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JMS: An Open Source Workflow Management System and Web-Based Cluster Front-End for High Performance Computing.

David K Brown1, David L Penkler1, Thommas M Musyoka1

  • 1Research Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Grahamstown, South Africa.

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|August 18, 2015
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Summary
This summary is machine-generated.

The Job Management System (JMS) offers a user-friendly web interface for creating and managing complex computational workflows on high-performance computing (HPC) clusters. This open-source tool integrates workflow and cluster management, aiding researchers in scientific computing.

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Area of Science:

  • Computational Science
  • Bioinformatics
  • Scientific Computing

Background:

  • Complex computational pipelines are essential for modern research but are often resource-intensive.
  • High-performance computing (HPC) clusters are utilized for demanding computational tasks.
  • Integrating research workflows into web servers requires specialized job submission and result retrieval software.

Purpose of the Study:

  • To develop a workflow management system with a web interface for high-performance computing (HPC).
  • To provide researchers with a user-friendly platform for creating and managing complex, multi-stage computational workflows.
  • To combine workflow management with HPC cluster administration and offer developer tools.

Main Methods:

  • Development of the Job Management System (JMS), a web-based workflow management system.
  • Integration of JMS with HPC resource managers for batch job control.
  • Inclusion of developer tools such as a code editor and version control for scripts.

Main Results:

  • JMS provides an intuitive web interface for designing complex workflows.
  • The system seamlessly integrates workflow management with HPC cluster administration.
  • JMS includes features for tool and script versioning, enhancing reproducibility.
  • The system is currently deployed for bioinformatics pipelines at Rhodes University.

Conclusions:

  • JMS simplifies the execution of complex computational pipelines on HPC clusters.
  • The system facilitates the integration of research workflows into external interfaces.
  • JMS is a versatile, open-source solution for scientific computing challenges across various fields.