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ICIW '08 Proceedings of the 2008 Third International Conference on Internet and Web Applications and Services
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PESOS '09 Proceedings of the 2009 ICSE Workshop on Principles of Engineering Service Oriented Systems
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EDOCW '11 Proceedings of the 2011 IEEE 15th International Enterprise Distributed Object Computing Conference Workshops
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Proceedings of the 16th International Software Product Line Conference - Volume 2
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Proceedings of the Seventh International Workshop on Variability Modelling of Software-intensive Systems
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A widespread business model in cloud computing is to offer software as a service (SaaS) over the Internet. Such applications are often multi-tenant aware, which means that multiple tenants share hardware and software resources of the same application instance. However, SaaS stakeholders have different or even contradictious requirements and interests: For a user, the application's quality and non-functional properties have to be maximized (e.g., choosing the fastest available algorithm for a computation at runtime). In contrast, a resource or application provider is interested in minimizing the operating costs while maximizing his profit. Finally, tenants are interested in offering a customized functionality to their users. To identify an optimal compromise for all these objectives, multiple levels of variability have to be supported by reference architectures for multi-tenant SaaS applications. In this paper, we identify requirements for such a runtime architecture addressing the individual interests of all involved stakeholders. Furthermore, we show how our existing architecture for dynamically adaptive applications can be extended for the development and operation of multi-tenant applications.