A discrete time model for performance evaluation and correctness verification of real time systems

G. Bucci, L. Sassoli, E. Vicario
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引用次数: 5

Abstract

In the development of reactive systems, correctness and performance requirements are often intertwined. An integral approach to both the aspects of the problem requires models and analysis techniques which jointly capture probabilistic and minimum/maximum characterization of time delays. A discrete time extension of Time Petri Nets is introduced, which extends minimum/maximum timing constraints with a discrete probability density. As a characterizing trait, the model is interpreted according to a semantics of true concurrency, representing dynamic behavior in terms of the probability that a set of transitions fires at the current tick of the clock. Behavioral and probabilistic rules in the semantics of the model are soundly captured into an enumerative technique which represents the state space of the model as a transition system labeled with delays and probabilities. This enables both Markovian analysis techniques and inspection algorithms supporting verification of sequencing and minimum/maximum durational properties.
用于实时系统性能评估和正确性验证的离散时间模型
在响应式系统的开发中,正确性和性能需求经常是交织在一起的。一个完整的方法来解决这两个方面的问题,需要模型和分析技术,共同捕获概率和最小/最大特征的时间延迟。介绍了时间Petri网的离散时间扩展,该扩展以离散概率密度扩展最小/最大时间约束。作为一种特征特征,模型是根据真正并发的语义来解释的,根据在当前时钟滴答时触发一组转换的概率来表示动态行为。模型语义中的行为和概率规则被很好地捕获到一种枚举技术中,该技术将模型的状态空间表示为一个带有延迟和概率标记的过渡系统。这使得马尔可夫分析技术和检查算法都支持测序和最小/最大持续时间特性的验证。
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