The XOO7 Benchmark

Abstract. In this paper we propose a new approach to XML benchmarking -a flexible XML query benchmark called FlexBench. The flexibility is given by two aspects. Firstly, FlexBench involves a large set of testing data characteristics so that a user can precisely describe the application. And, secondly, FlexBench is able to adapt the set of testing query templates to the particular set of synthesized testing data. Hence, contrary to the existing works, the testing is not limited by the fixed set of queries and basic data characteristics (usually only size) to a single (and often simple) application. We depict the advantages of the proposed system using a set of preliminary experiments.

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“…The seven best known representatives are XMark [13], XOO7 [17], XMach-1 [10], MBench [16], XBench [24], XPathMark [18] and TPoX [21].…”

Section: Related Workmentioning

confidence: 99%

FlexBench: A Flexible XML Query Benchmark

Vranec

Mlýnková

2009

Database Systems for Advanced Applications

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“…At the heart of Tamino is a powerful XML engine providing all functionality necessary to dynamically process, generate and exchange XML documents [18] . Although various benchmarks had been developed for studying the efficiency of XML databases [19,20,21,22,23,24] most of them concentrate on defining set of queries and specifications for evaluation of XML data management technologies. Other related works consist of evaluation of using various methods for extracting XML data from relational databases [16,25,26] and evaluation of XML query languages [27,28,29] .…”

Section: Xml Databasesmentioning

confidence: 99%

Publishing Geospatial Data through Geospatial Web Service and XML Database System

Amirian¹,

Alesheikh²

2008

American J. of Applied Sciences

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Abstract:Technically the spatial non-interoperability problem associated with current geospatial processing systems can be categorized as data and access non-interoperability. In GIS community, Open GIS Consortium (OGC) geospatial Web services have been introduced to overcome spatial noninteroperability problem associated with most geospatial processing systems. At the same time, in Information Technology (IT) world, the best solution for providing interoperability among heterogeneous systems is Web services technologies. Geospatial Web services and Web services technologies differ in the way that latter are composed of particular set of technologies and protocols but the former are comprised of defined set of interface implementation specifications which can be implemented with diverse technologies. This research describes and discusses that geospatial Web services which are developed using Web services technologies can provide access interoperability among various geospatial and non-geospatial processing systems. In addition to access interoperability, making use of open and platform independent data standards like Geography Markup Language (GML), data interoperability can be achieved. Meanwhile, proper management of geospatial data necessitates use of efficient and optimized data management systems. In this respect, the study also illustrates the practical evaluation of existing solution for storing and publishing geospatial data as GML. Based on the practical evaluation of this research, coupling native-XML database systems with Web services technologies proved to be an open, interoperable and efficient solution for developing geospatial Web services.

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“…This contrasts with single scenario benchmarks, such as TPC-C, TPC-H, TPC-R, TPC-W (Transaction Processing Performance Council (http://www.tpc.org)), Wisconsin benchmark (DeWitt, 1993), and XML application benchmarks, such as XMach-1 (Bohme & Rahm, 2002), XMark (Schmidt et al, 2002), X007 (Brassan et al, 2002), XPathMark (Franceschet, M. 2005) and TPoz (Nicola et al, 2007). We also rejected micro benchmarks, such as Michigan Benchmark (Runapongsa et al, 2006) and MemBer (Afanasiev et al, 2005), since they evaluate at too small a level of query granularity.…”

Section: Benchmarkmentioning

confidence: 99%

An Analysis of Relational Storage Strategies for Partially Structured XML

Kader¹,

Eaglestone²,

North³

2008

Proceedings of the Fourth International Conference on Web Information Systems and Technologies

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Abstract:This paper presents a performance analysis of strategies for storing XML data sets in relational databases, focusing on XML datasets that are a combination of structured and semi-structured data. The analysis demonstrates advantages of a hybrid approach combining structure mapping and XML data type instances.However problems remain with current technology with regards to scaling of the approach for large data sets. Also, anomalous results are identified and a threshold at which the cost of data shredding out weighs the advantages of structure mapping.

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The XOO7 Benchmark

Cited by 21 publications

References 1 publication

FlexBench: A Flexible XML Query Benchmark

FlexBench: A Flexible XML Query Benchmark

Publishing Geospatial Data through Geospatial Web Service and XML Database System

An Analysis of Relational Storage Strategies for Partially Structured XML

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