Causal Computational Complexity of Distributed Processes

R. Demangeon, N. Yoshida
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引用次数: 5

Abstract

This paper studies the complexity of π-calculus processes with respect to the quantity of transitions caused by an incoming message. First we propose a typing system for integrating Bellantoni and Cook's characterisation of polynomially-bound recursive functions into Deng and Sangiorgi's typing system for termination. We then define computational complexity of distributed messages based on Degano and Priami's causal semantics, which identifies the dependency between interleaved transitions. Next we apply a syntactic flow analysis to typable processes to ensure the computational bound of distributed messages. We prove that our analysis is decidable for a given process; sound in the sense that it guarantees that the total number of messages causally dependent of an input request received from the outside is bounded by a polynomial of the content of this request; and complete which means that each polynomial recursive function can be computed by a typable process.
分布式过程的因果计算复杂性
本文研究了π-演算过程中由传入消息引起的跃迁数量的复杂性。首先,我们提出了一个将Bellantoni和Cook关于多项式界递归函数的描述整合到Deng和Sangiorgi关于终止的分型系统中的分型系统。然后,我们基于Degano和Priami的因果语义定义分布式消息的计算复杂性,该语义识别了交错转换之间的依赖关系。接下来,我们将对可类型化流程进行语法流分析,以确保分布式消息的计算边界。我们证明了我们的分析对于给定的过程是可决定的;从某种意义上说,它保证从外部接收到的与输入请求因果相关的消息总数受到该请求内容的多项式的限制;完备意味着每个多项式递归函数都可以通过可分类的过程来计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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