Optimized Spatiotemporal Data Scheduling Based on Maximum Flow for Multilevel Visualization Tasks

Optimized Spatiotemporal Data Scheduling Based on Maximum Flow for Multilevel Visualization Tasks

Massive spatiotemporal data scheduling in a cloud environment play a significant role in real-time visualization. Existing methods focus on preloading, prefetching, multithread processing and multilevel cache collaboration, which waste hardware resources and cannot fully meet the different schedulin...

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Bibliographic Details
Main Authors: Qing Zhu, Meite Chen, Bin Feng, Yan Zhou, Maosu Li, Zhaowen Xu, Yulin Ding, Mingwei Liu, Wei Wang, Xiao Xie
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
scheduling optimization
maximum flow
spatiotemporal data
multilevel visualization tasks
cloud environment
Online Access:https://www.mdpi.com/2220-9964/9/9/518

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