Available from British Library Document Supply Centre-DSC:DXN044854 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo

D. Chakrabarti

D. Dominguez-Sal

D. Shasha

J. Leskovec

J.M. Kleinberg

K. Anyanwu

M. Chein

P. Erdos

R. Cattell

S. Abiteboul

S. Brin

Y. Guo

Graph Database Management systems (GDBs) are gaining popularity. They are used to analyze huge graph datasets that are naturally appearing in many application areas to model interrelated data. The objective of this paper is to raise a new topic of discussion in the benchmarking community and allow practitioners having a set of basic guidelines for GDB benchmarking. We strongly believe that GDBs will become an important player in the market field of data analysis, and with that, their performance and capabilities will also become important. For this reason, we discuss those aspects that are important from our perspective, i.e. the characteristics of the graphs to be included in the benchmark, the characteristics of the queries that are important in graph analysis applications and the evaluation workbench

Domínguez Sal, David

Martínez Bazán, Norbert

Muntés Mulero, Víctor

Baleta Ferrer, Pedro

Larriba Pey, Josep

UPCommons

A discussion on the design of graph database benchmarks

Martin, M.J.

OpenGrey Repository

Data assimilation in ocean circulation models with systematic errors

David Dominguez-Sal

Norbert Martinez-Bazan

Victor Muntes-Mulero

Pere Baleta

Josep Lluis Larriba-Pey

Crossref

A Discussion on the Design of Graph Database Benchmarks

Graph Database Management systems (GDBs) are gaining popularity. They are used to analyze huge graph datasets that are naturally appearing in many application areas to model interrelated data. The objective of this paper is to raise a new topic of discussion in the benchmarking community and allow practitioners having a set of basic guidelines for GDB benchmarking. We strongly believe that GDBs will become an important player in the market field of data analysis, and with that, their performance and capabilities will also become important. For this reason, we discuss those aspects that are important from our perspective, i.e. the characteristics of the graphs to be included in the benchmark, the characteristics of the queries that are important in graph analysis applications and the evaluation workbench.Postprint (author’s final draft

UPCommons (Universitat Politècnica de Catalunya)

UPCommons. Portal del coneixement obert de la UPC

English

https://upcommons.upc.edu/bitstream/2117/24027/1/2010_tpctc.pdf

Data assimilation in ocean circulation models with systematic errors

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UPCommons

OpenGrey Repository

Crossref

UPCommons (Universitat Politècnica de Catalunya)

UPCommons. Portal del coneixement obert de la UPC