Developing a Health-Specific File System Using a Distributed File System

Year 2018, Volume: 10 Issue: 3, 66 - 71, 31.12.2018

Atilla Ergüzen , Erdal Erdal , Mahmut Ünver

https://doi.org/10.29137/umagd.484995

Abstract

With the increase of Internet usage, the use of
digital devices, especially computers, telephones and tablets has increased. In
addition, the concept of Internet of Things started to enter our lives with the
developing technology. The health sector is one of the sectors most affected by
technological developments. It has 10% of all world data of digital equipment
used in health sector. And the data generated in this area is increasing day by
day. With the introduction of the Internet of Things concept into the field of
health, the data size in this area has started to increase very rapidly. The
aim of this study is to develop a health-specific distributed file system. The
proposed method proposes a scalable, robust and serverless distributed
architecture for storing data in the healthcare field. Security is prioritized
and static IP and encryption methods have been used. The proposed system
provides high performance. In addition, the name node architecture used in the
literature has a more robust architecture. According to experimental results,
the developed system has a better result than 93% according to NoSQL systems,
78% according to relational database management systems and 71% compared to
operating systems.

Keywords

Distributed File System, Medical Big Data, File System

Developing a Health-Specific File System Using a Distributed File System

Abstract

İnternet kullanımının artmasıyla birlikte
özellikle bilgisayar, telefon ve tablet gibi dijital cihazların kullanımı
artmıştır. Ek olarak, Nesnelerin İnterneti kavramı gelişen teknolojiyle
hayatımıza girmeye başladı. Sağlık sektörü, teknolojik gelişmelerden en çok etkilenen
sektörlerden biridir. Sağlık sektöründe kullanılan dijital ekipmanların tüm
dünya verilerinin% 10'una sahiptir. Ve bu alanda üretilen veriler her geçen gün
artmaktadır. Nesnelerin İnterneti kavramının sağlık alanına girmesiyle bu
alandaki veri büyüklüğü hızla artmaya başladı. Bu çalışmanın amacı, sağlığa
özel bir dağıtılmış dosya sistemi geliştirmektir. Önerilen yöntem, sağlık
alanında veri depolamak için ölçeklenebilir, sağlam ve sunucusuz dağıtılmış bir
mimari önermektedir. Güvenlik önceliklidir ve statik IP ve şifreleme yöntemleri
kullanılmıştır. Önerilen sistem, yüksek performans sağlar. Ayrıca, literatürde
kullanılan isim düğümü mimarisi daha sağlam bir mimariye sahiptir. Deney
sonuçlarına göre geliştirilen sistem NoSQL sistemlerine göre% 93, ilişkisel
veritabanı yönetim sistemlerine göre% 78 ve işletim sistemlerine göre% 71 daha
iyi sonuç vermektedir.

Keywords

Dağıtık Dosya Sistemi, Medikal Büyük Veri, Dosya Sistemi

References

• 1. Anonim, Internet Statistics, http://www.internetlivestats.com/internet-users/#trend (Erişim Tarihi:16.07.2016)
• 2. Anonim, Virtualization&Cloud, http://www.vcloudnews.com/every-day-big-data-statistics-2-5-quintillion-bytes-of-data-created-daily/ (Erişim Tarihi:17.02.2017).
• 3. Anonim, L. Mearian, Scientists calculate total data stored to date: 295+ exabytes, https://www.computerworld.com/article/2513110/data-center/scientists-calculate-total-data-stored-to-date--295--exabytes.html (Erişim Tarihi: 30.03.2018)
• 4. B. B. Dean, Use of Electronic Medical Records for Health Outcomes Research, Medical Care Research and Review, 66 (6), 611-638, 2009.
• 5. Erguzen ve E. Erdal, "Medical Image Archiving System Implementation with Lossless Region of Interest and Optical Character Recognition," Journal of Medical Imaging and Health Informatics, 7, 1-7, 2017.
• 6. Thomson, D. J. Abadi, CalvinFS: Consistent WAN Replication and Scalable Metadata Management for Distributed File Systems, 13th USENIX Conference on File and Storage Technologies (FAST ’15), Santa Clara, CA, USA, 2015.
• 7. A. Ellis ve R. A. Floyd, The ROE File System, 3rd Symposium on Reliability in Distributed Software and Database Systems, Clearwater Beach, FL, USA, 1983.
• 8. R. Sandberg, D. Goldberg, S. Kleiman, D. Walsh ve B. Lyon, Design and Implemantation of The Sun Network File System, USENIX Conference and Exhibition, Portland, Oregon, USA, 1985.
• 9. G. Coulouris, J. Dollimore, T. Kindberg ve G. Blair, Distributed Systems: Concepts and Design 5th, USA: Addison-Wesley Publishing Company, 2011.
• 10. S. A. Weil, S. A. Brandt, E. L. Miller, D. D. E. Long and C. Maltzahn, Ceph: A Scalable, High-Performance Distributed File System, OSDI '06 7th Symposium on Operating Systems Design and Implementation, Seattle, Washington, USA, 2006.
• 11. K. Shvachko, H. Kuang, S. Radia, The Hadoop Distributed File System, Mass Storage Systems and Technologies (MSST), 2010 IEEE 26th Symposium on, Incline Village, NV, USA, 2010.
• 12. M. S. Al-Kahtani, L. Karim, An Efficient Distributed Algorithm for Big Data Processing, Arabian Journal for Science and Engineering, 42 (8): 3149-3157, 2017.
• 13. Ergüzen ve M. Ünver, Developing a File System Structure to Solve Healthy Big Data Storage and Archiving Problems Using a Distributed File System, Appl. Sci., 8(6), 913, 2018.