Cyberinfrastructure for the analysis of ecological acoustic sensor data: a use case study in grid deployment

  • Authors:

  • Randy Butler;Mark Servilla;Stuart Gage;Jim Basney;Von Welch;Bill Baker;Terry Fleury;Patrick Duda;David Gehrig;Michael Bletzinger;Jing Tao;D. Michael Freemon

  • Affiliations:

  • National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana-Campain, USA 61821;Long Term Ecological Research (LTER) Network Office, University of New Mexico, Albuquerque, USA 87131;Kellogg Biological Station (KBS) LTER, Michigan State University, East Lansing, USA 48824;National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana-Campain, USA 61821;National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana-Campain, USA 61821;National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana-Campain, USA 61821;National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana-Campain, USA 61821;National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana-Campain, USA 61821;National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana-Campain, USA 61821;National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana-Campain, USA 61821;National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara, USA 93101;National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana-Campain, USA 61821

  • Venue:
  • Cluster Computing
  • Year:
  • 2007

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Abstract

The LTER Grid Pilot Study was conducted by the National Center for Supercomputing Applications, the University of New Mexico, and Michigan State University, to design and build a prototype grid for the ecological community. The featured grid application, the Biophony Grid Portal, manages acoustic data from field sensors and allows researchers to conduct real-time digital signal processing analysis on high-performance systems via a web-based portal. Important characteristics addressed during the study include the management, access, and analysis of a large set of field collected acoustic observations from microphone sensors, single signon, and data provenance. During the development phase of this project, new features were added to standard grid middleware software and have already been successfully leveraged by other, unrelated grid projects. This paper provides an overview of the Biophony Grid Portal application and requirements, discusses considerations regarding grid architecture and design, details the technical implementation, and summarizes key experiences and lessons learned that are generally applicable to all developers and administrators in a grid environment.