The Linked Data Benchmark Council (LDBC) is an initiative to develop industry-grade database benchmarks. This talk focuses on the activities of its Social Network Benchmark (SNB) task force of LDBC, which developed an advanced graph generator during past year which creates a huge social graph with realistic correlations between structure and data. The datasets it generates will be tested by three different workloads (interactive, BI, graph anatytics), that I will shortly outline.
talk will cover:
- mission of LDBC in general and the social network benchmark task force in specific
- the LDBC social network graph generator;
* schema, data examples
* how it generates correlated data
* technical information
- benchmarks that use it:
* interactive workload: many small graph queries and updates
* business intelligence workloads: grouping, counting, subqueries and graph navigation
* graph analytics: algorithms (not queries) that analyze graphs (e.g. clustering, pagerank, etc)
