Cluster Based Grid Computing with Privacy Preserving Optimization Using Deep Learning Technique
Keywords:
Grid computing, clusters, privacy preserving, optimization, deep learningAbstract
Grid computing empowers to involve Grid for enormous scope register and information escalated applications, in science, designing and business. Such applications incorporate, sub-atomic demonstrating for drug configuration, cerebrum movement examination, high energy physical science, protein displaying, beam following and weather conditions determining, etc. The thought behind grouping is to credit the items to bunch so that articles in a single bunch are more homogeneous to different groups.This research propose novel technique in cluster based grid computing with privacy preserving optimization based on deep learning architecture. Here the clustering is carried out using Hadoop based clustering and the privacy based optimization using deep neural network technique. Here the experimental analysis has been carried out in terms of accuracy, precision, data transmission rate, F-1 score. the proposed technique attained accuracy of 95%, precision of 76.5, data transmission rate of 86%, F-1 score of 79%.
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Copyright (c) 2022 Arvind Kumar Pandey, Pankaj M. Agarkar, Allen Paul L. Esteban, V. Selvakumar, Ankur Gupta, Shashikant V. Athawale
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