Improved-Hybrid GA-Based Technique to Optimize the Resource Utilization in Cloud

Data clustering is a technique related to technology that can be used and utilized in vast areas of computer science and other applications. In this work, the technique access and used for clustering is improved-hybrid clustering in cloud computing with the application of GA in the algorithm. The process is started by uploading the text documents on the cloud and the GA algorithm of improved-hybrid similarity is applied and results are considered for analysis. The research is a step towards innovation and two parameters for resource optimization are taken into consideration viz., memory consume and CPU utilization. The results obtained for memory utilization and CPU utilization are scalable and optimal in the carried-out study.