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A Bio-inspired Method to Realize Fault-tolerance Online

机译:一种在线启发式容错的生物启发方法

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摘要

A multi-layered array inspired by biological processes and structures to support the self-diagnosis and self-healing of circuits is proposed. A dedicated distributed dynamic maximum flow (DDMF) algorithm is carefully designed to run on the array with an acceptable cost of time and hardware resources which makes self-adaptive online recovery possible. The array consists of three layers logically. Cells of the Programmable Logic Layer can be configured to different circuit functions. The Immune Layer, which cooperates with cells to detect and locate faults, is inspired by the human body's powerful immune system. Reconfiguration Manage Layer executes the dynamic routing algorithm to map the circuit function to spare cells automatically to realize online recovery. A fault-tolerance hardware platform is built based on the array. As the simulation and synthesis results show, the array performs well as a programmable platform and has the ability of distributed online self-diagnosis and self-healing.
机译:提出了一种受生物过程和结构启发的多层阵列,以支持电路的自诊断和自修复。精心设计了专用的分布式动态最大流量(DDMF)算法,以可接受的时间和硬件资源在阵列上运行,这使得自适应在线恢复成为可能。该阵列在逻辑上由三层组成。可编程逻辑层的单元可以配置为不同的电路功能。免疫层与细胞合作以检测和定位故障,其灵感来自于人体强大的免疫系统。重配置管理层执行动态路由算法,将电路功能自动映射到备用单元,以实现在线恢复。基于该阵列构建了一个容错硬件平台。仿真和综合结果表明,该阵列作为可编程平台具有良好的性能,并具有分布式在线自我诊断和自我修复的能力。

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