Foundations of Dependable Computing: Models and Frameworks for Dependable Systems

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Threats are things that can affect a system and cause a drop in Dependability. There are three main terms that must be clearly understood:. It is important to note that Failures are recorded at the system boundary. They are basically Errors that have propagated to the system boundary and have become observable. Faults, Errors and Failures operate according to a mechanism. This mechanism is sometimes known as a Fault-Error-Failure chain.

Once a fault is activated an error is created. An error may act in the same way as a fault in that it can create further error conditions, therefore an error may propagate multiple times within a system boundary without causing an observable failure. If an error propagates outside the system boundary a failure is said to occur.

A failure is basically the point at which it can be said that a service is failing to meet its specification. Since the output data from one service may be fed into another, a failure in one service may propagate into another service as a fault so a chain can be formed of the form: Fault leading to Error leading to Failure leading to Error, etc. Since the mechanism of a Fault-Error-Chain is understood it is possible to construct means to break these chains and thereby increase the dependability of a system. Four means have been identified so far:.

Fault Prevention deals with preventing faults being incorporated into a system. This can be accomplished by use of development methodologies and good implementation techniques. Removal during development requires verification so that faults can be detected and removed before a system is put into production. Once systems have been put into production a system is needed to record failures and remove them via a maintenance cycle.

Fault Forecasting predicts likely faults so that they can be removed or their effects can be circumvented. Fault Tolerance deals with putting mechanisms in place that will allow a system to still deliver the required service in the presence of faults, although that service may be at a degraded level. Dependability means are intended to reduce the number of failures presented to the user of a system.

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Failures are traditionally recorded over time and it is useful to understand how their frequency is measured so that the effectiveness of means can be assessed. Recent works, such [9] upon dependability take benefit of structured information systems , e. The flexibility of current frameworks encourage system architects to enable reconfiguration mechanisms that refocus the available, safe resources to support the most critical services rather than over-provisioning to build failure-proof system.

With the generalisation of networked information systems, accessibility was introduced to give greater importance to users' experience. Prerequisite: SW or consent of the instructor , cited: Compiler Construction: 8th download pdf Compiler Construction: 8th International. Papers Lecture Notes in Computer Science. Skip to content.

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Fundamentals of Dependable Computing for Software Engineers

Well versed in all stages of testing and QA Cycles. Highly motivated, organized and independent self-starter committed to the highest levels of professional and personal excellence Foundations of Dependable Computing: Models and Frameworks for Dependable Systems The Springer International Series in Engineering and Computer Science online.

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Foundations of Dependable Computing : Paradigms for Dependable Applications

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