Documents

  • PVLDB_2016

    Accepted author manuscript, 684 KB, PDF-document

DOI

In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis platforms. It consists of six deterministic algorithms, standard datasets, synthetic dataset generators, and reference output, that enable the objective comparison of graph analysis platforms. Its test harness produces deep metrics that quantify multiple kinds of system scalability, such as horizontal/vertical and weak/strong, and of robustness, such as failures and performance variability. The benchmark comes with open-source software for generating data and monitoring performance. We describe and analyze six implementations of the benchmark (three from the community, three from the industry), providing insights into the strengths and weaknesses of the platforms. Key to our contribution, vendors perform the tuning and benchmarking of their platforms.
Original languageEnglish
Pages (from-to)1317-1328
Number of pages12
JournalProceedings of the VLDB Endowment
Volume9
Issue number13
DOIs
StatePublished - Sep 2016
Event2016 42th International Conference on Very Large Data Bases - New Delhi, India

ID: 17442525