Performance Improvement of Tmdm Using Hetrogenous Data Fragmentations and High Speed Clustering
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 8
Abstract
Online applications including Modern Medical Informatics Services which is less demanding, faster and more affordable. The required system executes the appropriate informatics and electronics solutions efficiently for the Tele-medicine care. Notwithstanding, the increasing complexity and the fast development of the real world healthcare challenging applications make it difficult to induce the database administrative staff. We suggest three-fold approach based on data fragmentation, database websites clustering and intelligent data distribution. This approach decreases the amount of information migrated between websites during applications’ execution; accomplisses cost effective communications during applications’ handling and enhances applications’ response time and throughput.To perform many intelligent information redistribution, we apply kmeans clustering algorithms and introduce search based techniques. We characterize a data for doctor as well as patient as a concise of data set of their medical data or information from each visit. There are diverse strategies for accessing various types of medical record or reports will be provided, also we will design two web-based services, high quality data and display for many medical services. The proposed approach is approved inside by estimating the impact of utilizing our computing services’ strategies on various performance features like communications cost, response time, and throughput.
Authors and Affiliations
Mr. J. Srinivasan, S. Krishna Kumar
Keywords
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