A Survey On Managing Telemedicine Database To Design Superior Web-based Computing Services
Tarique Raza1, Rasika Bhosale2, Kumari Niharika3, Samruddhi Patil4
1Tarique Raza, Department of Computer Engineering, Dr. D Y Patil Institute of Engineering and Technology, Savitribai Phule Pune University, Pune (Maharashtra), India.
2Rasika Sanjay Bhosale, Department of Computer Engineering, Dr. D Y Patil Institute of Engineering and Technology, Savitribai Phule Pune University, Pune (Maharashtra), India.
3Kumari Niharika, Department of Computer Engineering, Dr. D Y Patil Institute of Engineering and Technology, Savitribai Phule Pune University, Pune (Maharashtra), India.
4Samruddhi Patil, Department of Computer Engineering, Dr. D Y Patil Institute of Engineering and Technology, Savitribai Phule Pune University, Pune (Maharashtra), India.
Manuscript received on February 01, 2016. | Revised Manuscript received on February 12, 2016. | Manuscript published on February 29, 2016. | PP: 1-2 | Volume-3 Issue-2, February 2016. | Retrieval Number: B0359023216
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Many Web based technologies use database organizations as their backbone. Frequent changes and development in the information of these technologies is one of the main issues. We can see Web data organizations as a solution in terms of appreciable redesigns and controlling the information genuineness. At present, Web telemedicine database organizations are of central criticalness to owed structures. Data fragmentation, database Websites clustering and intelligent data distribution are the three fold approaches that are being used in WTDS. These approaches reduce the data cost, improves response time and throughput.
Keywords: Web telemedicine database systems (WTDS), Database fragmentation, Data distribution, Data allocation, Clustering.