El-Horbaty, Ain Shams University, Egypt Abdel-Badeeh M. Salem, Ain Shams University, Egypt Chapter 5 HandlingCriticalIssuesofBigDataonCloud..................................................................................100 Madhavi Vaidya, VES College, India    Section 2 Managing Big Data of Special Types in Cloud Computing Environments Chapter 6 ModelingandIndexingSpatiotemporalTrajectoryDatainNon-RelationalDatabases.....................133 Berkay Aydin, Georgia State University, USA Vijay Akkineni, Georgia State University, USA Rafal A Angryk, Georgia State University, USA Chapter 7 ParallelQueriesofCluster-BasedkNearestNeighborinMapReduce..............................................163 Wei Yan, Liaoning University, China Chapter 8 KnowledgeasaServiceFrameworkforCollaborativeDataManagementinCloudEnvironments- DisasterDomain..................................................................................................................................183 Katarina Grolinger, Western University, Canada Emna Mezghani, Université de Toulouse, France Miriam A. M. Capretz, Western University, Canada Ernesto Exposito, Université de Toulouse, France Chapter 9 AReviewofRDFStorageinNoSQLDatabases................................................................................210 Zongmin Ma, Nanjing University of Aeronautics and Astronautics, China Li Yan, Nanjing University of Aeronautics and Astronautics, China Section 3 Two Application Scenarios of Big Data Management in Cloud Computing Environments Chapter 10 TheAttitudesofChineseOrganizationsTowardsCloudComputing:AnExploratoryStudy...........231 Tomayess Issa, Curtin University, Australia Yuchao Duan, Curtin University, Australia Theodora Issa, Curtin University, Australia Vanessa Chang, Curtin University, Australia Chapter 11 GreenandEnergy-EfficientComputingArchitectureforE-Learning................................................252 K. Palanivel, Pondicherry University, India S Kuppuswami, Kongu Engineering College, India Compilation of References...............................................................................................................278 About the Contributors....................................................................................................................306 Index...................................................................................................................................................312 Detailed Table of Contents Preface.................................................................................................................................................xiii Acknowledgment...............................................................................................................................xvii Section 1 Foundational Issues in Big Data Management in Cloud Computing Environments Chapter 1 ChallengesandOpportunitiesinBigDataProcessing...........................................................................1 Jaroslav Pokorny, Charles University, Czech Republic Bela Stantic, Griffith University, Australia ThedevelopmentandextensiveuseofhighlydistributedandscalablesystemstoprocessBigDatahave beenwidelyconsidered.Newdatamanagementarchitectures,e.g.distributedfilesystemsandNoSQL databases,areusedinthiscontext.However,featuresofBigDataliketheircomplexityanddataanalytics demandsindicatethattheseconceptssolveBigDataproblemsonlypartially.Adevelopmentofsocalled NewSQLdatabasesishighlyrelevantandevenspecialcategoryofBigDataManagementSystemsis considered.InthisworkwewilldiscussthesetrendsandevaluatesomecurrentapproachestoBigData processing,identifythecurrentchallenges,andsuggestpossibleresearchdirections. Chapter 2 ACloud-AwareDistributedObjectStorageSystemtoRetrieveLargeDataviaHTML5-Enabled WebBrowsers.......................................................................................................................................25 Ahmet Artu Yıldırım, Utah State University, USA Dan Watson, Utah State University, USA MajorInternetservicesarerequiredtoprocessatremendousamountofdataatrealtime.Asweputthese servicesunderthemagnifyingglass,It’sseenthatdistributedobjectstoragesystemsplayanimportant roleatback-endinachievingthissuccess.Inthischapter,overallinformationofthecurrentstate-of –the-artstoragesystemsaregivenwhichareusedforreliable,highperformanceandscalablestorage needsindatacentersandcloud.Then,anexperimentaldistributedobjectstoragesystem(CADOS)is introducedforretrievinglargedata,suchashundredsofmegabytes,efficientlythroughHTML5-enabled webbrowsersoverbigdata–terabytesofdata–incloudinfrastructure.Theobjectiveofthesystemisto minimizelatencyandproposeascalablestoragesystemonthecloudusingathinRESTfulwebservice andmodernHTML5capabilities.    Chapter 3 SecurityinCloudofThings(CoT).......................................................................................................46 Bashar Alohali, Liverpool John Moores University, UK WithIoTera,developmentraisesseveralsignificantresearchquestionsintermsofsystemarchitecture, designandimprovement.Forexample;therequirementofvirtualresourceutilizationandstorage capacitynecessitatesmakingIoTapplicationssmarter;therefore,integratetheIoTconceptwithcloud computingwillplayanimportantrole.ThisiscrucialbecauseofverylargeamountsofdatathatIoTis expectedtogenerate.TheCloudofThings(CoT)isusedtoconnectheterogeneousphysicalthingsto thevirtualdomainofthecloud.Despiteitsnumerousadvantages,therearemanyresearchchallenges withutilizationofCoTthatneedsadditionalconsideration.Theseincludehighcomplexity,efficiency, improvingreliability,andsecurity.ThischapterintroducesCoT,itsfeatures,theapplicationsthatuse CoT.CoT,likeallothernetworkedfunctions,isvulnerabletosecurityattacks.ThesecurityrisksforCoT arelistedanddescribed.ThesecurityrequirementsforCoTareidentifiedandsolutionsareproposedto addressthevariousattacksonCoTanditscomponents. Chapter 4 CCCE:CryptographicCloudComputingEnvironmentBasedOnQuantumComputations...............71 Omer K. Jasim, Al-Ma’arif University College, Iraq Safia Abbas, Ain Shams University, Egypt El-Sayed M. El-Horbaty, Ain Shams University, Egypt Abdel-Badeeh M. Salem, Ain Shams University, Egypt Cloudcomputingtechnologyisamodernemergingtrendinthedistributedcomputingtechnologythatis rapidlygainingpopularityinnetworkcommunicationfield.Despitetheadvantagesthatthecloudplatforms bolstered,itsuffersfrommanysecurityissuessuchassecurecommunication,consumerauthentication, andintrusioncausedbyattacks.Thesesecurityissuesrelevanttocustomerdatafilteringandlostthe connectionatanytime.Inordertoaddresstheseissues,thischapter,introducesaninnovativecloud computingcryptographicenvironment,thatentailsbothQuantumCryptography-as-serviceandQuantum AdvancedEncryptionStandard.CCCEposesmoresecuredatatransmissionchannelsbyprovisioning secretkeyamongcloud’sinstancesandconsumers.Inaddition,theQCaaSsolvesthekeygeneration andkeydistributionproblemsthatemergedthroughtheonlinenegotiationbetweenthecommunication parties.ItisimportanttonotethattheCCCEsolvesthedistancelimitationcoverageproblemthatis stemmedfromthequantumstateproperty. Chapter 5 HandlingCriticalIssuesofBigDataonCloud..................................................................................100 Madhavi Vaidya, VES College, India BigDataisdrivingradicalchangesintraditionaldataanalysisplatforms.Toperformanykindofanalysis onsuchvoluminousandcomplexdata,scalingupthehardwareplatformsbecomesimpending.Withthe entirebuzzsurroundingBigData;itisbeingcollectedatanunprecedentedscale.BigDatahaspotential torevolutionizemuchmorethanjustresearch.Loadinglargedata-setsisoftenachallenge.Another shiftofthisBigDataprocessingisthemovetowardscloudcomputing.Asmanycommunitiesbegin torelyoncloudbaseddatamanagement,largeshareddatagoesupextensively.Analysisofsuchlarge dataondistributedprocessingsystemorcloudisabitdifficulttasktohandle.Theaimofthischapteris

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