Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications PDF
Preview Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications
Marcello Trovati · Richard Hill Ashiq Anjum · Shao Ying Zhu Lu Liu Editors Big-Data Analytics and Cloud Computing Theory, Algorithms and Applications Big-Data Analytics and Cloud Computing Marcello Trovati • Richard Hill (cid:129) Ashiq Anjum Shao Ying Zhu (cid:129) Lu Liu Editors Big-Data Analytics and Cloud Computing Theory, Algorithms and Applications 123 Editors MarcelloTrovati RichardHill DepartmentofComputing DepartmentofComputing andMathematics andMathematics UniversityofDerby UniversityofDerby Derby,UK Derby,UK AshiqAnjum ShaoYingZhu DepartmentofComputing DepartmentofComputing andMathematics andMathematics UniversityofDerby UniversityofDerby Derby,UK Derby,UK LuLiu DepartmentofComputing andMathematics UniversityofDerby Derby,UK ISBN978-3-319-25311-4 ISBN978-3-319-25313-8 (eBook) DOI10.1007/978-3-319-25313-8 LibraryofCongressControlNumber:2015958882 SpringerChamHeidelbergNewYorkDordrechtLondon ©SpringerInternationalPublishingSwitzerland2015 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbook arebelievedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsor theeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinorforany errorsoromissionsthatmayhavebeenmade. Printedonacid-freepaper SpringerInternational PublishingAGSwitzerlandispartofSpringerScience+Business Media(www. springer.com) Foreword Among developments that have led to the domain of cloud computing, we may considerthefollowing.Veryoften,theworkplaceisnowdistributedandpotentially evenglobal.Next,thereis theever-increasinguse beingmadeof background‘big data’.When data is producedin realtime anddynamicallyevolving,then a cloud platform is highly beneficial. Next comes the wide range of platforms used for access and use of data and information. In this picture, mobile and networked platformsareprominent.Sotooarethevariedaspectsofpervasiveandubiquitous computingandsystems. Cloud platforms are the foundationsfor our physical and virtual environments that are empowered increasingly by the Internet of Things. That is, the general progressionthatenablessmartercitiesandotherrelateddevelopments.Amongthese alsoarethesmartworkplaceandthesmartlearningenvironment. Thisbookcollectstogethermanydiscussionandresearchtopicsrelatingtocloud services,technologiesanddeployments.Includedarecloudserviceprovision,inte- grationwithadvancedinteractivityandcloud-basedarchitecturesfortheprovision oflarge-scaleanalytics.Sustainabilityplaysacrucialrole,especiallyinrelationto data centres, data grids and other layers of middleware that can be central parts ofourcomputeenvironmentanddataclouds.Thefollowinginspirationalquotation wasvoicedbyChristianBelady,GeneralManager,DataCenterServices,Microsoft: ‘Dataisreallythenextformofenergy::: Iviewdataasjustamoreprocessedform ofenergy’. Thecontributionsinthisbookaimatkeepingonefullyabreastofthesebigdata and closely related developments.Even more rewarding is to be actively engaged insuchtechnologicalprogress.Itcanwellbethecasethatdividinglineseffectively disappearinregardtouserandsupplierandproducerandconsumer,wherethelatter becomestheprosumer. The readercan enjoy this book’scontents, and draw inspirationand benefit, in ordertobepartoftheseexcitingdevelopments. BigDataLaboratory ProfessorFionnMurtagh UniversityofDerby,UK August2015 v Preface Overview andGoals Data is being created around us at an increased rate, in a multitude of forms and types.Mostoftheadvancesinallthescientificdisciplinesthathaveoccurredover thelastdecadehavebeenbasedontheextraction,managementandassessmentof informationto providecutting-edgeintelligence.This, in turn,has acceleratedthe need,aswellastheproductionoflargeamountsofdata,otherwisereferredtoasbig data. Due to the diverse nature of big data, there is a constant need to develop, test and apply theoreticalconcepts, techniquesand tools, to successfully combine multidisciplinary approaches to address such a challenge. As such, theory is continuously evolving to provide the necessary tools to enable the extraction of relevantandaccurateinformation,tofacilitateafullermanagementandassessment ofbigdata. As a consequence, the current academic, R&D and professional environments require an ability to access the latest algorithms and theoretical advance in big datascience,toenabletheutilisationofthemostappropriateapproachestoaddress challengesinthisfield. Big-DataAnalyticsandCloudComputing:Theory,AlgorithmsandApplications presents a series of leading edge articles that discuss and explore theoretical concepts,principles,tools,techniquesanddeploymentmodelsinthecontextofBig Data. Keyobjectivesforthisbookinclude: (cid:129) Capturingthestateoftheartinarchitecturalapproachestotheprovisionofcloud- basedbigdataanalyticsfunctions (cid:129) Identifyingpotentialresearchdirectionsand technologiesto facilitate the reali- sationofemergingbusinessmodelsthroughbigdataapproaches (cid:129) Providing relevant theoretical frameworks and the latest empirical research findings vii viii Preface (cid:129) Discussing real-worldapplicationsof algorithmsand techniquesto address the challengesofbigdata-sets (cid:129) Advancingunderstandingofthefieldofbigdatawithincloudenvironments OrganisationandFeatures Thisbookisorganisedintotwoparts: (cid:129) PartIreferstothetheoreticalaspectsofbigdata,predictiveanalyticsandcloud- basedarchitectures. (cid:129) PartIIdiscussesapplicationsandimplementationsthatutilisebigdata incloud architectures. TargetAudiences We have written this book to supporta numberof potentialaudiences. Enterprise architectsand businessanalystswill bothhavea needto understandhow bigdata can impact upon their work, by considering the potential benefits and constraints made possible by adopting architectures that can support the analysis of massive volumesofdata. Similarly,businessleadersandIT infrastructuremanagerswillhaveadesireto appreciate where cloud computingcan facilitate the opportunitiesaffordedby big data analytics, both in terms of realising previously hidden insight and assisting criticaldecision-makingwithregardtoinfrastructure. Thoseinvolvedinsystemdesignandimplementationasapplicationdevelopers will observe how the adoption of architectures that support cloud computing can positivelyaffectthemeansbywhichcustomersaresatisfiedthroughtheapplication ofbigdataanalytics. Finally,asacollectionofthelatesttheoretical,practicalandevaluativeworkin thefieldofbigdataanalytics,weanticipatethatthisbookwillbeofdirectinterest toresearchersandalsouniversityinstructorsforadoptionasacoursetextbook. Suggested Uses Big-DataAnalyticsandCloudComputingcanbeusedasanintroductiontothetopic ofbigdatawithincloudenvironments,andassuchthereaderisadvisedtoconsult PartIforathoroughoverviewofthefundamentalconceptsandrelevanttheories. PartIIillustratesbywayofapplicationcasestudies,real-worldimplementations ofscenariosthatutilisebigdatatoprovidevalue. Preface ix Readerscanusethebookasa‘primer’iftheyhavenopriorknowledgeandthen consultindividualchaptersat will as a reference text. Alternatively,for university instructors, we suggest the following programme of study for a twelve-week semesterformat: (cid:129) Week1:Introduction (cid:129) Weeks2–5:PartI (cid:129) Weeks5–11:PartII (cid:129) Week12:Assessment Instructors are encouraged to make use of the various case studies within the booktoprovidethestartingpointforseminarortutorialdiscussionsandasameans ofsummativelyassessinglearnersattheendofthecourse. Derby,UK MarcelloTrovati RichardHill AshiqAnjum ShaoYingZhu LuLiu
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