Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs

Abstract

We present Tactical Jupiter, an adaptation of the recently developed Jupiter framework for scheduling of dispersed computations on heterogeneous resources to tactical MANETs. Tactical Jupiter addresses the challenges to distributed scheduling posed by intermittent connectivity and scarce/variable bandwidth, variable computational resource utilization by background load, and node attrition. Our key contributions include: (a) disruption handling via increased autonomy of task executors, (b) low-overhead ML-based task completion time estimation in presence of background load, and (c) resilient dissemination mechanisms for monitoring information.