Developing a file system structure to solve healthy big data storage and archiving problems using a distributed file system

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dc.contributor.authorErgüzen A.
dc.contributor.authorünver M.
dc.date.accessioned2020-06-25T15:17:57Z
dc.date.available2020-06-25T15:17:57Z
dc.date.issued2018
dc.departmentKırıkkale Üniversitesi
dc.description.abstractRecently, 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). © 2018 by the authors.en_US
dc.description.sponsorship2016/107–2017/084en_US
dc.description.sponsorshipAcknowledgments: This work has been partly supported by the Kırıkkale University Department of Scientific Research Projects (2016/107–2017/084).en_US
dc.identifier.doi10.3390/app8060913
dc.identifier.issn20763417
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85048127631
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/app8060913
dc.identifier.urihttps://hdl.handle.net/20.500.12587/2580
dc.identifier.volume8en_US
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMDPI AGen_US
dc.relation.ispartofApplied Sciences (Switzerland)
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBig dataen_US
dc.subjectDistributed file systemen_US
dc.subjectHealth dataen_US
dc.subjectMedical imagingen_US
dc.titleDeveloping a file system structure to solve healthy big data storage and archiving problems using a distributed file systemen_US
dc.typeArticle

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