Extending multi-tenant architectures: a database model for a multi-target support in SaaS applications. Issue 4 (3rd May 2016)

• Record Type: Journal Article
• Authors: Rico, Antonio; Noguera, Manuel; Garrido, José Luis; Benghazi, Kawtar; Barjis, Joseph
• Is Part Of: Enterprise information systems. Volume 10:Issue 4(2016)
• Page Start: 400
• Page End: 421
• Publication Date: 2016-05-03
• Subjects: enterprise information systems -- multi-tenancy -- multi-target -- software architecture -- database design -- cloud computing -- Software as a Service; Information storage and retrieval systems -- Periodicals; Management information systems -- Periodicals; Electronic commerce -- Periodicals; 658.4038011
• DOI: 10.1080/17517575.2014.947636
• Languages: English
• ISSNs: 1751-7575

Abstract

Abstract : Multi-tenant architectures (MTAs) are considered a cornerstone in the success of Software as a Service as a new application distribution formula. Multi-tenancy allows multiple customers (i.e. tenants) to be consolidated into the same operational system. This way, tenants run and share the same application instance as well as costs, which are significantly reduced. Functional needs vary from one tenant to another; either companies from different sectors run different types of applications or, although deploying the same functionality, they do differ in the extent of their complexity. In any case, MTA leaves one major concern regarding the companies' data, their privacy and security, which requires special attention to the data layer. In this article, we propose an extended data model that enhances traditional MTAs in respect of this concern. This extension – called multi-target – allows MT applications to host, manage and serve multiple functionalities within the same multi-tenant (MT) environment. The practical deployment of this approach will allow SaaS vendors to target multiple markets or address different levels of functional complexity and yet commercialise just one single MT application. The applicability of the approach is demonstrated via a case study of a real multi-tenancy multi-target (MT 2 ) implementation, called Globalgest.