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

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Date

2017

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Open Access Color

Green Open Access

Yes

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Publicly Funded

No
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Average
Influence
Top 10%
Popularity
Average

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Journal Issue

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.

Description

Keywords

Cloud computing, Multi-tenancy, Multi-tenant architecture, Systematic mapping study, Multi-tenant architecture, Systematic mapping study, cloud computing, systematic mapping study, Cloud computing, multi-tenancy, Multi-tenancy, multi-tenant architecture

Fields of Science

0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Scopus Q

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OpenCitations Citation Count
6

Source

2017 International Artificial Intelligence and Data Processing Symposium (IDAP)

Volume

Issue

Start Page

1

End Page

4
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Citations

Scopus : 18

Captures

Mendeley Readers : 45

SCOPUS™ Citations

19

checked on Feb 28, 2026

Page Views

3

checked on Feb 28, 2026

Downloads

114

checked on Feb 28, 2026

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2.4181

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