RISK-MEANINGFUL DATABASES
Date
2002-12-18
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Abstract
Risk-meaningful databases are central to one of three important
approaches to risk elimination in systems, namely use of both a risk monitoring
procedure for detection of risk, and a response procedure for either
eliminating or reducing the risk detected. The risk monitoring procedure uses
violations of risk-meaningful database constraints to signal the presence of
risk. The degree to which risk is can be detected depends on a cumulative
measure of the risk-meaningful database constraints available. This cumulative
measure may be used in an extended version of the risk equation for systems, in
order to quantify the relationship between throughput capacity and risk that
has been partly reduced or eliminated by means of a risk monitoring procedure.
Two types of risk-meaningful databases are identified, namely active
rm-databases and passive rm-databases. Passive rm-databases are mostly constant
in size, they store data about hazardous entities, and can have any of the
structures commonly found in databases. In contrast, active rm-databases grow
continually, they store incoming data from monitoring units and sensors, they
tend to have a more restricted structure, and the rm-database constraints used
for detecting risk depend heavily on co-relationships, that is, relationships
arising from entity or event relations that have non-primary key attributes in
common.
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Computer Science