Towards a hybrid relational and XML benchmark for loosely-coupled distributed data sources

Mahesh B. Chaudhari; Suzanne Dietrich; Jennifer Ortiz; Spencer Pearson

doi:10.1016/j.jss.2015.07.029

Towards a hybrid relational and XML benchmark for loosely-coupled distributed data sources

Mahesh B. Chaudhari, Suzanne Dietrich, Jennifer Ortiz, Spencer Pearson

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

There are known benchmarks for the performance evaluation of relational and XML databases. However, there is an increasing demand for database applications that require access to heterogeneous loosely-coupled distributed data sources. This paper presents a hybrid benchmark based on TPC-H where the data sources are heterogeneous. Specifically, the paper describes the design of the relational and XML data sources as well as the query redesign in the LINQ query language, which supports queries over heterogeneous data sources. The results of a performance evaluation of the hybrid benchmark over various database products is included for untyped and typed XML with and without clearing the database cache.

Original language	English (US)
Pages (from-to)	78-87
Number of pages	10
Journal	Journal of Systems and Software
Volume	109
DOIs	https://doi.org/10.1016/j.jss.2015.07.029
State	Published - Nov 1 2015

Keywords

Benchmark
Heterogeneous
LINQ

ASJC Scopus subject areas

Software
Information Systems
Hardware and Architecture

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10.1016/j.jss.2015.07.029

Cite this

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abstract = "There are known benchmarks for the performance evaluation of relational and XML databases. However, there is an increasing demand for database applications that require access to heterogeneous loosely-coupled distributed data sources. This paper presents a hybrid benchmark based on TPC-H where the data sources are heterogeneous. Specifically, the paper describes the design of the relational and XML data sources as well as the query redesign in the LINQ query language, which supports queries over heterogeneous data sources. The results of a performance evaluation of the hybrid benchmark over various database products is included for untyped and typed XML with and without clearing the database cache.",

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N2 - There are known benchmarks for the performance evaluation of relational and XML databases. However, there is an increasing demand for database applications that require access to heterogeneous loosely-coupled distributed data sources. This paper presents a hybrid benchmark based on TPC-H where the data sources are heterogeneous. Specifically, the paper describes the design of the relational and XML data sources as well as the query redesign in the LINQ query language, which supports queries over heterogeneous data sources. The results of a performance evaluation of the hybrid benchmark over various database products is included for untyped and typed XML with and without clearing the database cache.

AB - There are known benchmarks for the performance evaluation of relational and XML databases. However, there is an increasing demand for database applications that require access to heterogeneous loosely-coupled distributed data sources. This paper presents a hybrid benchmark based on TPC-H where the data sources are heterogeneous. Specifically, the paper describes the design of the relational and XML data sources as well as the query redesign in the LINQ query language, which supports queries over heterogeneous data sources. The results of a performance evaluation of the hybrid benchmark over various database products is included for untyped and typed XML with and without clearing the database cache.

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Towards a hybrid relational and XML benchmark for loosely-coupled distributed data sources

Abstract

Keywords

ASJC Scopus subject areas

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