A use case of humanware and cloud-based cyberinfrastructure: Time-series data classification using machine learning

Yongwook Song; Xu Fu; Chris Richards

doi:10.1145/3355738.3355748

A use case of humanware and cloud-based cyberinfrastructure: Time-series data classification using machine learning

Yongwook Song, Xu Fu, Chris Richards

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	HARC 2019 - Proceedings of the Humans in the Loop
Subtitle of host publication	Enabling and Facilitating Research on Cloud Computing
ISBN (Electronic)	9781450372794
DOIs	https://doi.org/10.1145/3355738.3355748
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 → …

Publication series

Name	ACM International Conference Proceeding Series

Conference

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
Country/Territory	United States
City	Chicago
Period	7/29/19 → …

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.

Funding

This work was supported by funding from the Pervasive Technology Institute at Indiana University, under the Humanware - Advancing Research in the Cloud program [14]. 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.

Funders	Funder number
Indiana University, Pervasive Technology Institute
National Science Foundation (NSF)	1556281
National Institutes of Health (NIH)	DA038817
University of Kentucky

Keywords

Cloud-based computing
HPC system
Humanware
Machine learning
ROI

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3355738.3355748

Cite this

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title = "A use case of humanware and cloud-based cyberinfrastructure: Time-series data classification using machine learning",

abstract = "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.",

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Song, Y, Fu, X & Richards, C 2019, A use case of humanware and cloud-based cyberinfrastructure: Time-series data classification using machine learning. in HARC 2019 - Proceedings of the Humans in the Loop: Enabling and Facilitating Research on Cloud Computing., 6, ACM International Conference Proceeding Series, 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, 7/29/19. https://doi.org/10.1145/3355738.3355748

A use case of humanware and cloud-based cyberinfrastructure: Time-series data classification using machine learning. / Song, Yongwook; Fu, Xu; Richards, Chris.
HARC 2019 - Proceedings of the Humans in the Loop: Enabling and Facilitating Research on Cloud Computing. 2019. 6 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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A use case of humanware and cloud-based cyberinfrastructure: Time-series data classification using machine learning

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this