Loading

Data Migration Across The Clouds
Prashant Pant1, Sanjeev Thakur2

1Prashant Pant, Working at Center for Railway Information System and currently pursuing M.Tech. Computer Science ASET, Amity University Noida, India.
2Mr.Sanjeev Thakur, Guide ,Amity University Noida India.
Manuscript received on April 03, 2013. | Revised Manuscript received on April 27, 2013. | Manuscript published on May 05, 2013. | PP: 14-21 | Volume-3, Issue-2, May 2013. | Retrieval Number: B1417053213/2013©BEIESP
Open Access | Ethics and Policies | Cite
© 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: Having an effective and efficient strategy for optimizing long distance data migration is essential for every data center. With the ever increasing demands for the IT needs of businesses it is also important for data centers to deliver data migration cost effectively especially when faced with the demands from remote office back up, outsourcing, data center movers and cloud computing. Data management and migration are important research challenges of novel Cloud environments. While moving data among different geographical domains, it is important to lower the transmission cost for performance purposes. Efficient scheduling methods allow us to manage data transmissions with lower number of steps and shorter transmission time. In previous research efforts, several methods have been proposed in literature in order to manage data and minimize transmission cost for the case of Single Cluster environments. This paper Explores the issues and method of Data Migration across the Clouds.
Keywords: Cloud Computing, Data Migration, Security Issue, Cloud Architecture.