Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows

Wang Zhe
Wang Zhe
Subedi Pradeep
Subedi Pradeep
Duan Shaohua
Duan Shaohua
Qin Yubo
Qin Yubo
Davis Philip
Davis Philip
Cited by: 1|Bibtex|Views18
Other Links: arxiv.org

Abstract:

In order to achieve near-time insights, scientific workflows tend to be organized in a flexible and dynamic way. Data-driven triggering of tasks has been explored as a way to support workflows that evolve based on the data. However, the overhead introduced by such dynamic triggering of tasks is an under-studied topic. This paper discuss...More

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