Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Improved Performance Of Web Based Database Management For Telemedicine By Using Three Fold Approach Of Data Fragmentation,Websites Data Clustering And Data Allocation

Author : Sneha Katale G 1 Abhijeet Kashid S 2 Jyoti Dange 3 Sonali Hotkar 4 Ms.Nisha Kimmatkar 5

Date of Publication :7th April 2016

Abstract: Many web computing systems are running real time database services where their information change continuously and expand incrementally. In this context, web data services have a major role and draw significant improvements in monitoring and controlling the information truthfulness and data propagation. Currently, web telemedicine database services are of central importance to distributed systems. However, the increasing complexity and the rapid growth of the real world healthcare challenging applications make it hard to induce the database administrative staff. In this paper, we build an integrated web data services that satisfy fast response time for large scale Tele-health database management systems. Our focus will be on database management with application scenarios in dynamic telemedicine systems to increase care admissions and decrease care difficulties such as distance, travel, and time limitations. We propose three-fold approach based on data fragmentation, database websites clustering and intelligent data distribution. This approach reduces the amount of data migrated between websites during applications’ execution; achieves cost effective communications during applications’ processing and improves applications’ response time and throughput. The proposed approach is validated internally by measuring the impact of using our computing services’ techniques on various performance features like communications cost, response time, and throughput.

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