Print Email Facebook Twitter LDBC Graphalytics Title LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms Author Iosup, A. (TU Delft Dataintensive Systems) Hegeman, T.M. (TU Delft Dataintensive Systems) Ngai, W.L. (TU Delft Dataintensive Systems) Heldens, S.J. (TU Delft Dataintensive Systems) Prat-Pérez, Arnau (Universitat Politecnica de Catalunya) Manhardto, Thomas (Oracle) Chafio, Hassan (Oracle) Capota, M. (Intel Labs) Sundaram, Narayanan (Intel Labs) Date 2016 Abstract 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. To reference this document use: http://resolver.tudelft.nl/uuid:fc2a5dd1-d7c1-4c60-a49c-7c4b20e03d70 DOI https://doi.org/10.14778/3007263.3007270 Source Proceedings of the VLDB Endowment, 9 (13), 1317-1328 Event VLDB 2016, 2016-09-05 → 2016-09-09, New Delhi, India Part of collection Institutional Repository Document type journal article Rights © 2016 A. Iosup, T.M. Hegeman, W.L. Ngai, S.J. Heldens, Arnau Prat-Pérez, Thomas Manhardto, Hassan Chafio, M. Capota, Narayanan Sundaram, More Authors Files PDF p1317_iosup.pdf 459.06 KB Close viewer /islandora/object/uuid:fc2a5dd1-d7c1-4c60-a49c-7c4b20e03d70/datastream/OBJ/view