Software engineering for multi-tenancy computing challenges and implications

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

6 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationInternational Workshop on Innovative Software Development Methodologies and Practices, InnoSWDev 2014 - Proceedings
PublisherAssociation for Computing Machinery, Inc
Pages1-10
ISBN (Print)9781450332262
Publication statusPublished - 16 Nov 2014

Conference

TitleInternational Workshop on Innovative Software Development Methodologies and Practices, InnoSWDev 2014
PlaceChina
CityHong Kong
Period16 November 2014

Abstract

Multi-tenancy is a cloud computing phenomenon. Multiple instances of an application occupy and share resources from a large pool, allowing different users to have their own version of the same application running and coexisting on the same hardware but in isolated virtual spaces. In this position paper we survey the current landscape of multi-tenancy, laying out the challenges and complexity of software engineering where multi-tenancy issues are involved. Multitenancy allows cloud service providers to better utilise computing resources, supporting the development of more exible services to customers based on economy of scale, reducing overheads and infrastructural costs. Nevertheless, there are major challenges in migration from single tenant applications to multi-tenancy. These have not been fully explored in research or practice to date. In particular, the reengineering effort of multi-tenancy in Software-as-a-Service cloud applications requires many complex and important aspects that should be taken into consideration, such as security, scalability, scheduling, data isolation, etc. Our study emphasizes scheduling policies and cloud provisioning and deployment with regards to multi-tenancy issues. We employ CloudSim and MapReduce in our experiments to simulate and analyse multi-tenancy models, scenarios, performance, scalability, scheduling and reliability on cloud platforms.

Research Area(s)

  • Cloud computing, Multi-tenancy, Resource allocation, Saas, Scheduling policies, Software development

Citation Format(s)

Software engineering for multi-tenancy computing challenges and implications. / Ru, Jia; Grundy, John; Keung, Jacky.

International Workshop on Innovative Software Development Methodologies and Practices, InnoSWDev 2014 - Proceedings. Association for Computing Machinery, Inc, 2014. p. 1-10.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review