Paper Title
Integrated Fragmentation Clustering Allocation Approach for Promote Web Telemedicine Database System

Abstract
Although the application of telemedicine evolutionary to cover a wide area of users’ 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. So web telemedicine database systems used for access to patient data from any location. The real world healthcare challenging application makes it hard to induce the database administrative staff. Traditional approaches for promote web telemedicine database systems focus on small networks involves minimum number of sites over the cloud. These are works on limited clustering algorithms. To overcome this Limitation, we need a new approach for promoting web telemedicine database system. In this project we proposed a novel Integrated Fragmentation clustering allocation approach for increase care admissions and decrease care difficulties on Approach that manages the computing web services that are required to promote telemedicine database system performance. Our approach focused on large scale networks involving large number of sites over the cloud. To perform more intelligent data redistribution, we apply different types of clustering algorithms and introduce search based techniques. The security concerns, need for addressing over data fragments will be taken into consideration for better results. Keywords— WTDS, IFCA, Fragmentation, Clustering.