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On Efficient Models for Model Checking Message-Passing Distributed Protocols

机译:关于模型验证消息传递分布式协议的有效模型

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The complexity of distributed algorithms, such as state machine replication, motivates the use of formal methods to assist correctness verification. The design of the formal model of an algorithm directly affects the efficiency of the analysis. Therefore, it is desirable that this model does not add "unnecessary" complexity to the analysis. In this paper, we consider a general message-passing (MP) model of distributed algorithms and compare different ways of modeling the message traffic. We prove that the different MP models are equivalent with respect to the common properties of distributed algorithms. Therefore, one can select the model which is best suited for the applied verification technique. We consider MP models which differ regarding whether (1) the event of message delivery can be interleaved with other events and (2) a computation event must consume all messages that have been delivered after the last computation event of the same process. For generalized MP distributed protocols and especially focusing on fault-tolerance, we show that our proposed model (without interleaved delivery events and with relaxed semantics of computation events) is significantly more efficient for explicit state model checking. For example, the model size of the Paxos algorithm is 1/13"1 that of existing equivalent MP models.
机译:分布式算法(例如状态机复制)的复杂性促使人们使用形式化方法来帮助进行正确性验证。算法形式模型的设计直接影响分析的效率。因此,希望此模型不向分析添加“不必要的”复杂性。在本文中,我们考虑了分布式算法的通用消息传递(MP)模型,并比较了对消息流量进行建模的不同方法。我们证明了不同的MP模型在分布式算法的共同特性方面是等效的。因此,可以选择最适合所应用验证技术的模型。我们考虑的MP模型在(1)消息传递事件是否可以与其他事件交错以及(2)计算事件是否必须消耗在同一进程的最后一次计算事件之后已经传递的所有消息方面有所不同。对于通用的MP分布式协议,尤其是在容错方面,我们证明了我们提出的模型(没有交错的传送事件,并且具有宽松的计算事件语义)对于显式状态模型检查而言,效率要高得多。例如,Paxos算法的模型大小是现有等效MP模型的模型大小的1/13“ 1。

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