A Novel Approach Using Enhanced Five Divisors Data Deduplication Method Secure Cloud Storage Optimization

Abstract

The study proposes an improved data deduplication technique in order to address storage issues in cloud computing. As a developing technology, cloud computing provides a range of services, such as databases, servers, storage, and analytics. Cloud service providers must store data from multiple customers on the same server in order to maximize resource utilization. Storage, though, continues to be a major issue for both providers and clients. Within this framework, data deduplication becomes an essential method for removing duplicate data from datasets. The Two Threshold Two Divisor (TTTD) algorithm has been used for deduplication in earlier techniques. This study presents a novel approach based on five divisors: minimum, maximum, main, paragraph, and dot divisors, with the goal of increasing efficiency. The purpose of these divisors is to find redundant sentences and paragraphs in order to reduce chunk size and running time. Experimental results provide a thorough evaluation of the proposed approach, showing its superior performance over the state-of-the-art deduplication techniques. This work offers a viable approach to efficient data management and adds to the continuing efforts to maximize storage utilization in cloud environments.