Abstract

This dataset presents the results obtained for Ingestion and Reporting layers of a Big Data architecture for processing performance management (PM) files in a mobile network. Flume was used in the Ingestion layer. Flume collected PM files from a virtual machine that replicates PM files from a 5G network element (gNodeB). Flume transferred PM files to High Distributed File System (HDFS) in XML format. Hive was used in the Reporting layer. Hive queries the raw data from HDFS. Hive queries a view from HDFS.

Instructions:

Content

Ingestion Times Flume IndividNumber of counters and the ingestion times obtained for individual PM files into HDFS

Ingestion Times Flume MergedNumber of counters and the ingestion times obtained for merged PM files into HDFS

Ingestion RAM-Counters RAM and the number of counters ingested to HDFS per hour

Query Times Hive Number of counters and the query times attained in Hive for a raw table, a view, one raw column, and a view column

Reporting RAM-Counters RAM and the number of counters queried in Hive

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myself

Submitted by INDRAJIT PAUL on Thu, 11/19/2020 - 23:33

Dataset Files

Dataset. Ingestion and reporting times for processing 5G PM files in a Big Data framework.zip (223.88 kB)

Documentation

Attachment	Size
README.txt	590 bytes

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Ingestion and reporting times for processing 5G performance management files in a Big Data framework

Abstract

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