Accession Number:

AD1084508

Title:

Automated Cluster Testing and Optimization

Descriptive Note:

Technical Report

Corporate Author:

Carnegie Mellon University Software Engineering Institute Pittsburgh United States

Personal Author(s):

Report Date:

2018-12-31

Pagination or Media Count:

27.0

Abstract:

How to setup an automated testing framework to get benchmarks and results that will help determine tuning parameters and improve the performance of your Spark cluster.

Subject Categories:

  • Theoretical Mathematics
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE