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Improving Services of TDMS Through High Performance Computing

Author(s):

Poonam Dattatray Gavhane , JSPM's BSIOTR; Shubhangi Dayanand Kalshetti, JSPM's BSIOTR; Prashant Parmeshwar Ghodeswar, JSPM's BSIOTR; Sarita Siddheshwar Gaikwad, JSPM's BSIOTR

Keywords:

WTDS, IFCA, Fragmentation, Clustering, Network Sites, Allocation, Distributed Database Management System

Abstract

Although the application of telemedicine evolutionary to cover a wide area of user’s needs, data centralization is not achieved yet. Also, approach to patient data from any remote location, through a secure environment, is necessary to achieve doctor’s collaboration and remote data handling. Now a day’s web computing and mobile computing systems are running on real time database services where their data will change continuously and expand fastly. The increasing complexity and the continuously growth of the websites of tele health care challenging applications make it complicated to handle the database to the database administrative staff. We can create an integrated web data services it has high performance of response time for Tele-health application systems. Our main goal is to be decrease care problems like distance, travel, and time limitation set can increase care admissions .We proposed an approach to handle several medical databases in the telemedicine system. In order to effectively and efficiently manage, display and search database information. We define an information for doctor as well as patient as a concise of dataset of their medical data or information from each visit. There are several techniques for accessing different types of medical record or reports those are provided, also we can design two web-based services, high quality data and display for many medical services. We implement integrated approach based on web sites clustering, data fragmentation and intelligent data distribution. These techniques reduce the amount of data transfer among various websites during applications execution. It reduce cost of communications during application processing and increase applications response time and throughput.

Other Details

Paper ID: IJSRDV5I21691
Published in: Volume : 5, Issue : 2
Publication Date: 01/05/2017
Page(s): 2130-2134

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