Publication Type

Journal Article

Version

Preprint

Publication Date

11-2013

Abstract

The TPC benchmarks have helped users evaluate database system performance at different scales. Although each benchmark is domain-specific, it is not equally relevant to different applications in the same domain. The present proliferation of applications also leaves many of them uncovered by the very limited number of current TPC benchmarks. There is therefore a need to develop tools for application-specific database benchmarking. This paper presents UpSizeR, a software that addresses the Dataset Scaling Problem: Given an empirical set of relational tables D and a scale factor s, generate a database state e D that is similar to D but s times its size. Such a tool can be useful for scaling up D for scalability testing (s > 1), scaling down for application testing (s < 1), or anonymization (s = 1). Experiments with Flickr show that query results and response times on UpSizeR output match those on crawled data. They also accurately predict throughput degradation for a scale out test. The UpSizeR version in this paper focuses on extracting and replicating the correlation induced by the primary and foreign keys. There are many other forms of correlation involving nonkey values. It is a large task to develop UpSizeR into a tool that can extract and replicate all important correlation, so community effort is required. The current UpSizeR code has therefore been released for open-source development. The ultimate objective is to replace TPC with UpSizeR, so database owners can generate benchmarks that are relevant to their applications.

Keywords

application-specific benchmarking, synthetic data generation, scale factor, empirical dataset, attribute value correlation, social networks

Discipline

Databases and Information Systems

Research Areas

Data Management and Analytics

Publication

Information Systems

Volume

38

Issue

8

First Page

1168

Last Page

1183

ISSN

0306-4379

Identifier

10.1016/j.is.2013.07.004

Publisher

Elsevier

Embargo Period

2-19-2014

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://dx.doi.org/10.1016/j.is.2013.07.004

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