您当前的位置:
首页 >
文章列表页 >
A Novel Data Skew Handling Method for Geo-Distributed Big Data Computing in Spark
更新时间:2026-08-24
    • A Novel Data Skew Handling Method for Geo-Distributed Big Data Computing in Spark

    • Big Data Research   (2026)
    • DOI:10.11959/j.issn.2096-0271.BDR26291    

      CLC: TP391.9
    • Received:02 August 2026

      Revised:2026-08-13

      Accepted:24 August 2026

    移动端阅览

  • He Yulin, Chang Jiale, Xu Hepeng, et al. A Novel Data Skew Handling Method for Geo-Distributed Big Data Computing in Spark[J/OL]. Big Data Research, 2026. DOI: 10.11959/j.issn.2096-0271.BDR26291.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

A scalable parallel sorting algorithm by regular sampling for big data
Gansu smart tourism system based on big data
Big data and computing models
Analysis and research on the strategy and problems of “Channel Computing Resources from the East to the West”
Digital transformation in higher education:a systematic review

Related Author

Ying WANG
Zhiguang CHEN
Yutong LU
Liang GUO
Yi YANG
Bingfeng QIN
Jianwen CAO
Min LI

Related Institution

School of Information Science and Engineering, Lanzhou University
Key Laboratory of Tourism Information Fusion Processing and Data Ownership Protection, Ministry of Culture and Tourism, Lanzhou University
Technology Information Department, Gansu Provincial Department of Culture and Tourism
School of Computer and Artificial Intelligence, Lanzhou Polytechnical College
Key Laboratory of Artificial Intelligence and Computing Power Technology
0