Demo: Orchflow: Orchestration and Management of IoT-Centric Distributed Workflows

The evolution of edge and cloud computing infrastructures has opened avenues for developing Internet-centered distributed applications characterized by adaptability, evolvability, and emergence. These applications, such as knowledge-driven distributed workflows are dynamically orchestrated and managed using resources across enterprise networks, cloud data centers, and Internet of Things (IoT) devices. Unlike traditional business processes and scientific workflows, knowledge-driven workflows dynamically evolve and adapt by responding to the environmental context, current execution status, and specific parameters of the case at hand, which are not predictable beforehand. In this demonstration, we present the Orchflow system, designed for dynamic orchestration and management of adaptive IoT-centric workflows. Orchflow enables flexible and location-aware resource selection, iterative and incremental binding, and dynamic deployment of services by considering factors such as spatio-temporal requirements of workflow tasks, resource availability status, underlying service infrastructure constraints, and real-time processing requirements within the workflow.