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 | |
| 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 | Australia |
| City | Melbourne |
| Period | 31/05/15 → 4/06/15 |
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The LDBC social network benchmark : Interactive workload. / Erling, Orri; Averbuch, Alex; Larriba-Pey, Josep-Lluis; Chafi, Hassan; Gubichev, Andrey; Prat, Arnau; Pham, Minh Duc; Boncz, Peter.
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
TY - GEN
T1 - The LDBC social network benchmark
T2 - Interactive workload
AU - Erling, Orri
AU - Averbuch, Alex
AU - Larriba-Pey, Josep-Lluis
AU - Chafi, Hassan
AU - Gubichev, Andrey
AU - Prat, Arnau
AU - Pham, Minh Duc
AU - Boncz, Peter
PY - 2015/5/27
Y1 - 2015/5/27
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84951913929&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84951913929&partnerID=8YFLogxK
U2 - 10.1145/2723372.2742786
DO - 10.1145/2723372.2742786
M3 - Conference contribution
VL - 2015-May
SP - 619
EP - 630
BT - SIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data
PB - Association for Computing Machinery (ACM)
ER -