The HiBench benchmark suite: Characterization of the MapReduce-based data analysis

By Shengsheng Huang, Jie Huang, J. Dai, Tao Xie, Bo Huang. 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010), 2010

793 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/72c2958810686a4f6efde55095b14c66720e782d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Yahya Al-Dhuraibi
2. Nabil Bachir Djarallah
3. Fawaz Paraiso
4. Randy Howard Katz
5. Philippe Merle
6. Yanpei Chen

In Information Systems

1. Yahya Al-Dhuraibi
2. Jianfeng Zhan
3. Qiang Yang
4. Nabil Bachir Djarallah
5. Fawaz Paraiso
6. Chunjie Luo
7. Randy Howard Katz
8. Lei Wang

Citations in the corpus

• The Case for Evaluating MapReduce Performance Using Workload Suites (2011, positive): “HiBench [13] consists of a suite of eight Hadoop programs that include synthetic microbenchmarks and real-world applications – Sort, WordCount, TeraSort, NutchIndexing, PageRank, Bayesian Classification, K-means Clustering, and EnhancedDFSIO.”
• Elasticity in Cloud Computing: State of the Art and Research Challenges (2018, background): “Experiments are conducted mainly on all cloud platforms and models including IaaS, PaaS, SaaS, etc. Benchmarks have both applications and generators.”
• BigDataBench: A big data benchmark suite from internet services (2014, background): “We consider data diversity in terms of both data types and data sources, and pay equal attention to structured, semi-structured, and unstructured data.”
• BigBench V2: The New and Improved BigBench (2017, background): “• BigBench is technology agnostic, whereas many of the existing benchmarks are technology or component bound (HiBench [16], SparkBench [17], MRBS [19], CloudSuite [20], LinkBench [22], and PigMix [28]).”