Take Intelligent Risk and Optimize Decision Based on Time, Available Resources and Risk Tolerance Limits

Yu, Yue; Ren, Shangping; Kwiat, Kevin

doi:10.1109/rtas.2007.37

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…Kwiat and Dr. Ren presented analytical solutions for the expected time when dependable data could be obtained under unique voting schemes [18]. They also demonstrated how the allocation of resource played a significant role in satisfying both data accuracy and consistency constraints.…”

Section: Predicting Real-time Data Limitsmentioning

confidence: 99%

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Assured Communications Research Center (ACRC)

Kwiat¹,

Wolfe²

2009

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)AFRL/RIGA 525 Brooks Rd. Rome NY 13441-4505 The program was designed to promote and perform extensive research in the transformation of concepts that originated in the domain of fault tolerance to the then emerging area of information assurance. When a computing technique is placed in an information assurance scenario, the technique must be guarded from an attacker. A basic tenet of the ACRC was to enforce the system properties of fault-tolerant computing even in the presence of attack in order to ensure system integrity and availability. SPONSOR/MONITOR'S ACRONYM(S)N

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Section: Predicting Real-time Data Limitsmentioning

confidence: 99%

“…The process of getting a consensus data from a group of replicated units must not take longer than the life expectancy of the data. In a paper entitled "Take Intelligent Risk and Optimize Decision Based on Time, Available Resources and Risk Tolerance Limits" [18], Dr.…”

Section: Predicting Real-time Data Limitsmentioning

confidence: 99%