Optimizing data locality by executor allocation in spark computing environment
Data locality is an important concept in big data processing. Most of the existing research optimized data locality from the aspect of task scheduling. However, as the execution container of tasks, the executors started on which nodes can directly affect the locality level achieved by the tasks. Thi...
Saved in:
| Published in: | Computer Science and Information Systems Vol. 20; no. 1; pp. 491 - 512 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
|
| ISSN: | 1820-0214, 2406-1018 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!