BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20210402T160557Z
LOCATION:Track 9
DTSTART;TZID=America/New_York:20201111T160000
DTEND;TZID=America/New_York:20201111T163000
UID:submissions.supercomputing.org_SC20_sess196_ws_works108@linklings.com
SUMMARY:WorkflowHub: Community Framework for Enabling Scientific Workflow 
 Research and Development
DESCRIPTION:Workshop\n\nWorkflowHub: Community Framework for Enabling Scie
 ntific Workflow Research and Development\n\nFerreira da Silva, Pottier, Co
 leman, Deelman, Casanova\n\nScientific workflows are a cornerstone of mode
 rn scientific computing. They are used to describe complex computational a
 pplications that require efficient and robust management of large volumes 
 of data, which are typically stored/processed at heterogeneous, distribute
 d resources. The workflow research and development community has employed 
 a number of methods for the quantitative evaluation of existing and novel 
 workflow algorithms and systems. In particular, a common approach is to si
 mulate workflow executions. In previous work, we have presented a collecti
 on of tools that have been used for aiding research and development activi
 ties in the Pegasus project, and that have been adopted by others for cond
 ucting workflow research.  Despite their popularity, there are several sho
 rtcomings that prevent easy adoption, maintenance, and consistency with th
 e evolving structures and computational requirements of production workflo
 ws.  In this work, we present WorkflowHub, a community framework that prov
 ides a collection of tools for analyzing workflow execution traces, produc
 ing realistic synthetic workflow traces, and simulating workflow execution
 s. We demonstrate the realism of the generated synthetic traces by compari
 ng simulated executions of these traces with actual workflow executions. W
 e also contrast these results with those obtained when using the previousl
 y available collection of tools. We find that our framework not only can b
 e used to generate representative synthetic workflow traces (i.e., with wo
 rkflow structures and task characteristics distributions that resembles th
 ose in traces obtained from real-world workflow executions), but can also 
 generate representative workflow traces at larger scales than that of avai
 lable workflow traces.\n\nTag: Scientific Computing, Workflows\n\nRegistra
 tion Category: Workshop Reg Pass
END:VEVENT
END:VCALENDAR