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The 18th Workshop on Workflows in Support of Large-Scale Science (WORKS23)
DescriptionScientific workflows have underpinned some of the most significant discoveries of the past several decades. Workflow management systems provide abstraction and automation which enable a broad range of researchers to easily define sophisticated computational processes and to then execute them efficiently on parallel and distributed computing systems. Workflows are becoming more complex and require more sophisticated workflow management capabilities.
This workshop focuses on the many facets of scientific workflow management systems, ranging from actual execution to service management and the coordination and optimization of data, service, and job dependencies. The workshop covers a broad range of issues in the scientific workflow lifecycle that include: scientific workflows representation; workflow scheduling techniques to optimize the execution on heterogeneous infrastructures; provisioning workflows on infrastructures; workflow engines that deal with failures in the application and infrastructure; and computer science problems related to scientific workflows such as semantic technologies, compiler methods, fault tolerance, etc.
This workshop focuses on the many facets of scientific workflow management systems, ranging from actual execution to service management and the coordination and optimization of data, service, and job dependencies. The workshop covers a broad range of issues in the scientific workflow lifecycle that include: scientific workflows representation; workflow scheduling techniques to optimize the execution on heterogeneous infrastructures; provisioning workflows on infrastructures; workflow engines that deal with failures in the application and infrastructure; and computer science problems related to scientific workflows such as semantic technologies, compiler methods, fault tolerance, etc.
Event Type
Workshop
TimeSunday, 12 November 20232pm - 2:01pm MST
Location501-502
Applications
Cloud Computing
Distributed Computing
Edge Computing
Large Scale Systems
W