What is POMS¶
The Production Operations Management System (POMS) is a project to design a service which assists production teams and analysis groups of experiments in their MC production and DATA processing.
POMS provides a web service interface that enables automated jobs submission on distributed resources according customers’ requests and subsequent monitoring and recovery of failed submissions, debugging and record keeping.
The system is interfaced to SAM, the data handling system, to keep track of files and processing, the ECL to keep track of the production and processing operations and FIFEmon for monitoring.
The ultimate goal is the most efficient utilization of all computing resources available to experiments, while providing a simple and transparent interface between users and the complexity of the grid.
While POMS was initially designed for the OPOS team, the capability it provides for very large scale data-intensive distributed computing motivated the POMS project to extend this service to all the Intensity Frontier experiments at Fermilab.
We are currently working with several experiments to help them manage and track their MC production and DATA processing.
Project Team & Mailing Lists¶
- Anna Mazzacane (Project Leader)
- Yuyi Guo
- Marc Mengel
- Margherita Vittone
- Steve White
- Vladimir Podstavkov
Team's mailing list : email@example.com
POMS run behind a web service interface that provides both interactive screens to users, and REST interfaces to scripts that interact with it. This means that experiments can use POMS through their web browser and configure and run their production code, or they can use the
poms_jobsub_wrapper tools to submit jobs through a command line and have POMS tracking, debugging and monitoring them.
The production instance of POMS is at https://poms.fnal.gov
If new to computing at Fermilab, please read: FIFE Wiki page Welcome New Computing Users
Users' mailing list : firstname.lastname@example.org
Topics for people developing POMS.
If you wish to be part of the team and/or contribute to develop a workflow for your experiment and/or have a great professional experience with skilled computing staff, please send an email to email@example.com.
If you don't find your question here, please send an e-mail to firstname.lastname@example.org