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A Fault Tolerance Mechanism in Distributed and Complex System on a LAN

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Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 381))

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Abstract

The fuzzy cognitive maps [16] are qualitative tools which can capture the extent from cause to effect in the links that exist within a complex system such as the information system. These cognitive maps are a simple way of representing knowledge with a huge capacity of interpreting the information. Indeed, they are exploited for the decision-making, the prediction of future states and the explanation of past actions. Added to these capacities, when the information is applied and propagated through the model, the topology of the map itself can be used in the diagnosis of breakdowns by identifying the causes of the nodes of interest [7]. The main objective of this paper is the conception of impact analysis of engine of rules in an environment object in which objects and their links of impact (CIs: elementary components of the information system contributing to the delivery of a service), are neither defined nor ordered and the real time restoration of analysis of impact results and presentation according to the various orchestrated processes. Thus our role is to conceive a design of impact analysis and its development guaranteeing in times of answer by using the inference of the fuzzy cognitive maps.

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Correspondence to Farid Lassoued .

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Lassoued, F., Bouallegue, R. (2016). A Fault Tolerance Mechanism in Distributed and Complex System on a LAN. In: El Oualkadi, A., Choubani, F., El Moussati, A. (eds) Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015. Lecture Notes in Electrical Engineering, vol 381. Springer, Cham. https://doi.org/10.1007/978-3-319-30298-0_58

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  • DOI: https://doi.org/10.1007/978-3-319-30298-0_58

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