Resource Utilization in Cloud Computing using Hybrid Algorithm

Abstract

Objectives: The proposed algorithm represents a multivariate selection and security mechanism for the data which has to be kept at the cloud server. The paper also focuses on the prioritization of the data so that for a given span of time data with high priority is processed first. Methods/Statistical Analysis: The paper has presented a unique way to select encryption algorithm so that miss-utilization is prevented. The paper has included lattice based encryption NTRU (N-th degree Truncated Polynomial Ring Unit) and key based encryption for the security of data. Findings: The unused data bits have been optimized using GA (Genetic Algorithm) and the results have been calculated in terms of total number of completed jobs with priority and the CPU Utilization made against the Jobs. Application/Improvements: Resources which will be utilized at the cloud server would cost the user with some amount but there is optimization of resources in terms of CPU utilization and job completion.