Using DSML for handling multi-tenant evolution in cloud applications

Assylbek Jumagaliyev, Jon Whittle, Yehia Elkhatib

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

4 Citations (Scopus)

Abstract

Multi-tenancy is sharing a single application's resources to serve more than a single group of users (i.e. tenant). Cloud application providers are encouraged to adopt multi-tenancy as it facilitates increased resource utilization and ease of maintenance, translating into lower operational and energy costs. However, introducing multi-tenancy to a single-tenant application requires significant changes in its structure to ensure tenant isolation, configurability and extensibility. In this paper, we analyse and address the different challenges associated with evolving an application's architecture to a multi-tenant cloud deployment. We focus specifically on multi-tenant data architectures, commonly the prime candidate for consolidation and multi-tenancy. We present a Domain-Specific Modeling language (DSML) to model a multi-tenant data architecture, and automatically generate source code that handles the evolution of the application's data layer. We apply the DSML on a representative case study of a single-tenant application evolving to become a multi-tenant cloud application under two resource sharing scenarios. We evaluate the costs associated with using this DSML against the state of the art and against manual evolution, reporting specifically on the gained benefits in terms of development effort and reliability.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication2017 IEEE 9th International Conference on Cloud Computing Technology and Science - CloudCom 2017
EditorsBaochun Li, Thomas Hacker
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages272-279
Number of pages8
ISBN (Print)9781538606926
DOIs
Publication statusPublished - 27 Dec 2017
EventIEEE International Conference on Cloud Computing Technology and Science 2017 - Hong Kong, Hong Kong
Duration: 11 Dec 201714 Dec 2017
Conference number: 9th
http://2017.cloudcom.org/

Conference

ConferenceIEEE International Conference on Cloud Computing Technology and Science 2017
Abbreviated titleCloudCom 2017
CountryHong Kong
CityHong Kong
Period11/12/1714/12/17
Internet address

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