Benchmark for Approximate Query Answering Systems

Author:

Di Tria Francesco1,Lefons Ezio1,Tangorra Filippo1

Affiliation:

1. Dipartimento di Informatica, Università degli Studi di Bari Aldo Moro, Bari, Italy

Abstract

The standard benchmark for Decision Support Systems is TPC-H, which is composed of a database, a workload, and a set of metrics for the performance evaluation. However, TPC-H does not include a methodology for the benchmark of Approximate Query Answering Systems, or the software tools used to obtain fast answers to analytical queries in the decision making process. In the paper, the authors present a methodology to evaluate and compare Approximate Query Answering Systems. To this aim, a methodology that extends the standard TPC-H and a set of new metrics that take into account the specific features of these systems are proposed. Experimental results show the application of these metrics to two systems based on the data analytic approximation by orthonormal series.

Publisher

IGI Global

Subject

Hardware and Architecture,Information Systems,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimizing Semi-Stream CACHEJOIN for Near-Real- Time Data Warehousing;Journal of Database Management;2020-01

2. Benchmark for Evaluating Approximate Query Processing on Data Streams;2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE);2017-06

3. SQL Scorecard for Improved Stability and Performance of Data Warehouses;International Journal of Software Innovation;2016-07

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