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XML-Based Information Fusion Architecture Based on Cloud Computing Ecosystem

by I-Ching Hsu

1 Department of Computer Science and Information Engineering, National Formosa University, Huwei Township, Yunlin County 632, Taiwan.
* Corresponding Author: I-Ching Hsu. Email: hsuic@nfu.edu.tw.

Computers, Materials & Continua 2019, 61(3), 929-950. https://doi.org/10.32604/cmc.2019.07876

Abstract

Considering cloud computing from an organizational and end user computing point of view, it is a new paradigm for deploying, managing and offering services through a shared infrastructure. Current development of cloud computing applications, however, are the lack of a uniformly approach to cope with the heterogeneous information fusion. This leads cloud computing to inefficient development and a low potential reuse. This study addresses these issues to propose a novel Web 2.0 Mashups as a Service, called WMaaS, which is a fundamental cloud service model. The WMaaS is developed based on a XML-based Mashups Architecture (XMA) that is composed of Web 2.0 Mashups technologies, including Web Data, Web API, Web Interaction, and Web Presentation to associate with existing service models. To demonstrate the feasibility of this approach, this study implemented a Ubiquitous Location-based Service System (ULSS) that is a cloud computing application developed based on WMaaS to provide continuous and location-based schedule information for organization monitoring and end user needs.

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Cite This Article

APA Style
Hsu, I. (2019). Xml-based information fusion architecture based on cloud computing ecosystem . Computers, Materials & Continua, 61(3), 929-950. https://doi.org/10.32604/cmc.2019.07876
Vancouver Style
Hsu I. Xml-based information fusion architecture based on cloud computing ecosystem . Comput Mater Contin. 2019;61(3):929-950 https://doi.org/10.32604/cmc.2019.07876
IEEE Style
I. Hsu, “XML-Based Information Fusion Architecture Based on Cloud Computing Ecosystem ,” Comput. Mater. Contin., vol. 61, no. 3, pp. 929-950, 2019. https://doi.org/10.32604/cmc.2019.07876

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cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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