Parameter Curation and Data Generation for Benchmarking Multi-model Queries

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

Abstrakti

Unlike traditional database management systems which are organized around a single data model, a multi-model database is designed to support multiple data models against a single, integrated backend. For instance, document, graph, relational, and key-value models are examples of data models that may be supported by a multi-model database. As more and more platforms are proposed to deal with multi-model data, it becomes important to have benchmarks that can be used to evaluate performance and usability of the next generation of multi-model database systems. In this paper, we discuss the motivations and challenges for benchmarking multi-model databases, and then present our current research on the data generation and parameter curation for benchmarking multi-model queries. Our benchmark can
be found at http://udbms.cs.helsinki.fi/bench/.
Alkuperäiskielienglanti
OtsikkoProceedings of the VLDB 2018 PhD Workshop
Sivumäärä4
KustantajaCEUR-WS.org
Julkaisupäivä20 elok. 2018
TilaJulkaistu - 20 elok. 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaVLDB 2018 PhD Workshop: Workshop co-located with the 44th International Conference on Very Large Databases - Rio de Janeiro, Brasilia
Kesto: 27 elok. 201831 elok. 2018
Konferenssinumero: VLDB-PhD 2018

Julkaisusarja

NimiCEUR Workshop Proceedings
Vuosikerta2175
ISSN (elektroninen)1613-0073

Tieteenalat

  • 113 Tietojenkäsittely- ja informaatiotieteet

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