2014 9th International Conference on Computer Engineering &Amp; Systems (ICCES) 2014
DOI: 10.1109/icces.2014.7030963
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Towards a state synchronization methodology for recovery process after partial reconfiguration of fault tolerant systems

Abstract: Modern fault tolerant systems implemented into FPGAs integrate very often hardware redundancy together with fault tolerant approaches based on active fault recovery and the system reconfiguration. Space and safety-critical applications are examples of systems where the principles of fault tolerance and recovery techniques have increasing importance. Except of fault-masking behavior and FPGA partial reconfiguration, also the synchronization of reconfigured circuit copy with remaining circuits which are during t… Show more

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Cited by 3 publications
(1 citation statement)
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“…Another example, albeit less obvious, can be seen on an approach to state synchronization after a partial reconfiguration of fault tolerant systems using Field Programmable Gate Array (FPGA) circuits. Even when discussing the fault tolerance method of Triple Modular Redundancy (TMR), method illustrated in Figure 1, it is mentioned that the reconfiguration only occurs after the fault is detected by the failure of one of the redundant circuits [16]. More recent compilation works, specifically directed at mobile robots, continue to cite modelbased methods of fault detection as being the mostly used in robotics.…”
Section: Overviewmentioning
confidence: 99%
“…Another example, albeit less obvious, can be seen on an approach to state synchronization after a partial reconfiguration of fault tolerant systems using Field Programmable Gate Array (FPGA) circuits. Even when discussing the fault tolerance method of Triple Modular Redundancy (TMR), method illustrated in Figure 1, it is mentioned that the reconfiguration only occurs after the fault is detected by the failure of one of the redundant circuits [16]. More recent compilation works, specifically directed at mobile robots, continue to cite modelbased methods of fault detection as being the mostly used in robotics.…”
Section: Overviewmentioning
confidence: 99%