Humanware, the human component of cyberinfrastructure, is focused on understanding and developing the human expertise needed to support computationally-based research with the goal of maximizing efficiency, productivity, and return on investment associated with cyberinfrastructure. In this paper, we present an example use case describing the humanware challenges associated with leveraging cloud-based cyberinfrastructure to implement a machine learning software framework that classifies ambiguous time-series data sets. Our project demonstrates that collaboration between researchers and cyberinfrastructure experts significantly advanced our empirical research efforts and maximized the return on investment by utilizing a cost-efficient cloud-based cyberinfrastructure.
|Title of host publication||HARC 2019 - Proceedings of the Humans in the Loop|
|Subtitle of host publication||Enabling and Facilitating Research on Cloud Computing|
|State||Published - Jul 29 2019|
|Event||2019 Workshop on Humans in the Loop: Enabling and Facilitating Research on Cloud Computing, HARC 2019, a Workshop held at the PEARC 2019 Conference - Chicago, United States|
Duration: Jul 29 2019 → …
|Name||ACM International Conference Proceeding Series|
|Conference||2019 Workshop on Humans in the Loop: Enabling and Facilitating Research on Cloud Computing, HARC 2019, a Workshop held at the PEARC 2019 Conference|
|Period||7/29/19 → …|
Bibliographical noteFunding Information:
This work was supported by funding from the Pervasive Technology Institute at Indiana University, under the Humanware - Advancing
Research in the Cloud program . The research reported in this publication was also supported by the Center for Computational Sciences in the University of Kentucky, the National Institutes of Health under award number DA038817, and the National Science Foundation under Grant No. 1556281. We especially thank Dr. James Griffioen, who provided insight and comments that significantly improved the manuscript.
© 2019 Association for Computing Machinery.
- Cloud-based computing
- HPC system
- Machine learning
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications