Towards lightweight structural computing techniques with the SmallSC framework

  • Authors:
  • Kenneth M. Anderson

  • Affiliations:
  • University of Colorado, Boulder, Boulder CO

  • Venue:
  • MIS '05 Proceedings of the 2005 symposia on Metainformatics
  • Year:
  • 2005

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Abstract

Since 1997 a significant amount of research has been conducted on the topic of structural computing, leading to the creation of several structural computing systems. Unfortunately, many of these systems require a considerable amount of infrastructure making it difficult for these systems to be used by anyone except their original developers. This situation has hindered the adoption of structural computing techniques by researchers outside of the structural computing field. This paper reports on an effort to create an extensible data model that embodies some of the lessons learned from structural computing research while also being packaged in such a way to enable its easy adoption. We report on how we have used this model in three separate systems and discuss ways in which the model can be enhanced in the future. The paper ends with a call to the structural computing community to form a working group that can help manage an open source release of the SmallSC framework, ensuring that new features added to the framework are ones that the community deems representative of structural computing technology.