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DTSTART;TZID=America/Denver:20231113T121500
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UID:submissions.supercomputing.org_SC23_sess450_ws_worksa102@linklings.com
SUMMARY:The Common Workflow Scheduler Interface:  Status Quo and Future Pl
 ans
DESCRIPTION:Fabian Lehmann (Humboldt-Universität zu Berlin), Jonathan Bade
 r (Berlin Institute of Technology), Lauritz Thamsen (University of Glasgow
 ), and Ulf Leser (Humboldt-Universität zu Berlin)\n\nNowadays, many scient
 ific workflows from different domains, such as Remote Sensing, Astronomy, 
 and Bioinformatics, are executed on large computing infrastructures manage
 d by resource managers.  Scientific workflow management systems (SWMS) sup
 port the workflow execution and communicate with the infrastructures' reso
 urce managers.  However, the communication between SWMS and resource manag
 ers is complicated by a) inconsistent interfaces between SMWS and resource
  managers and b) the lack of support for workflow dependencies and workflo
 w-specific properties.\n\nTo tackle these issues, we developed the Common 
 Workflow Scheduler Interface (CWSI), a simple yet powerful interface to ex
 change workflow-related information between a SWMS and a resource manager,
  making the resource manager workflow-aware.  The first prototype implemen
 tations show that the CWSI can reduce the makespan already with simple but
  workflow-aware strategies up to 25%.  We show how existing workflow resou
 rce management research can be integrated into the CWSI.\n\nTag: Data Anal
 ysis, Visualization, and Storage, Large Scale Systems, Programming Framewo
 rks and System Software, Reproducibility, Resource Management, Runtime Sys
 tems\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Silvin
 a Caino-Lores (National Institute for Research in Digital Science and Tech
 nology (Inria)) and Anirban Mandal (Renaissance Computing Institute (RENCI
 ), University of North Carolina at Chapel Hill)\n\n
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