Heterojen Medikal IoT Verilerinin Depolanmasında İlişkisel Olmayan Veritabanına Dayalı Bir Yaklaşım

Year 2019, Volume: 22 Issue: 4, 989 - 998, 01.12.2019

Hüseyin Polat , Saadin Oyucu

https://doi.org/10.2339/politeknik.477311

Cited By: 2

Abstract

Modern medikal cihazlar, her türlü
temel medikal veriyi üretme ve iletebilme kabiliyetine sahip olmuşlardır. Bu
cihazlar, birbirleriyle veri paylaşabilir veya bulutta merkezi bir platforma
veri gönderebilir. Sağlık endüstrisinde yeni trend, her zaman ve her yerden
erişilebilecek şekilde, buluttan sunulan elektronik medikal kayıtlarla entegre
bir tıbbi izleme sisteminin oluşturulmasıdır. Hacmi gittikçe artan heterojen
medikal verilerin düşük maliyetle, hızlı ve güvenli bir şekilde veritabanı
sisteminde depolanması, verilerin aktarılması, paylaşılması ve
görselleştirilmesi esastır. Bu çalışmada heterojen medikal verileri
algılayıcılardan toplamak, verileri görselleştirmek ve depolamak için farklı
veritabanı sistemlerini kullanabilecek şekilde bir medikal Nesnelerin İnterneti
(medical Internet of Things – mIoT) platformu gerçekleştirilmiştir. mIoT
platformu üzerinde dört farklı veritabanı modeli dört farklı senaryo ile test
edilmiştir. Bu senaryolarda mIoT platformunda kullanılan veritabanı
modellerinin performansları; sorgu süresi, veri hazırlığı, esneklik, güvenlik
ve ölçeklenebilirlik parametreleri göz önüne alınarak karşılaştırılmıştır. mIoT
platformunda kullanılan ilişkisel olmayan veritabanı modelinin (NoSQL: Not only
Structured Query Language) okuma/yazma işlemlerinde ilişkisel veritabanı
modellerine göre daha verimli çalıştığı, performansının, esnekliğinin ve
ölçeklenebilirliğinin ilişkisel veritabanı sistemlerine göre daha iyi olduğu
gözlemlenmiştir.

Keywords

Medikal IoT, SQL, veritabanı performansı, NoSQL veritabanları

An Approach to Non-Relational Database-Based in the Storing of Heterogeneous Medical IoT Data

Abstract

Modern medical devices have the ability to producing
and transmitting all kinds of basic medical data. These devices can share data
with each other or send data to a central platform in the cloud. The new trend
in the healthcare industry is the creation of a medical monitoring system
integrated with electronic medical records that presented from the cloud, that
can be accessed anytime and anywhere. It is essential to store, transfer, share
and visualize large volume heterogeneous medical data in a low-cost, fast and
secure database system. In this study, a medical Internet of Things (mIoT) platform
that can use different database systems was realized in order to acquisition
heterogeneous medical data from sensors to visualize and store data. Four
different database models on mIoT platform were tested with four different
scenarios. The performance of the database models used in the mIoT platform in
these scenarios; query time, data preparation, flexibility, security and
scalability parameters were compared. It was observed that the non-relational
database model (NoSQL: Not only Structured Query Language) used on the mIoT
platform was more efficient in reading/writing operations than relational
database models, and its performance, flexibility and scalability were better
than relational database systems.

Keywords

Medical IoT, database performance, SQL, NoSQL databases

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