Product Line Architecture for Automatic Evolution of Multi-Tenant Applications
Abstract
Cloud computing is becoming the predominant mechanism to seamlessly deploy applications with special requirements such as massive storage sharing or load balancing, usually provided as services by cloud platforms. A developer can improve the application’s delivery and productivity by following a multi tenancy approach, where variants of the same application can be quickly customized to the necessities of each tenant. However, managing the inherent variability existing in multitenant applications and, even more importantly, managing the evolution of a multi-tenant application with hundreds of tenants and thousands of different valid architectural configurations can become intractable if performed manually. In this paper we propose a product line architecture approach in which: (1) we use cardinality-based variability models to model each tenant as a clonable feature, (2) we automate the process of evolving the multi-tenant application architecture, and (3) we demonstrate that the implemented process is correct and efficient for a high number of tenants in a reasonable time. We use a running case study in the domain of medical software.
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20/10/2016 IEEEXploreDocumentProductLineArchitectureforAutomaticEvolutionofMultiTenantApplications http://ieeexplore.ieee.org/document/7579384/ 1/3 SignOut Accessprovidedby: UniversidaddeMalaga IEEE.org IEEEXploreDigitalLibrary |IEEESA |IEEESpectrum |MoreSites | Cart(0) CreateAccount |PersonalSignIn | BrowseConferences>EnterpriseDistributedObject... ProductLineArchitectureforAutomaticEvolutionof MultiTenantApplications ViewDocument RelatedArticles Virtual Machine BasedEnergy EfficientData Cente... Integral Federated Identity Management forCloud... Astatistical based resource allocation schemein... 3 Author(s) JoseMiguelHorcas; MonicaPinto; LidiaFuentes ViewAllAuthors Abstract: Cloudcomputingisbecomingthepredominantmechanismtoseamlesslydeployapplicationswithspecialrequirementssuchasmassivestorage sharingorloadbalancing,usuallyprovidedasservicesbycloudplatforms.Adevelopercanimprovetheapplication'sdeliveryandproductivityby followingamultitenancyapproach,wherevariantsofthesameapplicationcanbequicklycustomizedtothenecessitiesofeachtenant.However, managingtheinherentvariabilityexistinginmultitenantapplicationsand,evenmoreimportantly,managingtheevolutionofamultitenantapplication withhundredsoftenantsandthousandsofdifferentvalidarchitecturalconfigurationscanbecomeintractableifperformedmanually.Inthispaperwe proposeaproductlinearchitectureapproachinwhich:(1)weusecardinalitybasedvariabilitymodelstomodeleachtenantasaclonablefeature,(2) weautomatetheprocessofevolvingthemultitenantapplicationarchitecture,and(3)wedemonstratethattheimplementedprocessiscorrectand efficientforahighnumberoftenantsinareasonabletime.Weusearunningcasestudyinthedomainofmedicalsoftware. Publishedin:EnterpriseDistributedObjectComputingConference(EDOC),2016IEEE20thInternational DateofConference:59Sept.2016 DateAddedtoIEEEXplore:29September2016 ISBNInformation: ElectronicISBN:9781467398855 PrintonDemand(PoD)ISBN:9781467398862 ElectronicISSN:23256362 INSPECAccessionNumber:16342244 DOI:10.1109/EDOC.2016.7579384 Publisher:IEEE DownloadPDF DownloadCitations ViewReferences Email Print RequestPermissions Share Alerts RelatedArticles Readthefulldocument Keywords IEEEKeywords Hospitals,Cloudcomputing,Computerarchitecture,Authentication,Virtualmachining,Surgery INSPEC:ControlledIndexing softwareproductlines,cloudcomputing,softwarearchitecture INSPEC:NonControlledIndexing productlinearchitecture,medicalsoftware,multitenantapplicationarchitecture,clonablefeature, cardinalitybasedvariabilitymodels,automaticevolution,architecturalconfigurations,cloudcomputing Authors JoseMiguelHorcas AndaluciaTech,Univ.deMalaga,Malaga,Spain MonicaPinto Abstract Authors Figures References Citations Keywords BacktoTop Export Abstract Authors Figures References Citations Keywords Metrics Media BROWSE MYSETTINGS GETHELP WHATCANIACCESS?
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