تاثیر پردازش و تجزیه و تحلیل داده های بزرگ بهداشت و درمان در محیط رایانش ابری با اجرای خوشه Hadoop ☆
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|74158||2016||7 صفحه PDF||سفارش دهید||2100 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Procedia Computer Science, Volume 85, 2016, Pages 16–22
The critical challenge that the healthcare organizations are facing is to analyze the large-scale data. With the rapid growth of various healthcare applications, various devices used in healthcare generate varieties of data. The data need to be processed and effectively analyzed for better decision making. Cloud computing is a promising technology which can provide on-demand services for storage, processing and analyzing the data. The traditional data processing systems no longer has an ability to process such huge data. In order to achieve a better performance and to solve the scalability issues we need a better distributed system on cloud environment. Hadoop is a framework which can process large scale data sets on distributed environment. Hadoop can be deployed on cloud environment to process the large scale healthcare data. Healthcare applications are being supplied through internet and cloud services rather than using as traditional software. Healthcare providers need to have real time information to provide quality healthcare. This paper discuss on the impacts of data processing and analyzing large scale healthcare data on cloud computing environment.