基于消息的系统中消息排序的去中心化无死锁执行

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE Journal of Computer and System Sciences Pub Date : 2024-04-18 DOI:10.1016/j.jcss.2024.103544
Mahboubeh Samadi, Fatemeh Ghassemi, Ramtin Khosravi
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引用次数: 0

摘要

基于消息的系统通常由分布式组件组成,这些组件通过异步消息传递进行通信。在这类系统中,特定的消息排序可能会违反某些必要的属性。鉴于基于自动机的不需要的消息序列规范,我们提出了一种去中心化的无死锁运行时执行算法,以防止此类序列的形成。在我们的方法中,组件配备了并发执行的监控器。一个组件只有在发送或接收序列的最后一条信息之前才会被阻塞,直到其相关的监控器检查出该信息没有完成一个不需要的序列。根据不需要的序列规范,一些被阻塞的组件可能会陷入死锁。我们的无死锁算法通过改进现有的死锁检测算法,确保监控器能检测并解决此类死锁。我们通过仿真评估了我们的方法在通信开销、预防延迟和死锁检测开销方面的效率和可扩展性。
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Decentralized deadlock-free enforcement of message orderings in message-based systems

Message-based systems usually consist of distributed components that communicate using asynchronous message passing. In such systems, particular message orderings may violate some required properties. Given an automata-based specification of unwanted message sequences, we propose a decentralized deadlock-free runtime enforcement algorithm to prevent the formation of such sequences. In our approach, components are equipped with monitors executed concurrently. A component is only blocked before sending or receiving the last message of a sequence, until its associated monitor checks that such a message does not complete an unwanted sequence. According to the specification of unwanted sequences, some blocked components may suffer from a deadlock. Our deadlock-free algorithm guarantees that monitors detect and resolve such deadlocks by improving the existing deadlock detection algorithms. We evaluate the efficiency and scalability of our approach in terms of the communication overhead, the prevention latency, and the overhead of deadlock detection through simulation.

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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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