Integration of Multi-Source Landslide Disaster Data Based on Flink Framework and APSO Load Balancing Task Scheduling
As monitoring technologies and data collection methodologies advance, landslide disaster data reflects attributes such as diverse sources, heterogeneity, substantial volumes, and stringent real-time requirements. To bolster the data support capabilities for the monitoring, prevention, and management...
Saved in:
Main Authors: | Zongmin Wang, Huangtaojun Liang, Haibo Yang, Mengyu Li, Yingchun Cai |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2220-9964/14/1/12 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Load prediction based elastic resource scheduling strategy in Flink
by: Ziyang LI, et al.
Published: (2020-10-01) -
Flow-network based auto rescale strategy for Flink
by: Ziyang LI, et al.
Published: (2019-08-01) -
Characterisation of precursory seismic activity towards early warning of landslides via semi-supervised learning
by: David Murray, et al.
Published: (2025-01-01) -
Handling imbalanced samples in landslide susceptibility evaluation
by: You TIAN, et al.
Published: (2024-11-01) -
Enhanced Landslide Susceptibility Assessment in Western Sichuan Utilizing DCGAN-Generated Samples
by: Yuanxin Tong, et al.
Published: (2024-12-01)