Published In : IJCSN Journal Volume 5, Issue 3

Date of Publication : June 2016

Pages : 535-543

Figures :03

Tables : --

Publication Link : An Approach for Integrating Data with Uncertainty Schema in a Slow Network Connection

 

 

 

Vitalis Ndume : Dares Salaam Institute of Technology, Tanzania

Jesuk Ko : Department of Healthcare Management, Gwangju University, Korea

 

 

 

 

 

 

 

Data Integration, Batch Algorithm, Staging Database, Web Services

It is concluded that despite practical challenges in data integration; integrating big data sets in a low bandwidth environment requires mapping rules that deploy mechanism of mapping from heterogeneous data to homogenous data and vice versa. The proposed architecture can be useful to provide scientists with timely data for modeling. The model also unifies and provides a broader population of data set and wide set of health indicators to epidemiologists than it used to be in a traditional approach of requesting and integrating pieces of data using CD-ROM. It is anticipated that the design architecture provides a novel web service infrastructure implementation of distributed data, and evaluating the web service paradigm in a low bandwidth environment. The algorithm applied can cut off the transfer and execution time to (2On) and hence it is cost effective in terms of time. It is therefore, capable of transferring data in a network with higher disconnection. It is also noted that, despite of practical challenges in data integration, the process of integrating health data sets in a low bandwidth environment require a mapping rules that deploy mechanism of mapping from heterogeneous to homogenous and localizing the execution operation. It is also concluded that, the use of IT in healthcare will always be one of the key factor in healthcare practice and will always transform the way practitioners, patients, and consumers interact to improve the health status of the patients.

 

 

 

 

 

 

 

 

 

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