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Gossip Based Causal Order Broadcast Algorithm

机译:基于八卦的因果秩序广播算法

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摘要

Reliable group communication facility with two message ordering constraints, atomic ordering and causal ordering, is essential for distributed systems. But, as the system size rapidly increases, traditional group communication algorithms become unsuitable for very large-scale systems due to their strong reliability properties. To solve the problem, several gossip-based algorithms were presented to significantly improve scalability by ensuring the reasonably weak reliability condition. They are all designed to guarantee totally ordered delivery. However, many distributed applications such as multimedia systems and collaborative work, require causally-ordered message delivery. In this paper, we propose a Probabilistic Causal order BroadCast algorithm, PCBCast, to preserve the inherent scalability of the gossip style approach compared with the existing ones.
机译:可靠的组通信设施,具有两个消息排序约束,原子序排序和因果顺序,对于分布式系统至关重要。但是,由于系统尺寸迅速增加,由于其强的可靠性特性,传统的组通信算法因其强大的系统而不适用于非常大的系统。为了解决这个问题,提出了几种基于八卦的算法,通过确保合理弱的可靠性条件来显着提高可扩展性。他们都设计用于保证完全订购的交付。然而,许多分布式应用程序,例如多媒体系统和协作工作,需要因果上有序的消息传递。在本文中,我们提出了一种概率的因果秩序广播算法,PCBCast,与现有的八卦风格方法的固有可扩展性。

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