On-Demand Big Data Analysis in Digital Repositories: A Lightweight Approach Conference Paper uri icon

abstract

  • We describe a use and reuse driven digital repository integrated with lightweight data analysis capabilities provided by the Docker framework. Using building sensor data collected from the Virginia Tech Goodwin Hall Living Laboratory, we perform evaluations using Amazon EC2 and Container Service with a Fedora 4 repository backed with storage in Amazon S3. The results confirm the viability and benefits of this approach.

name of conference

  • Digital Libraries: Providing Quality Information

published proceedings

  • ICADL 2015: Digital Libraries: Providing Quality Information

author list (cited authors)

  • Xie, Z., Chen, Y., Jiang, T., Speer, J., Walters, T., Tarazaga, P. A., & Kasarda, M.

citation count

  • 0

complete list of authors

  • Xie, Z||Chen, Y||Jiang, T||Speer, J||Walters, T||Tarazaga, PA||Kasarda, M

editor list (cited editors)

  • Allen, R. B., Hunter, J., & Zeng, M. L.

publication date

  • December 2015