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Operation of the Collaborative Composite Manufacturing (CCM) System
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The CARMEN software as a service infrastructure.

Michael Weeks1, Mark Jessop, Martyn Fletcher

  • 1Advanced Computer Architectures Group, Department of Computer Science, University of York, York YO10 5DD, UK. michael.weeks@york.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|December 12, 2012
PubMed
Summary
This summary is machine-generated.

The CARMEN platform enables neuroscientists to share and remotely execute data analysis services and workflows. This virtual laboratory facilitates the deployment of diverse scientific code as services, simplifying complex analyses.

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Area of Science:

  • Neuroscience
  • Computational Science
  • Bioinformatics

Background:

  • Neuroscience research generates vast datasets requiring sophisticated analysis.
  • Existing platforms often lack flexibility for integrating diverse computational tools.
  • Remote execution and data sharing are critical for collaborative neuroscience.

Purpose of the Study:

  • To describe the implementation of a service-based infrastructure within the CARMEN Virtual Laboratory.
  • To enable neuroscientists to deploy and execute analysis code as services.
  • To facilitate the creation and discovery of reusable scientific services.

Main Methods:

  • Developed a Software as a Service (SaaS) framework for deploying generic code.
  • Enabled wrapping of analysis code (Matlab, Python, C/C++, R) as services.
  • Created the CARMEN Service Builder tool for simplified service deployment.
  • Implemented a metadata schema for service description and a search functionality.
  • Integrated a workflow tool for combining services into complex analyses.

Main Results:

  • Successfully deployed a service-based infrastructure in the CARMEN Virtual Laboratory.
  • Users can deploy diverse analysis code as services without deep technical knowledge.
  • Services are discoverable and combinable via a workflow tool.
  • The platform supports heterogeneous execution frameworks.

Conclusions:

  • The CARMEN platform provides a flexible, service-oriented infrastructure for neuroscience research.
  • The implemented system simplifies the deployment and execution of computational analyses.
  • CARMEN is a generic platform adaptable to various scientific disciplines.