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Workload-Awareness in a NoSQL-Based Triplestore

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Advances in Databases and Information Systems (ADBIS 2019)

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Abstract

RDF and SPARQL are increasingly used in a broad range of information management scenarios. Scalable processing of SPARQL queries has been the main goal for virtually all the recently proposed RDF triplestores. Workload-awareness is considered an important feature for the current generation of triplestores. This paper presents WA-RDF, a middleware that addresses workload-adaptive management of large RDF graphs. These graphs are stored into NoSQL databases, which provide high availability and scalability. The focus of this paper is on the Workload-Aware component (WAc) of WA-RDF. WAc was developed to avoid data fragmentation, improve data placement and reduce the intermediate results. Our experimental evaluation shows that the solution is promising, outperforming a recent baseline.

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Notes

  1. 1.

    https://spark.apache.org/docs/2.2.0/rdd-programming-guide.htmlrdd-operations.

  2. 2.

    https://docs.mongodb.com/manual/tutorial/query-documents/.

  3. 3.

    https://neo4j.com/developer/cypher-query-language/.

  4. 4.

    https://redis.io/.

  5. 5.

    https://db-engines.com/en/ranking.

  6. 6.

    https://spark.apache.org/.

  7. 7.

    https://kafka.apache.org/.

  8. 8.

    https://azure.microsoft.com/en-us/.

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Correspondence to Luiz Henrique Zambom Santana .

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Santana, L.H.Z., dos Santos Mello, R. (2019). Workload-Awareness in a NoSQL-Based Triplestore. In: Welzer, T., Eder, J., Podgorelec, V., Kamišalić Latifić, A. (eds) Advances in Databases and Information Systems. ADBIS 2019. Lecture Notes in Computer Science(), vol 11695. Springer, Cham. https://doi.org/10.1007/978-3-030-28730-6_8

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  • DOI: https://doi.org/10.1007/978-3-030-28730-6_8

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  • Online ISBN: 978-3-030-28730-6

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