因果时间戳和因果排序的应用程序级实现

A. Berry
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引用次数: 0

摘要

分布式系统中因果关系信息的维护以前是在通信基础设施中实现的,重点是为分布式服务提供可靠性和可用性。虽然这种方法有许多优点,但将因果关系信息向上移动到应用程序程序员的视图和控制中是有用的,并且在某些情况下是更可取的。在昆士兰大学(University of Queensland)的一项实验中,已经实现了支持应用级因果关系信息维护的图书馆。这些库允许在程序员控制下收集和使用因果关系信息,为应用程序管理和故障排除提供因果依赖信息提供基础。这些库在支持基于远程过程调用范例的现有分布式系统方面也是独一无二的。本文描述了因果关系的基本理论,以及库的设计和实现。使用事件报告服务示例来激励该方法,并且在设计过程中解决了许多以前未解决的实际问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An application-level implementation of causal timestamps and causal ordering
Maintenance of causality information in distributed systems has previously been implemented in the communications infrastructure with the focus on providing reliability and availability for distributed services. While this approach has a number of advantages, moving causality information up into the view and control of the application programmer is useful, and in some cases, preferable. In an experiment at the University of Queensland, libraries to support application-level maintenance of causality information have been implemented. The libraries allow the collection and use of causality information under programmer control, supplying a basis for making causal dependency information available for application management and troubleshooting. The libraries are also unique in supporting existing distributed systems based on the remote procedure call paradigm. This paper describes the underlying theory of causality, and the design and implementation of the libraries. An event reporting service example is used to motivate the approach, and a number of previously unresolved practical problems are addressed in the design process.
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