A NEW CLOUD-EDGE-TERMINAL RESOURCES COLLABORATIVE SCHEDULING FRAMEWORK FOR MULTI-LEVEL VISUALIZATION TASKS OF LARGE-SCALE SPATIO-TEMPORAL DATA

• Published in: International archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XLIII-B4-2020; pp. 477 - 483
• Main Authors: Li, X. M., Wang, W. X., Tang, S. J., Xia, J. Z., Zhao, Z. G., Li, Y., Zheng, Y., Guo, R. Z.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Gottingen Copernicus GmbH 25.08.2020; Copernicus Publications
• Subjects: Cloud computing; Collaboration; Construction; Construction management; Data; Mapping; Optimization; Prototypes; Quality assessment; Resource scheduling; Scheduling; Scientific visualization; Spatiotemporal data; Storage; Task scheduling; Visualization; Workflow

To address the multi-modal spatio-temporal data efficient scheduling problem of the diverse and highly concurrent visualization applications in cloud-edge-terminal environment, this paper systematically studies the cloud-edge-terminal integrated scheduling model of multi-level visualization tasks of...