Service Composition

Service composition focuses on automatically assembling individual services into complex workflows to achieve a desired outcome, addressing challenges in areas like manufacturing and drone delivery. Current research emphasizes efficient algorithms, including heuristic and reinforcement learning approaches, to optimize service selection and composition, often incorporating factors like cost, reliability, and consumer preferences within various model architectures (e.g., skyway networks for drone delivery). This field is crucial for building adaptable and efficient systems across diverse domains, with applications ranging from intelligent manufacturing and smart cities to the integration of advanced AI tools like large language models into automated service orchestration.