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https://doi.org/10.1109/icws.2...
Article . 2012 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2023
Data sources: DBLP
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Tenant Onboarding in Evolving Multi-tenant Software-as-a-Service Systems

Authors: Lei Ju 0001; Bikram Sengupta; Abhik Roychoudhury;

Tenant Onboarding in Evolving Multi-tenant Software-as-a-Service Systems

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.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Top 10%