QoS-Based Composition of Service Specific Overlay Networks

Optimization of service compositions represents a challenging area of research in mobile networks. The use of formal semantic descriptions of service interfaces and functionalities enable automated reasoning over service compositions. The growing challenge of finding effective methods to satisfy non-functional QoS requirements of customers exacerbates the composition problem. Fuzzy reasoning provides an effective means to represent QoS concepts that are vague or approximate thus providing a flexible best-match service query scheme. This paper presents a new fuzzy-induced, semantic-similarity-based service-specific overlay network composition over a hybrid service overlay network. The presented composition method allows for efficient, accurate, and QoS-aware component service discovery, composition, and execution. We demonstrate that our approach provides better performance and reduced composition delay when compared to other service-composition solutions.