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DTSTAMP:20181221T160904Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181113T083000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess325_spost110@linklings.com
SUMMARY:Monitoring Parsl Workflows
DESCRIPTION:ACM Student Research Competition, Poster\nTech Program Reg Pas
 s, Exhibits Reg Pass\n\nMonitoring Parsl Workflows\n\nPigg\n\nAs a Python 
 library that enables workflows, Parsl gives users the ability to define co
 mplex workflows in Python and run them in parallel on any computer system.
  This poster describe the process of adding monitoring to Parsl. Simple an
 d comprehensive monitoring of a workflow’s state and resource usage lets u
 sers audit, debug, and confirm workflow execution.  The poster discusses h
 ow Parsl monitors workflow components, what data it captures (task status 
 and resource usage), and the tools it used to do so (Elasticsearch) and to
  display the information (Kibana). A Kibana dashboard visualizes the colle
 cted logs in a real time, with an interactive user interface. This enhance
 d Parsl allows users the option to monitor the status and resource usage o
 f their workflows via an Elasticsearch database and Kibana dashboard.
URL:https://sc18.supercomputing.org/presentation/?id=spost110&sess=sess325
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