Securing the Data Deduplication to Improve the Performance of Systems in the Cloud Infrastructure

Abstract

Data duplication is a data quality problem which may exist in database system where the same record is stored multiple times in the same or different database systems. Data duplication issue may lead to issues like data redundancy, wasted cost, lost income, negative impact on response rate, ROI, and brand reputation, poor customer service, inefficiency and lack of productivity, decreased user adoption, inaccurate reporting, less informed decisions, and poor business process. The solution to the problem of data duplication may be countered with data deduplication which is often termed as intelligent compression or single instance storage. Data deduplication eradicates duplicate copies of information resulting in the reduction of storage overheads and in enhancement of various performance parameters. The recent study on data deduplication has shown that there exists modern data redundancy in primary storage in the cloud infrastructure. Data redundancy can be reduced in primary storage system of cloud architecture using data deduplication. The research work carried out highlights the identified and established methods of data deduplication based on capacity and performance parameters. In the research work, the authors have proposed a performance-oriented data (POD) deduplication scheme which improves performance and primary storage system in the cloud. In addition to this, security analysis using encryption technique has also been performed and demonstrated to protect the sensitive data after the completion of deduplication process.