Big 3D spatial data processing using cloud computing environment

Author(s):  
Ramanathan Sugumaran ◽  
Jeff Burnett ◽  
Andrew Blinkmann
Annals of GIS ◽  
2014 ◽  
Vol 20 (4) ◽  
pp. 255-264 ◽  
Author(s):  
James W. Hegeman ◽  
Vivek B. Sardeshmukh ◽  
Ramanathan Sugumaran ◽  
Marc P. Armstrong

2021 ◽  
Vol 2078 (1) ◽  
pp. 012080
Author(s):  
Fukang Xing ◽  
Zheng Zhang ◽  
Bolin Ma ◽  
Bingzheng Li

Abstract In order to solve the increasing attacks on container file system and the IO errors of containers in big data processing scenarios in cloud computing environment, a scheme based on the idea of heterogeneous redundancy in endogenous security and transformation of container union file system was proposed to improve the security and fault tolerance of containers. Based on the above scheme, experiments are carried out on Docker, the most popular container technology, and OverlayFS, the most representative union file system. The experimental results show that this scheme can improve the security and fault tolerance of containers on the premise of ensuring availability, and realize the endogenous security of containers.


Author(s):  
Rabindra K. Barik ◽  
Rakesh Kumar Lenka ◽  
Harishchandra Dubey ◽  
Kunal Mankodiya

This chapter proposes and develops a cloud-computing-based SDI model named as TCloud for sharing, analysis, and processing of spatial data particularly in the Temple City of India, Bhubaneswar. The main purpose of TCloud is to integrate all the spatial information such as tourism sites which include various temples, mosques, churches, monuments, lakes, mountains, rivers, forests, etc. TCloud can help the decision maker or planner or common users to get enough information for their further research and studies. It has used open source GIS quantum GIS for the development of spatial database whereas QGIS plugin has been linked with quantum GIS for invoking cloud computing environment. It has also discussed the various spatial overlay analysis in TCloud environment.


2019 ◽  
pp. 935-958
Author(s):  
Rabindra K. Barik ◽  
Rakesh Kumar Lenka ◽  
Harishchandra Dubey ◽  
Kunal Mankodiya

This chapter proposes and develops a cloud-computing-based SDI model named as TCloud for sharing, analysis, and processing of spatial data particularly in the Temple City of India, Bhubaneswar. The main purpose of TCloud is to integrate all the spatial information such as tourism sites which include various temples, mosques, churches, monuments, lakes, mountains, rivers, forests, etc. TCloud can help the decision maker or planner or common users to get enough information for their further research and studies. It has used open source GIS quantum GIS for the development of spatial database whereas QGIS plugin has been linked with quantum GIS for invoking cloud computing environment. It has also discussed the various spatial overlay analysis in TCloud environment.


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