论文标题
因果关系在图形上很简单
Causality is Graphically Simple
论文作者
论文摘要
分布式系统中的事件包括发送或接收消息，或更改节点中的某些状态。并非所有事件都是相关的，但是某些事件会导致并影响其他以后事件。例如，对收到的邮件邮件的答复受该消息的影响，也许还收到了其他先前消息。本文提出了经典因果关系跟踪机制的介绍，并涵盖了一些最新的发展。演示文稿得到了一种新的图形符号支持，该图表允许对所描述的因果关系的直观解释。
Events in distributed systems include sending or receiving messages, or changing some state in a node. Not all events are related, but some events can cause and influence how other, later events, occur. For instance, a reply to a received mail message is influenced by that message, and maybe by other prior messages also received. This article brings an introduction to classic causality tracking mechanisms and covers some more recent developments. The presentation is supported by a new graphical notation that allows an intuitive interpretation of the causality relations described.
