An Architecture for Online-Diagnosis Systems Supporting Compressed Communication
An Architecture for Online-Diagnosis Systems Supporting Compressed Communication
复制标题
支持压缩通信的在线诊断系统体系结构
DOI：
10.1109/dsd.2017.46
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Simon Plasger
中科院分区：
文献类型：
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作者：
Seungbum Jo;Markus Lohrey;Damian Ludwig;Simon Meckel;R. Obermaisser;Simon Plasger
在线诊断具有检测、识别以及在可能的情况下从已发生的故障中恢复的能力，有助于实现容错系统。对发生的故障做出合理的决策是针对故障的恢复操作的基础。为此，通常需要分析和评估大量数据。在分布式系统上实现的诊断过程需要在网络之间通信所有这些数据，这在通信资源和时间方面是一件昂贵的事情。本文提出了一种具有实时约束的分布式在线诊断系统的体系结构，该系统支持数据压缩以减少通信时间。我们进一步提出了一种具有保证压缩比的、适合于实时目的的有损压缩方法。
With its ability to detect, identify and, if applicable, recover from occurred faults, online-diagnosis can help achieving fault-tolerant systems. A sound decision on an occurred fault is the foundation for fault-specific recovery actions. For this, typically a large amount of data has to be analyzed and evaluated. A diagnostic process implemented on a distributed system needs to communicate all those data among the network which is an expensive affair in terms of communication resources and time. In this paper we present an architecture for a distributed online diagnosis system with real time constraints that supports data compression to reduce the communication time. We further present a lossy compression method with a guaranteed compression ratio that is suitable for real time purposes.
使用时间和事件触发消息在分布式系统上调度数据压缩
DOI：
10.1007/978-3-319-54999-6_15
发表时间：
2017
期刊：
影响因子：
--
作者：
D. Ludwig;R. Obermaisser
通讯作者：
R. Obermaisser