arXiv1401.1406v2 cs.DB 22 Feb 2014 BigDataBench a Big Data Benchmark Suite from Internet Services Lei Wang1,7, Jianfeng Zhan 1, Chunjie Luo1, Yuqing Zhu1, Qiang Yang1, Yongqiang He2, Wanling Gao1, Zhen Jia1, Yingjie Shi 1, Shujie Zhang3, Chen Zheng , Gang Lu1, Kent Zhan4, Xiaona Li5, and Bizhu Qiu6 1State Key Laboratory of Computer Architecture Institute of Computing
We propose a data motif-based proxy benchmark generating methodology by means of machine learning method, which combine data motifs with different weights to mimic the big data and AI workloads. Furthermore, we implement various data motifs using light-weight stacks and apply the methodology to five real-world workloads to construct a suite of ...
As architecture, systems, and data management communities pay greater attention to innovative big data systems and architectures, the pressure of benchmarking and evaluating these systems rises. Considering the broad use of big data systems, big data benchmarks must include diversity of data and workloads. Most of the state-of-the-art big data benchmarking efforts target evaluating specific ...
Download Data Generator. BDGSBig Data Generator Suite in BigDataBench. Name. Description. BDGS generates big data on the basis of six raw data sets.
BigDataBench a Big Data Benchmark Suite from Internet Services Lei W ang 1,7 , Jian feng Zhan 1 , Chunjie Luo 1 , Yuqing Zhu 1 , Qiang Y ang 1 , Y ongqiang He 2 , Wanling Gao 1 , Zhen Jia 1 ,
Request PDF BigDataBench a Big Data Benchmark Suite from Web Search Engines This paper presents our joint research efforts on big data benchmarking with several industrial partners ...
Handbook of BigDataBench Version 3.1A Big Data Benchmark Suite. ... Handbook of BigDataBench Version 3.1A Big Data Benchmark Suite. Leonardo Sui. Related Papers. BigOP Generating Comprehensive Big Data Workloads as a Benchmarking Framework. By Xin Chen. Extended best practice guide for prototypes and demonstrators PRACE-5IP D5.6 By ...
May 07, 2014 BigDataBench. As a multi-discipline research effort, BigDataBench is an open-source big data benchmark suite. The current version is BigDataBench 3.0. It includes 6 real-world and 2 synthetic data sets, and 32 big data workloads, covering micro and application benchmarks from areas of search engine, social networks, e-commerce.
BigDataBench a Big Data Benchmark Suite from Web Search Engines By Wanling Gao, Yuqing Zhu, Zhen Jia, Chunjie Luo, Lei Wang, Zhiguo Li, Jianfeng Zhan, Yong Qi, Yongqiang He, Shiming Gong, Xiaona Li, Shujie Zhang and Bizhu Qiu
Mar 16, 2015 BigDataBench Spark workloads. Contribute to yangqiangBigDataBench-Spark development by creating an account on GitHub.
This unified benchmark suite sheds new light on domain-specific hardware and software co-design tailoring the system and architecture to characteristics of the unified eight data motifs other than one or more application case by case. Also, for the first time, we comprehensively characterize the CPU pipeline efficiency using the benchmarks of ...
ties to adopt state-of-the-art technologies in HPC to solve Big Data problems. Recently, we have proposed a key-value pair based com-munication library, DataMPI, which is extending MPI to support HadoopSpark-like Big Data Computing jobs. In this paper, we use BigDataBench, a Big Data benchmark suite, to do comprehensive
Jan 09, 2016 Han R. et al. 2016 BigDataBench-MT A Benchmark Tool for Generating Realistic Mixed Data Center Workloads. In Zhan J., Han R., Zicari R. eds Big Data Benchmarks, Performance Optimization, and Emerging Hardware.
Keywords data center systems, clouds, big data applica-tions, benchmarks,evaluation metrics Received March 28, 2012 accepted June 15, 2012 E-mail zhanjianfengict.ac.cn 1 Introduction We live in a world whereinformationis growingexplosively. To store and process massive data
Chinas first industr y standard bi g data benchmark suite htt p prof.ict.ac.cn BigDataBench y industr ystandard benchmarks About 20 academia ggp roups published pppa pers usin g BigDataBench BigDataBench 2015
BigDataBench a Big Data Benchmark Suite from Internet Services By Lei Wang, Jianfeng Zhan, Chunjie Luo, Yuqing Zhu, Qiang Yang, Yongqiang He, Wanling Gao, Zhen Jia, Yingjie Shi, Shujie Zhang, Chen Zheng, Gang Lu, Kent Zhan, Xiaona Li and Bizhu Qiu
Data Motif-based Proxy Benchmarks for Big Data and AI Workloads. Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Zhen Jia, Daoyi Zheng, Chen Zheng, Xiwen He, Hainan Ye, Haibin Wang, and Rui Ren. 2018 IEEE International Symposium on Workload Characterization IISWC 2018. BigDataBench a Scalable and Unified Big Data and AI Benchmark Suite.
Abstract Big data benchmark suites must include a diversity of data and workloads to be useful in fairly evaluating big data systems and architectures. However, using truly comprehensive benchmarks poses great challenges for the architecture community. First, we need to thoroughly understand the behaviors of a variety of workloads.
HiBench 11, Yahoo Cloud Serving Benchmark 12, BigDataBench 13, BigBench 14 and Berkeley Big Data Benchmark 15 that quantify the Ogre data sourceampstyle facets. The processing view has the well-known Graph500 16 benchmarks and associated machine
Aug 25, 2021 BigDataBench A Dwarf-based Big Data and AI Benchmark Suite BPOE-9 The ninth workshop on Big data benchmarks, Performance, Optimization, and Emerging hardware, in conjunction with Architectural Support for Programming Languages and Operating Systems ASPLOS 2018
Nov 11, 2014 In this paper, we propose a micro-benchmark suite that can be used to evaluate the performance of stand-alone Hadoop MapReduce, with different intermediate data distribution patterns, varied keyvalue sizes, and data types.
Bdgs A scalable big data generator suite in big data benchmarking Z Ming, C Luo, W Gao, R Han, Q Yang, L Wang, J Zhan Advancing big data benchmarks, 138-154 , 2013
Mar 14, 2015 Big Data Benchmarking 1. Big Data Benchmarks Srinivasa Rao Aravilli N Venkata Naga Ravi 2. 2 Why .. Evaluating the effect of a hardwaresoftware upgrade OS, Java VM,. . . Hadoop, Cloudera CDH, Pig, Hive, Impala,. . . Debugging Compare with other clusters or published results. Performance tuning
Zijian Ming, Chunjie Luo, Wanling Gao, Rui Han, Qiang Yang, Lei Wang, Jianfeng Zhan BDGS A Scalable Big Data Generator Suite in Big Data Benchmarking. WBDB 2013 138-154. Zhen Jia, Lei Wang, Jianfeng Zhan, Lixin Zhang, Chunjie Luo Characterizing data analysis workloads in data centers. IISWC 2013 66-76.
Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Daoyi Zheng, Xu Wen, Rui Ren, Chen Zheng, Hainan Ye, Jiahui Dai, Zheng Cao, et al. 2018. BigDataBench A Scalable and Unified Big Data and AI Benchmark Suite. Under review of IEEE Transaction on Parallel and Distributed Systems 2018. Google Scholar Andrew Glew. 1998. MLP yes
Big data benchmark suites must include a diversity of data and workloads to be useful in fairly evaluating big data systems and architectures. However, using truly comprehensive benchmarks poses great challenges for the architecture community. First, we need to thoroughly understand the behaviors of a variety of workloads. Second, our usual simulation-based research methods become ...
The complexity and diversity of big data and AI workloads make understanding them difficult and challenging. This paper proposes a new approach to modelling and characterizing big data and AI workloads. We consider each big data and AI workload as a pipeline of one or more classes of units of computation performed on different initial or intermediate data inputs.
Princeton University - Cited by 1,530 - Big Data - Benchmarking - Convolutional neural networks ... Institute of Computing Technology, Chinese Academy of Science Verified email at ict.ac.cn. ... Bigdatabench A big data benchmark suite from internet services.
Previous benchmark efforts either focus on Internet areas i.e. BigDataBench or pay attention to a specific area i.e. GeneBASE. We present the comprehensive scientific big data benchmark suiteBigDataBench-S. Benchmarks. There are three data sets and 17 workloads in BigDataBench-S. Table 1 summarizes the real-world data sets and workloads ...
Request PDF BigDataBench An open-source big data benchmark suite Booming big data sparks tremendous outpouring of interest in storing and processing these data, and consequently a variety of ...
This involves measuring and comparing big data systems and architecture. What are the Best Big data Benchmark Suites HiBench, AMP Benchmark, BigDataBench, Yahoo Cloud Serving Benchmark, GridMix, CloudSuite, SWIM, TPC Express Benchmark, PUMA Benchmark Suite, LinkBench are some of the Bigdata Benchmark Suites in no particular order.
BigDataBench Benchmarking Big Data Systems httpprof.ict.ac.cnjfzhan INSTITUTE OF COMPUTING TECHNOLOGY 1 Jianfeng Zhan Computer Systems Research Center, IC
Oct 09, 2014 However, a standardized benchmark suite that focuses on helping users evaluate the performance of standalone Hadoop RPC is lacking in current Apache Hadoop distribution. In this paper, we design and develop a micro-benchmark suite that can be used to evaluate the performance of Hadoop RPC in terms of latency and throughput with different data ...
As a multi-disciplinee.g., system, architecture, and data managementresearch effort, BigDataBench is a big data benchmark suite. The current version is BigDataBench 3.0.
In Proc. the 24th International Conference on Very Large Data Bases, August 1998, pp.392-403. 14 Ming Z, Luo C, Gao W, Han R, Yang Q, Wang L, Zhan J. BDGSA scalable Big Data generator suite in Big Data benchmarking. In Proc. the 2013 Workshop Series on Big Data Benchmarking