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Appl. Sci. 2018, 8(6), 913; https://doi.org/10.3390/app8060913

Developing a File System Structure to Solve Healthy Big Data Storage and Archiving Problems Using a Distributed File System

Department of Computer Engineering, Faculty of Engineering, Kırıkkale University Ankara Yolu 7. Km, 71450 Kırıkkale, Turkey
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Received: 7 May 2018 / Revised: 29 May 2018 / Accepted: 30 May 2018 / Published: 2 June 2018
(This article belongs to the Special Issue Deep Learning and Big Data in Healthcare)
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Abstract

Recently, the use of internet has become widespread, increasing the use of mobile phones, tablets, computers, Internet of Things (IoT) devices and other digital sources. In the health sector with the help of new generation digital medical equipment, this digital world also has tended to grow in an unpredictable way in that it has nearly 10% of the global wide data itself and continues to keep grow beyond what the other sectors have. This progress has greatly enlarged the amount of produced data which cannot be resolved with conventional methods. In this work, an efficient model for the storage of medical images using a distributed file system structure has been developed. With this work, a robust, available, scalable, and serverless solution structure has been produced, especially for storing large amounts of data in the medical field. Furthermore, the security level of the system is extreme by use of static Internet protocol (IP), user credentials, and synchronously encrypted file contents. One of the most important key features of the system is high performance and easy scalability. In this way, the system can work with fewer hardware elements and be more robust than others that use name node architecture. According to the test results, it is seen that the performance of the designed system is better than 97% from a Not Only Structured Query Language (NoSQL) system, 80% from a relational database management system (RDBMS), and 74% from an operating system (OS). View Full-Text
Keywords: big data; distributed file system; health data; medical imaging big data; distributed file system; health data; medical imaging
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Ergüzen, A.; Ünver, M. Developing a File System Structure to Solve Healthy Big Data Storage and Archiving Problems Using a Distributed File System. Appl. Sci. 2018, 8, 913.

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