Multi-Tenant Architectures in the Cloud: a Systematic Mapping Study

dc.contributor.author Karataş, Gözde
dc.contributor.author Can, Ferit
dc.contributor.author Doğan, Gamze
dc.contributor.author Konca, Cemile
dc.contributor.author Akbulut, Akhan
dc.date.accessioned 2019-06-28T11:12:07Z
dc.date.available 2019-06-28T11:12:07Z
dc.date.issued 2017
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
dc.description.abstract Unlike traditional web applications cloud-based applications can provide services for large number of tenants using the same hardware and software by implementing multi-tenant architectures. 407 papers have been examined by using systematic mapping method to evaluate the publications related to this architecture which have been used increasingly in the Software-as-a-Service (SaaS) model. The goal of the study is to determine which storage strategies were used most which criteria were taken into account in selecting the preferred storage strategy and the most searched topics under multi-tenant architecture model. Primary researches which are conforming to specified review rules have been obtained from electronic databases (IEEE ACM Springer ScienceDirect Wiley Scopus) and classified by research topic and content. © 2017 IEEE. en_US]
dc.identifier.citationcount 16
dc.identifier.doi 10.1109/IDAP.2017.8090268 en_US
dc.identifier.isbn 9781538618806
dc.identifier.scopus 2-s2.0-85039897676 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/1788
dc.identifier.uri https://doi.org/10.1109/IDAP.2017.8090268
dc.institutionauthor Doğan, Gamze en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.journal IDAP 2017 - International Artificial Intelligence and Data Processing Symposium en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 16
dc.subject Cloud computing en_US
dc.subject Multi-tenancy en_US
dc.subject Multi-tenant architecture en_US
dc.subject Systematic mapping study en_US
dc.title Multi-Tenant Architectures in the Cloud: a Systematic Mapping Study en_US
dc.type Conference Object en_US
dspace.entity.type Publication

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