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Geo-based Image Application on PaaS Cloud Computing: Open Source Approach

Authors:

Kwangseob KimAuthors Info & Claims

ICIGP '18: Proceedings of the 2018 International Conference on Image and Graphics Processing

Pages 143 - 146

https://doi.org/10.1145/3191442.3191454

Published: 24 February 2018 Publication History

Abstract

The interest and demand for cloud computing and application models are increasing from research institutions and industry, and it applies to many information systems and web services. Information communication technology (ICT) is directly related to web applications of geo-based image or complex typed geo-based information. When developing these applications, it is necessary to study and analyze the applicability of the PaaS cloud technology, since it is an important platform for implementing a cloud ecosystem deployment handling large volume of geo-based images. However, the development of geo-based image processing applications and the deployment of functional extensions based on PaaS cloud is globally an early stage. The study explores the contents of the PaaS cloud computing and provides a way to apply the container method, which is one of PaaS cloud core elements. Open source PaaS technologies and technological components in the practical design and implementation stages are proven to be highly adaptable and scalable ones for web-based applications, which wants to capitalize on the economic cloud computing platform. It is expected that the results of this study will utilize a PaaS cloud application scheme for on-line geo-based image processing system.

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Cited By

Jacoby DWynden AGao BGiannini FCosta MCoady Y(2019)Geospatial Computing Collaborations2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)10.1109/PACRIM47961.2019.8985053(1-8)Online publication date: Aug-2019
https://doi.org/10.1109/PACRIM47961.2019.8985053

Index Terms

Geo-based Image Application on PaaS Cloud Computing: Open Source Approach
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Image processing

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ICIGP '18: Proceedings of the 2018 International Conference on Image and Graphics Processing

February 2018

183 pages

ISBN:9781450363679

DOI:10.1145/3191442

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Wuhan Univ.: Wuhan University, China

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Association for Computing Machinery

New York, NY, United States

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Published: 24 February 2018

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ICIGP 2018

ICIGP 2018: 2018 International Conference on Image and Graphics Processing

February 24 - 26, 2018

Hong Kong, Hong Kong

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Cited By

Jacoby DWynden AGao BGiannini FCosta MCoady Y(2019)Geospatial Computing Collaborations2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)10.1109/PACRIM47961.2019.8985053(1-8)Online publication date: Aug-2019
https://doi.org/10.1109/PACRIM47961.2019.8985053

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