Context-Aware Service Selection Engine for Ubiquitous Computing Application

In ubiquitous computing scenarios, there is urgent need for service infrastructure to provide effective service provision according to current context such as device capability, network status and user preference, etc. Our work focused on developing a context-aware service selection engine that can dynamically select appropriate services for end-users. To serve this purpose, we explored the traditional quality of service and proposed a metric named as "degree of service satisfaction", which is used to evaluate the impact of various context upon service selection. By employing first-order logic inference and fuzzy logic evaluation, we designed the service selection engine that can calculate the degree of service satisfaction and implement dynamic service evaluation and selection. We also exemplified the process of service selection to demonstrate the validation of our design