Abstract   Failures are usual rather exceptional in cloud comp uting environment. To access from the nearby site, the often used data should get replicated to multiple locatio ns to compose the users to advance the system acces sibility. A challenging task in cloud computing is to decide a sensible num ber and right location of replicas. At this point, we propose an adapted dynamic data replication approach to decide a sensi ble number and right location of replicas and we co mpare both the adapted dynamic data replication approach and norma l dynamic data replication approach. The normal dynamic data replication approach has three dissimilar stages wh ich are the recognition of data file to replicate, number of replicas to be created and placing new replicas. We adapt the popu larity degree in the initial stage of normal dynamic data replication approach and also we consider the failure probabili ty for replica factor calculation and the other two stages are related to the normal dynamic data replication approach. When we u pdate the major data center we moreover integrate the synchronous and asynchronous updation of replica data file.     

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[10] Wang S., Yan K., and Wang S., Achieving Efficient Agreement within a Dual-Failure Cloud-Computing Environment, Expert System with Applications , vol. 38, no. 1, pp. 906-915, 2010. Kirubakaran Subramani obtained his BE (electronics and communication engineering) from Bharathiyar University, Coimbatore in 2004 and ME (network engineering) Anna University of Technology-Coimbatore in 2009. Currently, he is pursuing his PhD degree from Anna University, Chennai in the area of cloud computing. He is presently working as Assistant Professor in the Department of Electronics and Communication at Bannari Amman Institute of Technology, Sathyamangalam. He is having a total of 6 years of teaching experience in various engineering colleges . His research interest includes P2P networks, overla y networks, data management in cloud computing and distributed systems. He has published 7 papers in International and National Conferences. Valarmathy Shanmugasundaram received her BE (electronics and communication engineering) degree and ME (applied electronics) degree from Bharathiar University, Coimbatore in 1989 and 2000 respectively. She received her PhD degree at Anna University, Chennai in the area of Biometrics in 2009. She is presently working as Professor and Head in the department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam. She is having a total of 21 years of teaching experience i n various engineering colleges. Her research interest includes Biometrics, image processing, soft computi ng, pattern recognition and neural networks. She is the life member in Indian Society for Technical Education an d Member in Institution of Engineers. She has publish ed 33 papers in International and National Journals, 6 8 papers in International and National Conferences. Kamalanathan Chandran received his BE (electronics and communication engineering) degree from Anna University, Chennai in May 2005 and M.Tech. (applied electronics) degree from Dr.MGR University, Chennai, in 2008. He is pursuing his PhD degree at Anna University, Chennai in the area of Cloud Computing. He is presently working as Assistant Professor in the department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam. He is having a total of 6 years of teaching experience in engineering colleges. His research interest include s cloud computing, wired and wireless networks and network security. He is the life member in Indian Society for Technical Education. He has published 1 2 papers in International and National conferences.