TCloud

2018 ◽  
pp. 116-144 ◽  
Author(s):  
Rabindra K. Barik ◽  
Rakesh Kumar Lenka ◽  
Harishchandra Dubey ◽  
Kunal Mankodiya
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
Decision Maker ◽  
Spatial Data ◽  
Spatial Information ◽  
Overlay Analysis ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Open Source Gis ◽  
The Temple

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.

TCloud

2019 ◽  
pp. 935-958
Author(s):  
Rabindra K. Barik ◽  
Rakesh Kumar Lenka ◽  
Harishchandra Dubey ◽  
Kunal Mankodiya
Keyword(s):  
Cloud Computing ◽  
Open Source ◽  
Decision Maker ◽  
Spatial Data ◽  
Spatial Information ◽  
Overlay Analysis ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Open Source Gis ◽  
The Temple

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.

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

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