Towards the Design of a System and a Workflow Model for Medical Big Data Processing in the Hybrid Cloud

Yong Hyun Kim; Eui Nam Huh

doi:10.1109/DASC-PICom-DataCom-CyberSciTec.2017.207

Towards the Design of a System and a Workflow Model for Medical Big Data Processing in the Hybrid Cloud

Yong Hyun Kim, Eui Nam Huh

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

7 Citations (Scopus)

Abstract

Globally, a big data analytics technology is being issued in various business areas including the medical field. Because the technologies demand a large number of resources, studies on a distributed cloud including a hybrid cloud technology are needed. However, there are limitations of performance and cost since the most of hospitals use the private cloud of low computing resource. Thus, a research on the hybrid cloud is required to resolve the limitations. In this paper, we propose and evaluate a system called BigPros for medical big data processing with the proposed workflow model in the hybrid cloud resolving above issues. Based on this study, the BigPros can provide an efficient data processing method for a medical big data analytics in the hybrid cloud environment.

Original language	English
Title of host publication	Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1288-1291
Number of pages	4
ISBN (Electronic)	9781538619551
DOIs	https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.207
Publication status	Published - 2 Jul 2017
Event	15th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017 - Orlando, United States Duration: 6 Nov 2017 → 11 Nov 2017

Publication series

Name	Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017
Volume	2018-January

Conference

Conference	15th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017
Country/Territory	United States
City	Orlando
Period	6/11/17 → 11/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Big data Computing; Hybrid Cloud; Dynamic Workflow; Directed Acyclic Graph; MapReduce

Access to Document

10.1109/DASC-PICom-DataCom-CyberSciTec.2017.207

Cite this

Kim, Y. H., & Huh, E. N. (2017). Towards the Design of a System and a Workflow Model for Medical Big Data Processing in the Hybrid Cloud. In Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017 (pp. 1288-1291). (Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.207

Kim, Yong Hyun ; Huh, Eui Nam. / Towards the Design of a System and a Workflow Model for Medical Big Data Processing in the Hybrid Cloud. Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1288-1291 (Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017).

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Kim, YH & Huh, EN 2017, Towards the Design of a System and a Workflow Model for Medical Big Data Processing in the Hybrid Cloud. in Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017. Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1288-1291, 15th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017, Orlando, United States, 6/11/17. https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.207

Towards the Design of a System and a Workflow Model for Medical Big Data Processing in the Hybrid Cloud. / Kim, Yong Hyun; Huh, Eui Nam.
Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1288-1291 (Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017; Vol. 2018-January).

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

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M3 - Conference contribution

AN - SCOPUS:85048075955

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Kim YH, Huh EN. Towards the Design of a System and a Workflow Model for Medical Big Data Processing in the Hybrid Cloud. In Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1288-1291. (Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017). doi: 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.207

Towards the Design of a System and a Workflow Model for Medical Big Data Processing in the Hybrid Cloud

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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