## 3 System Architecture and Key Technologies
### CMMN-Based Heterogeneous Cloud Resource Integration and Scheduling
#### 3.1.2 Task Scheduling Optimization Based on CMMN Algorithm
_IEEE Access_**2019**, \(7\), 147672-147682. [CrossRef]
* [PERSON] (2015) [PERSON]; [PERSON] Efficient task scheduling algorithms for heterogeneous multi-cloud environment. _J. Supercomput._**2015**, _71_, 1505-1533. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Efficient task scheduling for budget constrained parallel applications on heterogeneous cloud computing systems. _Future Gener. Comput. Syst._**2017**, _74_, 1-11. [CrossRef]
* [PERSON] (2019) [PERSON]; [PERSON] An energy-efficient task scheduling algorithm for heterogeneous cloud computing systems. _Clust. Comput._**2019**, _22_, 509-527. [CrossRef]
* [PERSON] (2024) [PERSON]; [PERSON] Task scheduling optimization in heterogeneous cloud computing environments: A hybrid GA-GWO approach. _J. Parallel Distrib. Comput._**2024**, _183_, 104766. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models. _Geosci. Front._**2021**, _12_, 479-493. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Research on urban 3D geological modeling based on multi-modal data fusion: a case study in Jinan, China. _Earth Sci. Inform._**2023**, _16_, 549-563. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON]; [PERSON] Improving Geological Remote Sensing Interpretation via Optimal Transport-Based Point-Surface Data Fusion. _Remote Sens._**2023**, _16_, 53. [CrossRef]
* [PERSON] et al. (2015) [PERSON]; [PERSON]; [PERSON]; [PERSON] A visualization-analytics-interaction workflow framework for exploratory and explanatory search on geo-located search data using the meme media digital dashboard. In Proceedings of the 2015 19 th International Conference on Information Visualisation, Barcelona, Spain, 22-24 July 2015; pp. 300-309. [CrossRef]
* [PERSON] and [PERSON] (2020) [PERSON]; [PERSON] Real-time and archival data visualisation techniques in city dashboards. _Int. J. Geogr. Inf. Sci._**2020**, _34_, 344-366. [CrossRef]* [PERSON] and [PERSON] (2020) [PERSON]; [PERSON] Triangulum city dashboard: An interactive data analytic platform for visualizing smart city performance. _Processes_**2020**, \(8\), 250. [CrossRef]
* [PERSON] et al. (2024) [PERSON]; [PERSON]; [PERSON]; [PERSON] Research on the sharing technology of large-scale 3D geological models based on 3D Tiles. _Comput. Tech. Geophys. Geochem. Explor._**2024**, _46_, 242-250. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Key technologies and applications of integrated management for urban full-space 3D model data. _Bull. Geol. Sci. Technol._**2023**, _42_, 388-397. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Integrated multi-scale reservoir data representation and indexing for reservoir data management and characterization. _Comput. Geosci._**2020**, _138_, 104433. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] Real-time visualization of 3D terrains and subsurface geological structures. _Adv. Eng. Softw._**2018**, _115_, 314-326. [CrossRef]

**Disclaimer/Publisher's Note:** The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.