Planning and Resource Allocation for Hard Real-time, Fault-Tolerant Plan Execution

作者:Ella M. Atkins, Tarek F. Abdelzaher, Kang G. Shin, Edmund H. Durfee

摘要

We describe the interface between a real-time resource allocation system with an AI planner in order to create fault-tolerant plans that are guaranteed to execute in hard real-time. The planner specifies the task set and all execution deadlines required to ensure system safety, then the resource utilization. A new interface module combines information from planning and resource allocation to enforce development of plans feasible for execution during a variety of internal system faults. Plans that over-utilize any system resource trigger feedback to the planner, which then searches for an alternate plan. A valid plan for each specified fault, including the nominal no-fault situation, is stored in a plan cache for subsequent real-time execution. We situate this work in the context of CIRCA, the Cooperative Intelligent Real-time Control Architecture, which focuses on developing and scheduling plans that make hard real-time safety guarantees, and provide an example of an autonomous aircraft agent to illustrate how our planner-resource allocation interface improves CIRCA performance.

论文关键词:AI architectures, planning, real-time scheduling, fault-tolerance

论文评审过程:

论文官网地址:https://doi.org/10.1023/A:1010066729351