Won't take no for an answer: resource-driven requirements adaptation

Adaptive composition dynamically and opportunistically uses and combines resources to best satisfy user requirements. However, when available resources cannot satisfy those requirements, no guidance or alternative options are offered by existing composition solutions. In this paper we address this issue by presenting an approach that tries to find substitutions for unavailable resources while satisfying the initial requirements. If no satisfactory substitutions are found, the requirements are adapted based on the resources available. Given that such requirements adaptation might be unbounded, we limit the search space guided by the available resources. Our approach ensures that alternative compositions given to users are achievable using available resources. We demonstrate the validity of our approach by implementing a prototype tool and applying it to support individuals in meal planning to reduce food waste