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

机译:局域网上分布式和复杂系统的容错机制

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The fuzzy cognitive maps 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. 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.
机译:模糊认知地图是定性工具,可以在诸如信息系统之类的复杂系统中存在的链路中捕获从原因效果的程度。这些认知地图是表示具有巨大解释信息的知识的简单方法。事实上,他们被剥削了决策,预测未来国家和过去行动的解释。添加到这些容量中,当应用信息并通过模型传播时,地图本身的拓扑可以通过识别感兴趣的节点的原因来使用在诊断中。本文的主要目标是在一个环境对象中的环境对象的影响分析的概念,其中对象及其影响的链接(CIS:提供服务的信息系统的基本组件),既不定义也不是根据各种策划的过程命令和实时恢复影响结果和演示的分析。因此,我们的作用是通过使用模糊认知地图的推断,构思影响分析及其在答案时的发展。

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