With the advancement of cloud computing, many challenging scientific problems can be solved using scientific workflow technology which integrates geo-distributed instruments, applications, and big data effectively and efficiently. For workflow collaboration, the workflow protocols of all participants are needed. However, workflow protocols are not always available and are often outdated as the workflow evolve frequently. To address this problem, we propose a novel workflow discovery approach which can extract up-to-date scientific workflow protocols from public event logs in clouds, without the need to access the full-fledged event logs involving private events. Our approach leverages transitive precedence relations between events to achieve this. We implement our approach as a ProM plug-in, and evaluate it through extensive experiments on event logs of real-world scientific workflows. The experimental results demonstrate that our approach requires a weaker completeness notion of event logs than the state-of-the-art do, and our approach derives the same workflow protocol from the public event log as that discovered from the original event log, and thus the private events can be protected.

中文翻译：

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从云中的公共事件日志中发现科学工作流协议

随着云计算的进步，许多具有挑战性的科学问题可以使用科学工作流技术有效地、高效地集成地理分布式仪器、应用程序和大数据来解决。对于工作流协作，需要所有参与者的工作流协议。然而，工作流程协议并不总是可用的，并且随着工作流程的频繁发展而经常过时。为了解决这个问题，我们提出了一种新颖的工作流发现方法，该方法可以从云中的公共事件日志中提取最新的科学工作流协议，而无需访问涉及私人事件的完整事件日志。我们的方法利用事件之间的传递优先关系来实现这一点。我们将我们的方法实现为 ProM 插件，并通过对真实世界科学工作流程事件日志的大量实验对其进行评估。实验结果表明，我们的方法比最先进的方法需要更弱的事件日志完整性概念，并且我们的方法从公共事件日志中导出与从原始事件日志中发现的相同的工作流协议，因此可以保护私人事件。