An Approach to Evaluate Load Balancing and Crucial Data Analysis Through Hadoop Framework

The tools of big-data analysis like the Hadoop framework, MapReduce, Hive, HBase, Spark, and Pig programming play a vital role in data processing and synchronization that help to find insights from huge amounts of data generated from different resources, including social media, the health sector, the finance sector, education, research and innovation wings, and many more public platforms. These platforms are responsible for rapidly generating huge amounts of data that would be impossible to handle by any traditional method of data analysis. The paper’s objective is to describe the importance of critical data analysis in big data and also specify how the load balancing factor of cloud computing will perform the comparisons between different factors of offloading, based on different parameters such as execution time of jobs, task offloading in the number of virtual machines, and energy consumption by each process to be executed.