The LDBC social network benchmark: Interactive workload

Orri Erling; Alex Averbuch; Josep-Lluis Larriba-Pey; Hassan Chafi; Andrey Gubichev; Arnau Prat; Minh Duc Pham; Peter Boncz

doi:10.1145/2723372.2742786

The LDBC social network benchmark: Interactive workload

Orri Erling, Alex Averbuch, Josep-Lluis Larriba-Pey, Hassan Chafi, Andrey Gubichev, Arnau Prat, Minh Duc Pham, Peter Boncz

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

The Linked Data Benchmark Council (LDBC) is now two years underway and has gathered strong industrial participation for its mission to establish benchmarks, and benchmarking practices for evaluating graph data management systems. The LDBC introduced a new choke-point driven methodology for developing benchmark workloads, which combines user input with input from expert systems architects, which we outline. This paper describes the LDBC Social Network Benchmark (SNB), and presents database benchmarking innovation in terms of graph query functionality tested, correlated graph generation techniques, as well as a scalable benchmark driver on a workload with complex graph dependencies. SNB has three query workloads under development: Interactive, Business Intelligence, and Graph Algorithms. We describe the SNB Interactive Workload in detail and illustrate the workload with some early results, as well as the goals for the two other workloads.

Original language	English
Title of host publication	SIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data
Publisher	Association for Computing Machinery (ACM)
Pages	619-630
Number of pages	12
Volume	2015-May
ISBN (Electronic)	9781450327589
DOIs	https://doi.org/10.1145/2723372.2742786
Publication status	Published - 27 May 2015
Event	ACM SIGMOD International Conference on Management of Data, SIGMOD 2015 - Melbourne, Australia Duration: 31 May 2015 → 4 Jun 2015

Conference

Conference	ACM SIGMOD International Conference on Management of Data, SIGMOD 2015
Country/Territory	Australia
City	Melbourne
Period	31/05/15 → 4/06/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Erling, O., Averbuch, A., Larriba-Pey, J.-L., Chafi, H., Gubichev, A., Prat, A., Pham, M. D., & Boncz, P. (2015). The LDBC social network benchmark: Interactive workload. In SIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data (Vol. 2015-May, pp. 619-630). Association for Computing Machinery (ACM). https://doi.org/10.1145/2723372.2742786

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booktitle = "SIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data",

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Erling, O, Averbuch, A, Larriba-Pey, J-L, Chafi, H, Gubichev, A, Prat, A, Pham, MD & Boncz, P 2015, The LDBC social network benchmark: Interactive workload. in SIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. vol. 2015-May, Association for Computing Machinery (ACM), pp. 619-630, ACM SIGMOD International Conference on Management of Data, SIGMOD 2015, Melbourne, Australia, 31/05/15. https://doi.org/10.1145/2723372.2742786

The LDBC social network benchmark: Interactive workload. / Erling, Orri; Averbuch, Alex; Larriba-Pey, Josep-Lluis et al.
SIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. Vol. 2015-May Association for Computing Machinery (ACM), 2015. p. 619-630.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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The LDBC social network benchmark: Interactive workload

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