|
| creator |
Mietzner, Ralph
| | Metzger, Andreas
| | Leymann, Frank
| | Pohl, Klaus
| | date |
2009-05
| | | | description |
More and more companies are offering their software by following the
Software as a Service (SaaS) model. The promise of the SaaS model is
to exploit economies of scale on the provider side by hosting
multiple customers (or tenants) on the same hardware and software
infrastructure. However, to attract a significant number of tenants,
SaaS applications have to be customizable to fulfill the varying
functional and quality requirements of individual tenants. In this
paper, we describe how variability modeling techniques from software
product line engineering can support SaaS providers in managing the
variability of SaaS applications and their requirements.
Specifically, we propose using explicit variability models to
systematically derive customization and deployment information for
individual SaaS tenants. We also demonstrate how variability models
could be used to systematically consider information about already
deployed SaaS applications for efficiently deploying SaaS
applications for new tenants. We illustrate our approach by a
running example for a meeting planning application.
| |