Atilla ERGÜZEN, Erdal ERDAL, Mahmut ÜNVER

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

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.

Anahtar Kelimeler:

Dağıtık Dosya Sistemi, Medikal Büyük Veri, Dosya Sistemi

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

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,

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