SeCoA: Autonomous semantic service composition algorithm in symbiotic networks

Abstract

We propose symbiotic networks, a novel approach toward sharing of network resources in order to increase the scalability, dependability and energy efficiency of colocated networks. As symbiotic networks offer large amounts of software services, one challenge is to allow these services to operate “symbiotically” as well. By combining services from different parties, service compositions arise, which allow for a richer set of functionality. Creating such compositions, however, requires intricate knowledge about services and their interoperability. Using a semantic domain and service model, we describe SeCoA, a tunable best-first search algorithm for autonomously constructing symbiotic service compositions. A performance evaluation of SeCoA was conducted, showing that the algorithm offers acceptable performance for moderately sized compositions.