High-level dynamic resource management for distributed, real-time embedded systems

Abstract In this paper we discuss the problem of coordinating resource allocations among independent high-level goals, called missions, for scalable, hierarchical, Dynamic Resource Management (DRM) in a Distributed Real-time Embedded (DRE) system. The DRM goal is to dynamically allocate shared resources to simultaneously manage multiple Quality of Service (QoS) concerns among the missions that maintain system operation despite partial system failures. We use a utility-driven approach for decisionmaking and performance evaluation. We offer an approach for multi-mission coordination and provide a design for implementing that approach. Finally, we show experimental results demonstrating the viability and near-optimality of our solution for a target environment based on a large-scale Matlab/Simulink simulation of a target system.