A Big Earth Data platform exploiting transparent multimodal parallelization

Kwo Sen Kuo; Yu Pan; Feiyu Zhu; Jin Wang; Michael L. Rilee; Hongfeng Yu

doi:10.1109/IGARSS.2018.8518304

A Big Earth Data platform exploiting transparent multimodal parallelization

Kwo Sen Kuo, Yu Pan, Feiyu Zhu, Jin Wang, Michael L. Rilee, Hongfeng Yu

Computer Science and Engineering

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

4 Scopus citations

Abstract

A Big Earth Data platform has been constructed based on a parallel distributed database management system, SciDB, to demonstrate visual analytics with interactive animation on diverse datasets. This high-performing capability is achieved by exploiting transparent multimodal parallelization, largely enabled by a unifying indexing scheme, STARE, that provides unparalleled variety scaling. Such a platform not only supports effortless interactive data exploration and analysis but also has the potential to systemize machine learning undertakings with diverse and voluminous Earth Science data.

Original language	English (US)
Title of host publication	2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6532-6535
Number of pages	4
ISBN (Electronic)	9781538671504
DOIs	https://doi.org/10.1109/IGARSS.2018.8518304
State	Published - Oct 31 2018
Event	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain Duration: Jul 22 2018 → Jul 27 2018

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2018-July

Conference

Conference	38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Country/Territory	Spain
City	Valencia
Period	7/22/18 → 7/27/18

Keywords

Big data
Machine learning
Visual analytics

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

Access to Document

10.1109/IGARSS.2018.8518304

Cite this

Kuo, K. S., Pan, Y., Zhu, F., Wang, J., Rilee, M. L., & Yu, H. (2018). A Big Earth Data platform exploiting transparent multimodal parallelization. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 6532-6535). Article 8518304 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2018.8518304

A Big Earth Data platform exploiting transparent multimodal parallelization. / Kuo, Kwo Sen; Pan, Yu; Zhu, Feiyu et al.
2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 6532-6535 8518304 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018-July).

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

Kuo, KS, Pan, Y, Zhu, F, Wang, J, Rilee, ML & Yu, H 2018, A Big Earth Data platform exploiting transparent multimodal parallelization. in 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings., 8518304, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018-July, Institute of Electrical and Electronics Engineers Inc., pp. 6532-6535, 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 7/22/18. https://doi.org/10.1109/IGARSS.2018.8518304

Kuo KS, Pan Y, Zhu F, Wang J, Rilee ML, Yu H. A Big Earth Data platform exploiting transparent multimodal parallelization. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 6532-6535. 8518304. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2018.8518304

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A Big Earth Data platform exploiting transparent multimodal parallelization

Abstract

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Keywords

ASJC Scopus subject areas

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