BigBench Specification V0.1 BigBench: An Industry Standard Benchmark for Big Data Analytics

被引:0
|
作者
Rabl, Tilmann [1 ]
Ghazal, Ahmad [2 ]
Hu, Minqing [2 ]
Crolotte, Alain [2 ]
Raab, Francois [3 ]
Poess, Meikel [4 ]
Jacobsen, Hans-Arno [1 ]
机构
[1] Univ Toronto, Toronto, ON M5S 1A1, Canada
[2] Teradata Corp, Miamisburg, OH USA
[3] InfoSizing Inc, Colorado Springs, CO USA
[4] Oracle Corp, Santa Clara, CA USA
来源
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we present the specification of BigBench, an end-to-end big data benchmark proposal. BigBench models a retail product supplier. The benchmark proposal covers a data model and a set of big data specific queries. BigBench's synthetic data generator addresses the variety, velocity and volume aspects of big data workloads. The structured part of the BigBench data model is adopted from the TPC-DS benchmark. In addition, the structured schema is enriched with semi-structured and unstructured data components that are common in a retail product supplier environment. This specification contains the full query set as well as the data model.
引用
收藏
页码:164 / 201
页数:38
相关论文
共 50 条
  • [1] Discussion of BigBench: A Proposed Industry Standard Performance Benchmark for Big Data
    Baru, Chaitanya
    Bhandarkar, Milind
    Curino, Carlo
    Danisch, Manuel
    Frank, Michael
    Gowda, Bhaskar
    Jacobsen, Hans-Arno
    Jie, Huang
    Kumar, Dileep
    Nambiar, Raghunath
    Poess, Meikel
    Raab, Francois
    Rabl, Tilmann
    Ravi, Nishkam
    Sachs, Kai
    Sen, Saptak
    Yi, Lan
    Youn, Choonhan
    PERFORMANCE CHARACTERIZATION AND BENCHMARKING: TRADITIONAL TO BIG DATA, 2015, 8904 : 44 - 63
  • [2] From BigBench to TPCx-BB: Standardization of a Big Data Benchmark
    Cao, Paul
    Gowda, Bhaskar
    Lakshmi, Seetha
    Narasimhadevara, Chinmayi
    Nguyen, Patrick
    Poelman, John
    Poess, Meikel
    Rabl, Tilmann
    PERFORMANCE EVALUATION AND BENCHMARKING: TRADITIONAL - BIG DATA - INTERNET OF THINGS, TPCTC 2016, 2017, 10080 : 24 - 44
  • [3] Amdahl's Law in Big Data Analytics: Alive and Kicking in TPCx-BB (BigBench)
    Richins, Daniel
    Ahmed, Tahrina
    Clapp, Russell
    Reddi, Vijay Janapa
    2018 24TH IEEE INTERNATIONAL SYMPOSIUM ON HIGH PERFORMANCE COMPUTER ARCHITECTURE (HPCA), 2018, : 630 - 642
  • [4] Testing of big data analytics systems by benchmark
    Chen, Mingang
    Chen, Wenjie
    Cai, Lizhi
    2018 IEEE 11TH INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION WORKSHOPS (ICSTW), 2018, : 231 - 238
  • [5] International Quality-Controlled Ocean Database (IQuOD) v0.1: The Temperature Uncertainty Specification
    Cowley, Rebecca
    Killick, Rachel E.
    Boyer, Tim
    Gouretski, Viktor
    Reseghetti, Franco
    Kizu, Shoichi
    Palmer, Matthew D.
    Cheng, Lijing
    Storto, Andrea
    Le Menn, Marc
    Simoncelli, Simona
    Macdonald, Alison M.
    Domingues, Catia M.
    FRONTIERS IN MARINE SCIENCE, 2021, 8
  • [6] TPC's Benchmark Development Model: Making the First Industry Standard Benchmark on Big Data a Success
    Poess, Meikel
    SPECIFYING BIG DATA BENCHMARKS, 2014, 8163 : 1 - 10
  • [7] Big Data Analytics In the Building Industry
    Berger, Michael A.
    Mathew, Paul A.
    Walter, Travis
    ASHRAE JOURNAL, 2016, 58 (07) : 38 - +
  • [8] Optical flow models as an open benchmark for radar-based precipitation nowcasting (rainymotion v0.1)
    Ayzel, Georgy
    Heistermann, Maik
    Winterrath, Tanja
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2019, 12 (04) : 1387 - 1402
  • [9] Big Data Analytics and Business Intelligence in Industry
    Huang, Shih-Chia
    McIntosh, Suzanne
    Sobolevsky, Stanislav
    Hung, Patrick C. K.
    INFORMATION SYSTEMS FRONTIERS, 2017, 19 (06) : 1229 - 1232
  • [10] Big data analytics in Industry 4.0 ecosystems
    Aujla, Gagangeet Singh
    Prodan, Radu
    Rawat, Danda B.
    SOFTWARE-PRACTICE & EXPERIENCE, 2022, 52 (03): : 639 - 641