Enhancing Data Generation in TPCx-HS with a Non-uniform Random Distribution

摘要

Developed by the Transaction Processing Performance Council, the TPC Express Benchmark™ HS (TPCx-HS) is the industry's first standard for benchmarking big data systems. It is designed to provide an objective measure of hardware, operating system and commercial Apache Hadoop File System API compatible software distributions, and to provide the industry with verifiable performance, price-performance and availability metrics [1, 2]. It can be used to compare a broad range of system topologies and implementation methodologies of big data systems in a technically rigorous and directly comparable and vendor-neutral manner. The modeled application is simple and the results are highly relevant to hardware and software dealing with Big Data systems in general. The data generation is derived from TeraGen [3] which uses uniform distribution of data. In this paper the authors propose normal distribution (Gaussian distribution) which may be more representative of real life datasets. The modified TeraGen and complete changes required to the TPCx-HS kit are included as part of this paper.