Product Description
Privacy Preserving Rack-based Dynamic Workload Balancing for Hadoop MapReduce
Abstract—Hadoop has two components namely HDFS and MapReduce. Hadoop stores user data based on space utilization of datanodes on the cluster rather than the processing capability of the datanodes. < final year projects >
Including Packages
Our Specialization
Support Service
Statistical Report

satisfied customers
3,589
Freelance projects
983
sales on Site
11,021
developers
175+