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Stochastic Process Algebra with Value-Passing and Weak Time Restrictions

机译:具有值传递和弱时间限制的随机过程代数

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Process algebra provides essential tools for studying distributed and concurrent systems. Stochastic process algebra (i.e., YAWN) enhances the process algebra with stochastic extensions which is perfect to analyze phenomena of process with executing durations in the real world.What’s more, in system runs, value passing is tightly bounded with their processes. However, stochastic process algebras lack value passing can limit their expressiveness. Based on this, we propose a process algebra of stochastic process algebra with value passing. This new process algebra can specify the behaviors of systems in a more clear and accurate way. In dealing with relationship of bisimulations, we introduce a new policy of weak time comparison between processes in bisimulation which is more convenient and doable in practice.
机译:过程代数提供了研究分布式和并发系统的基本工具。随机过程代数(YAWN)通过随机扩展增强了过程代数,非常适合分析现实世界中具有执行持续时间的过程现象。此外,在系统运行中,价值传递与他们的过程紧密相关。然而,随机过程代数缺乏价值传递会限制其表现力。在此基础上,提出了具有价值传递的随机过程代数的过程代数。这个新的过程代数可以更清晰,更准确地指定系统的行为。在处理双仿真的关系时,我们引入了一种新的策略,即在双仿真过程之间进行较弱的时间比较,这在实践中更为方便和可行。

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