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.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.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.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) | |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| 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 | |
| gdc.author.institutional | Doğan, Gamze | en_US |
| gdc.bip.impulseclass | C5 | |
| gdc.bip.influenceclass | C4 | |
| gdc.bip.popularityclass | C5 | |
| gdc.coar.access | open access | |
| gdc.coar.type | text::conference output | |
| gdc.collaboration.industrial | true | |
| gdc.description.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
| gdc.description.endpage | 4 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 1 | |
| gdc.identifier.openalex | W2769159852 | |
| gdc.index.type | Scopus | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 4.0 | |
| gdc.oaire.influence | 3.482865E-9 | |
| gdc.oaire.isgreen | true | |
| gdc.oaire.keywords | Multi-tenant architecture | |
| gdc.oaire.keywords | Systematic mapping study | |
| gdc.oaire.keywords | cloud computing | |
| gdc.oaire.keywords | systematic mapping study | |
| gdc.oaire.keywords | Cloud computing | |
| gdc.oaire.keywords | multi-tenancy | |
| gdc.oaire.keywords | Multi-tenancy | |
| gdc.oaire.keywords | multi-tenant architecture | |
| gdc.oaire.popularity | 3.5206795E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0502 economics and business | |
| gdc.oaire.sciencefields | 05 social sciences | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.openalex.collaboration | International | |
| gdc.openalex.fwci | 2.4181 | |
| gdc.openalex.normalizedpercentile | 0.92 | |
| gdc.openalex.toppercent | TOP 10% | |
| gdc.opencitations.count | 6 | |
| gdc.plumx.mendeley | 45 | |
| gdc.plumx.scopuscites | 18 | |
| gdc.relation.journal | IDAP 2017 - International Artificial Intelligence and Data Processing Symposium | |
| gdc.scopus.citedcount | 19 | |
| relation.isOrgUnitOfPublication | b20623fc-1264-4244-9847-a4729ca7508c | |
| relation.isOrgUnitOfPublication.latestForDiscovery | b20623fc-1264-4244-9847-a4729ca7508c |
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