• Mrs. K. Geetha
• Dr. A. Vijaya

Cloud Computing turned into an ideal solution for business clients to maintain and elevate their business needs to clients by means of cloud services like IaaS, SaaS, and PaaS. On Demand and pay-per-use (scale up) procedures pulled in organizations for cloud adoption and migration. Because of the increased demand for cloud services from clients, Efficient Resource Management in cloud computing become an important errand. To accomplish asset multiplexing in cloud computing, recent investigates were introduced dynamic asset allocation through virtual machines. This paper proposes a novel strategy for Predicting the Memory Requirements for Efficient De-duplication in Cloud Environment and Defensive scheme for vulnerable de-duplication Procedure. Experimental outcomes are supporting in this system is more scalable and dependable than existing methodologies.

De-Duplication, Multiplexing, Cloud Data, Prediction, Defensive Scheme.

"PREDICTING THE MEMORY REQUIREMENTSFOR EFFICIENT DEDEPLICATION IN CLOUD ENVIRONMENT USING DEFENSIVE SCHEME IN VULNERABLE PROCEDURE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.694-705, September-2018, Available :http://www.jetir.org/papers/JETIR1809898.pdf

"PREDICTING THE MEMORY REQUIREMENTSFOR EFFICIENT DEDEPLICATION IN CLOUD ENVIRONMENT USING DEFENSIVE SCHEME IN VULNERABLE PROCEDURE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp694-705, September-2018, Available at : http://www.jetir.org/papers/JETIR1809898.pdf