2019
DOI: 10.1007/s12652-019-01223-3
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A deadlock resolution strategy based on spiking neural P systems

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Cited by 13 publications
(10 citation statements)
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“…The SNPS models also have been used to solve many problems, such as the identification of nuclear export signal [35], computing morphisms [65,66], intrusion detection [84], solving deadlock resolution problems [85], programmable stage controller stage programming [68] and µ-fluidic biochip design [67]. In this section, we briefly discuss the use of SNPS in solving these problems.…”
Section: Other Applicationsmentioning
confidence: 99%
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“…The SNPS models also have been used to solve many problems, such as the identification of nuclear export signal [35], computing morphisms [65,66], intrusion detection [84], solving deadlock resolution problems [85], programmable stage controller stage programming [68] and µ-fluidic biochip design [67]. In this section, we briefly discuss the use of SNPS in solving these problems.…”
Section: Other Applicationsmentioning
confidence: 99%
“…(4) SNPS models have also been used to solve problems in operating and database systems. In [85], Pang et al proposed a method based on SNPS for solving the Deadlock resolution problem in 2019. In [85], SNPS were used for the revocation of the deadlock processes.…”
Section: Other Applicationsmentioning
confidence: 99%
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“…After the end of the iteration, the current round of statistical calculation information and model accuracy are output. The deadlock can be effectively avoided by using this iterative method [34], [35]. The performance statistics are used to determine whether to perform an early stop, then, the next round of iteration begins.…”
Section: B Task Scheduling Systemmentioning
confidence: 99%