Implementing RAID-3 on cloud storage for EMR system

Pao Ching Chen; Chih Pin Freg; Ting Wei Hou; W. G. Teng

doi:10.1109/COMPSYM.2010.5685395

Implementing RAID-3 on cloud storage for EMR system

Pao Ching Chen, Chih Pin Freg, Ting Wei Hou, W. G. Teng

Department of Engineering Science

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

8 Citations (Scopus)

Abstract

The demand of storage space for electronic medical records is an issue for patient record digitalization. Mass storage and reliability of the cloud system do offer one solution for electronic medical records. However, cloud computing has significant implications for the privacy of patient information as well as for the confidentiality of hospitals. In this paper we present a new method of storing electronic medical records distributed at two different clouds and a local site using RAID-3 algorithm. By RAID-3, the segmented data stored at each cloud is meaningless and cannot be used alone. This will enhance the security of data then protect the privacy of patients. A prototype is implemented. Using 332K medical data as a benchmark to upload, in average, it takes 1.94 seconds and 3.69 seconds for the cloud storages, respectively.

Original language	English
Title of host publication	ICS 2010 - International Computer Symposium
Pages	850-853
Number of pages	4
DOIs	https://doi.org/10.1109/COMPSYM.2010.5685395
Publication status	Published - 2010
Event	2010 International Computer Symposium, ICS 2010 - Tainan, Taiwan Duration: 2010 Dec 16 → 2010 Dec 18

Publication series

Name	ICS 2010 - International Computer Symposium

Other

Other	2010 International Computer Symposium, ICS 2010
Country/Territory	Taiwan
City	Tainan
Period	10-12-16 → 10-12-18

All Science Journal Classification (ASJC) codes

General Computer Science

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10.1109/COMPSYM.2010.5685395

Cite this

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title = "Implementing RAID-3 on cloud storage for EMR system",

abstract = "The demand of storage space for electronic medical records is an issue for patient record digitalization. Mass storage and reliability of the cloud system do offer one solution for electronic medical records. However, cloud computing has significant implications for the privacy of patient information as well as for the confidentiality of hospitals. In this paper we present a new method of storing electronic medical records distributed at two different clouds and a local site using RAID-3 algorithm. By RAID-3, the segmented data stored at each cloud is meaningless and cannot be used alone. This will enhance the security of data then protect the privacy of patients. A prototype is implemented. Using 332K medical data as a benchmark to upload, in average, it takes 1.94 seconds and 3.69 seconds for the cloud storages, respectively.",

author = "Chen, {Pao Ching} and Freg, {Chih Pin} and Hou, {Ting Wei} and Teng, {W. G.}",

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AU - Chen, Pao Ching

AU - Freg, Chih Pin

AU - Hou, Ting Wei

AU - Teng, W. G.

PY - 2010

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AB - The demand of storage space for electronic medical records is an issue for patient record digitalization. Mass storage and reliability of the cloud system do offer one solution for electronic medical records. However, cloud computing has significant implications for the privacy of patient information as well as for the confidentiality of hospitals. In this paper we present a new method of storing electronic medical records distributed at two different clouds and a local site using RAID-3 algorithm. By RAID-3, the segmented data stored at each cloud is meaningless and cannot be used alone. This will enhance the security of data then protect the privacy of patients. A prototype is implemented. Using 332K medical data as a benchmark to upload, in average, it takes 1.94 seconds and 3.69 seconds for the cloud storages, respectively.

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Implementing RAID-3 on cloud storage for EMR system

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