
The WfCommons project is an open source framework for enabling scientific workflow research and development by providing foundational tools for analyzing workflow execution instances, and generating synthetic, yet realistic, workflow instances that can be used to develop new techniques, algorithms and systems that can overcome the challenges of efficient and robust execution of ever larger workflows on increasingly complex distributed infrastructures. This Python package provides methods for analyzing instances, deriving recipes, and generating representative synthetic workflow instances and benchmarks. This release targets the research and development life cycle of workflow systems and applications, which is composed of the following major components: WfFormat: common format for representing workflow execution instances (this release is compatible with schema version 1.5) WfInstances: workflow execution instances WfChef: workflow recipes WfGen: workflow generator WfBench: workflow benchmarks WfSim: workflow simulators Documentation and additional information: https://wfcommons.org
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
