A comparison of general-purpose distributed systems for data processing
Refereed conference paper presented and published in conference proceedings

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AbstractGeneral-purpose distributed systems for data processing become popular in recent years due to the high demand from industry for big data analytics. However, there is a lack of comprehensive comparison among these systems and detailed analysis on their performance. In this paper, we conduct an extensive performance study on four state-of-the-art general-purpose distributed computing systems. Our results reveal useful insights on the design and implementation, which help the improvement of existing systems and the development of better new systems.
All Author(s) ListJinfeng Li, James Cheng, Yunjian Zhao, Fan Yang, Yuzhen Huang, Haipeng Chen, Ruihao Zhao
Name of ConferenceIEEE International Conference on Big Data
Start Date of Conference05/12/2016
End Date of Conference08/12/2016
Place of ConferenceWashington DC
Country/Region of ConferenceUnited States of America
Proceedings TitleProceedings of the 2016 IEEE International Conference on Big Data
Year2017
Month2
PublisherIEEE
Pages378 - 383
ISBN978-1-4673-9006-4
eISBN978-1-4673-9005-7
LanguagesEnglish-United States

Last updated on 2020-03-06 at 23:11