• Corpus ID: 20714930

Fog Computing based SDI Framework for Mineral Resources Information Infrastructure Management in India

@article{Barik2017FogCB,
  title={Fog Computing based SDI Framework for Mineral Resources Information Infrastructure Management in India},
  author={Rabindra Kumar Barik and Rakesh Kumar Lenka and N. Vijaya Simha and Harishchandra Dubey and Kunal Mankodiya},
  journal={arXiv: Distributed, Parallel, and Cluster Computing},
  year={2017}
}
Spatial Data Infrastructure (SDI) is an important concept for sharing spatial data across the web. With cumulative techniques with spatial cloud computing and fog computing, SDI has the greater potential and has been emerged as a tool for processing, analysis and transmission of spatial data. The Fog computing is a paradigm where Fog devices help to increase throughput and reduce latency at the edge of the client with respect to cloud computing environment. This paper proposed and developed a… 

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References

SHOWING 1-10 OF 28 REFERENCES

FogGIS: Fog Computing for geospatial big data analytics

TLDR
A Fog Computing based framework named FogGIS for mining analytics from geospatial data that has been built a prototype using Intel Edison, an embedded microprocessor.

Towards Spatial Data Infrastructures in the Clouds

TLDR
This paper reviews this novel technology and identifies the paradigm behind it with regard to Spatial Data Infrastructures (SDIs), which can be regarded as a future direction for SDIs to enable geospatial cloud interoperability.

Service Oriented Architecture Based SDI Model for Mineral Resources Management in India

TLDR
The present work reports the development of an efficient interoperable Service Oriented Architecture (SOA) based SDI Model for mineral resources management in India to provide better geospatial web services for different applications in terms of their functionality, ease of operation and performance.

An integrated architectural framework for geoprocessing in cloud environment

TLDR
The study makes an attempt to analyze the current state of geoprocessing services over cloud, with exiting GIS Cloud platform solutions in the literature to counter the challenges of GIS cloud, and proposes a design and architectural framework for geop rocessing over Cloud platform, based on OGC standards.

Big Data and cloud computing: innovation opportunities and challenges

TLDR
This review introduces future innovations and a research agenda for cloud computing supporting the transformation of the volume, velocity, variety and veracity into values of Big Data for local to global digital earth science and applications.

Geospatial services in the Cloud

Exploring utility system SDI – Managerial and technical perspectives

Bringing GEOSS Services into Practice: A Capacity Building Resource on Spatial Data Infrastructures (SDI)

TLDR
BGSIP is presented, an integrated set of teaching material and software to facilitate the publication and use of environmental data through standardized discovery, view, download, and processing services, further facilitating the registration of data into GEOSS.

Service Oriented Architecture Based SDI Model for Education Sector in India

TLDR
The present work reports the development of an efficient interoperable Service Oriented Architecture (SOA) based SDI Model for education sector that is distributed, modular and allows the publishing of web service descriptions as well as to submit requests to discover the web service of user’s interests.

Spatial Data Infrastructure Requirements for Mobile Location Based Journey Planning

TLDR
The initial implementation and testing of this prototype LBS for journey planning has revealed that the SDI context is well suited as a framework within which to examine the related LBS issues and that data structure and the means by which large data sets are mined is critical to the success of timely information delivery over limited bandwidth media.