Coordinated Allocation and Scheduling of Multiple Resources in Real-time Operating Systems

Distributed real-time embedded (DRE) systems are key components of critical infrastructure including surveillance, target tracking, electric grid management, traffic control, avionics, and communications systems. They require (1) the coordinated management of multiple resources, such as the CPU, network, and disk, (2) end-to-end (E2E) real-time guarantees across the use of multiple resources, and (3) feedback control across multiple resources. None of these properties is supported as a first-class feature within the state-of-theart real-time operating systems, but are left out as an inconvenient detail to be managed by DRE application programmers. In this paper, we shed light on this fundamental problem and make the case for greater research into the development of theory and a runtime systems for coordinated allocation and scheduling of multiple resources in real-time operating systems. We also present the outlines of our proposed solution approach, called the Multiple Resource Allocation and Scheduling (MURALS) framework, that aims to bridge this gap between the need for E2E timing requirements and the techniques to coordinate the use of multiple resources.

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