Formalizing meta-programming techniques to reconcile heterogeneous scheduling disciplines in open distributed real-time systems

In open distributed real-time and embedded (DRE) systems, different ORB endsystems may use different scheduling disciplines. To ensure appropriate end-to-end application behavior in an open architecture, DRE systems must enforce an ordering on activities originating in an endsystem and activities that migrate there, based on the relative importance of these activities. This paper describes the meta-programming techniques applied in Juno, which extends Real-time CORBA to enhance the openness of DRE systems with respect to their scheduling disciplines by enabling dynamic ordering of priority equivalence classes. We use the forthcoming OMG Real-Time CORBA 2.0: Dynamic Scheduling Joint Final Submission (RT-CORBA 2.0 JFS) to illustrate our techniques.