Managing Dynamic Context to Optimize Smart Interactions using Feedback Loops and SOA Governance Techniques

With the rapid growth of socio-technical ecosystems, smart interactions and services will proliferate and permeate every walk of life. Smart services are context-aware—are able to detect its current state or context and determine what interactions to perform or how to tailor services based on its context. In this endeavour, the capability of the system to adjust its behaviour in response to its perception of the environment and the system itself in the form of fully or semi-automatic self-adaptation has become one of the most promising research directions. Thus, smart interaction platforms need infrastructure to acquire, compose, and distribute context information to multiple execution endpoints. Moreover, context management must be controlled and governed to optimize end-to-end system properties. This paper posits that dynamic context acquisition and management can be orchestrated using feedback loops and SOA governance techniques.