An Overview of the DFS on HDFS

An Overview of the DFS on HDFS

Author Name : Dr PL Pradhan, Shrihari Dillip Khatawkar

ABSTRACT The compressive analysis of this study emphasizes the distributed file system on Big Data for Cloud and EDGE computing. The author has to deeply study the action and reaction of the Hadoop distributed file system (HDFS) to achieve the role, responsibilities, functionalities, and operation for data collecting, storing, processing, generation, distribution, storage, retrieval, analysis, and maintenance of multi-source data for the better and faster analytics process. Our proposed research activities are that HDFS makes more economical, benchmarking, fault-tolerant, scalabilities, reliabilities, high availability, replication, and synchronization is designed to be deployed on low-cost hardware, software, and network for heterogeneous data sets. More our objective is to optimize, normalize, and standardize the data and resources to review the end user data and information without fault, because written once and read many more (WORM) times by stakeholders. The author has to protect the valuable asset through the attributes of Read and Execute/Review the file system access control mechanism which would be a great handshake with BCP and DRP for large-scale businesses to support the EDGE Computing. The high-end technique performing standardizes, optimizes, generalize and normalized the heterogeneous data as per need analysis.