Three-dimensional geospatial information service based on cloud computing

2014 ◽  
Vol 8 (1) ◽  
pp. 085195
Author(s):  
Xi Zhai ◽  
Peng Yue ◽  
Liangcun Jiang ◽  
Linnan Wang
Keyword(s):  
Cloud Computing ◽  
Three Dimensional ◽  
Information Service ◽  
Geospatial Information

scholarly journals TOPOGRAPHICAL HILL SHADING MAP PRODUCTION BASED TIANDITU (MAP WORLD)

2018 ◽  
Vol XLII-3 ◽  
pp. 1681-1684
Author(s):  
C. Wang ◽  
Z. Zha ◽  
D. Tang ◽  
J. Yang
Keyword(s):  
Digital Elevation Model ◽  
Three Dimensional ◽  
Information Service ◽  
Model Data ◽  
Geospatial Information ◽  
The Public ◽  
Digital Elevation ◽  
On Line ◽  
Elevation Model ◽  
Digital Elevation Model Data

TIANDITU (Map World) is the public version of National Platform for Common Geospatial Information Service, and the terrain service is an important channel for users on the platform. With the development of TIANDITU, topographical hill shading map production for providing and updating global terrain map on line becomes necessary for the characters of strong intuition, three-dimensional sense and aesthetic effect. As such, the terrain service of TIANDITU focuses on displaying the different scales of topographical data globally. And this paper mainly aims to research the method of topographical hill shading map production globally using DEM (Digital Elevation Model) data between the displaying scales about 1 : 140,000,000 to 1 : 4,000,000, corresponded the display level from 2 to 7 on TIANDITU website.

Multidimensional Resource Scheduling in Cloud Data Centers

2014 ◽  
Vol 1008-1009 ◽  
pp. 1513-1516
Author(s):  
Hai Na Song ◽  
Xiao Qing Zhang ◽  
Zhong Tang He
Keyword(s):  
Cloud Computing ◽  
Data Centers ◽  
Bin Packing ◽  
Virtual Machines ◽  
Three Dimensional ◽  
Resource Scheduling ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Cloud Data ◽  
Cloud Data Centers

Cloud computing environment is regarded as a kind of multi-tenant computing mode. With virtulization as a support technology, cloud computing realizes the integration of multiple workloads in one server through the package and seperation of virtual machines. Aiming at the contradiction between the heterogeneous applications and uniform shared resource pool, using the idea of bin packing, the multidimensional resource scheduling problem is analyzed in this paper. We carry out some example analysis in one-dimensional resource scheduling, two-dimensional resource schduling and three-dimensional resource scheduling. The results shows that the resource utilization of cloud data centers will be improved greatly when the resource sheduling is conducted after reorganizing rationally the heterogeneous demands.

CloudGanga

2019 ◽  
pp. 278-297 ◽  
Author(s):  
Rabindra K. Barik
Keyword(s):  
Cloud Computing ◽  
Spatial Data ◽  
Learning Approaches ◽  
Geospatial Information ◽  
Ganga Basin ◽  
Hydro Power ◽  
Data Infrastructure ◽  
Irrigation Project ◽  
Well Location ◽  
River Ganga

The present research paper proposes and develops a Cloud computing based Spatial Data Infrastructure (SDI) Model named as CloudGanga for sharing, analysis and processing of geospatial data particularly in River Ganga Basin management in India. The main purpose of the CloudGanga is to integrate all the geospatial information such as dam location, well location, irrigation project, hydro power project, canal network and central Water Commission gauge stations locations related to River Ganga. CloudGanga can help the decision maker/ planner or common users to get enough information for their further research and studies. The open source software (Quantum GIS) has been used for the development of geospatial database. QGIS Plugin has been linked with Quantum GIS for invoking cloud computing environment. It has also discussed about the various overlay analysis in CloudGanga environment. In the present research, machine learning approaches are also used in a R tool for well locations which are associated with the basin of River Ganga.

Multi-disciplinary Use of Three-Dimensional Geospatial Information

2021 ◽  
pp. 271-296
Author(s):  
Thomas Krijnen ◽  
Francesca Noardo ◽  
Ken Arroyo Ohori ◽  
Jantien Stoter
Keyword(s):  
Three Dimensional ◽  
Geospatial Information

The Establishment of Agricultural Information Service Model under the Internet of Things and Cloud Computing Environment

2014 ◽  
Vol 687-691 ◽  
pp. 1966-1969 ◽  
Author(s):  
Qiu Dong Yu ◽  
Yun Chen Tian ◽  
Xu Feng Hua
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Information Integration ◽  
Information Service ◽  
Information Services ◽  
The Internet ◽  
Service Model ◽  
Service Information ◽  
Networking Technology ◽  
The Internet Of Things

With the advent of the third information revolution, the internet of things (IOT) and cloud computing, as the representative of the emerging field of information technology, began in force. As an important part of the information, agricultural information has opportunities and challenges. The current agricultural information service information integration is low, real-time information is not enough, personalized service issues is incomplete. This paper proposes an integrated agricultural information service model IOT building programs and cloud computing. The program implements networking technology and cloud computing technology docked in the field of agricultural information service, a better solution to the shortage of agricultural information service in the presence of current, reducing the threshold for the use of agricultural information services, improving the efficiency of agricultural information services.

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