A Rendezvous of Content Adaptable Service and Product Line Modeling

Seo Jeong Lee1 and Soo Dong Kim2 -- PROFES 2005

They propose a service decision modeling technique for content adaptable applications

Michael Dertouzos [8] four fundamental forces envisioned in pervasive computing:
1- Natural Interaction
2- Automation
3- Individualized information access
4- Collaboration


Taxonomy of variability can be seen as below

The content adaptable service decision process

1. Define System Architecture
1. embrace contextual change
2. embrace ad hoc composition
3. recognize sharing as the default
   
2. Define the variation points and variants
1. Context is profile of network, device, user, service
2. for each of the above profiles we may think of a variation point
   
3. Define the dependencies between variation points
4. Define the dependencies between variants
5. Define the strategy of negotiation
1. It depends on the domain, service, and application
2. The decision value of the strategy should be one_of or in_the_range_of variant values.
6. Select the adequate algorithm or module
1. A QoS algorithm or something similar can be used to choose the require set of components and requirements based on the information that are fed to the system by the system designer.