Improving the MapReduce Performance using Symmetric Key Algorithm

In modern networking age, offloading of data to the cloud makes marked significant reliance on compatible and easily available cloud infrastructure. The bias of safety regarding their personal data has also become unmindful that they completely merge with the cloud service providers. The basicity of data protection for reliable and secure cloud environments known as Encryption, that demands high costs in accordance to its data size is also at risks of facing some obstacles for the safety of big data security. Hence, this paper brings forth a structural framework to reduce the costs of Encryption using MapReduce that can work wonders in enhancement parallel processing and parameter tuning. In addition it enhances less time consumption of encryption that automatically results in minimal usage of system resources. The current research tries to meet the benefits appreciated through MapReduce-based parallel encryption computation.