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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lei Ju Sengupta, B. Roychoudhury, A. |
| Copyright Year | 2012 |
| Abstract | A multi-tenant software as a service (SaaS) system has to meet the needs of several tenant organizations, which connect to the system to utilize its services. To leverage economies of scale through re-use, a SaaS vendor would, in general, like to drive commonality amongst the requirements across tenants. However, many tenants will also come with some custom requirements that may be a pre-requisite for them to adopt the SaaS system. These requirements then need to be addressed by evolving the SaaS system in a controlled manner, while still supporting the requirements of existing tenants. In this paper, we focus on functional variability amongst tenants in a multi-tenant SaaS and develop a framework to help evolve such systems systematically. We adopt an intuitive formal model of services that is easily amenable to tenant requirement analysis and provides a robust way to support multiple tenant on boarding, which is modeled as a bi-objective optimization problem that attempts to maximize vendor profit and tenant functional commonality. We perform a substantial case study of a multi-tenant blog server to demonstrate the benefits of our proposed approach. |
| Starting Page | 415 |
| Ending Page | 422 |
| File Size | 294311 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467321310 |
| DOI | 10.1109/ICWS.2012.43 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Blogs Educational institutions Software Servers Optimization Cognition Java tenant selection SaaS Multi-tenancy |
| Content Type | Text |
| Resource Type | Article |
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