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Cloud Computing SaaS Paradigm for Efficient Modelling of Solar Features and Activities

Cloud Computing SaaS Paradigm for Efficient Modelling of Solar Features and Activities

Sofyan Mohammad Hayajneh
Copyright: © 2015 |Volume: 5 |Issue: 3 |Pages: 15
ISSN: 2156-1834|EISSN: 2156-1826|EISBN13: 9781466680050|DOI: 10.4018/IJCAC.2015070102
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MLA

Hayajneh, Sofyan Mohammad. "Cloud Computing SaaS Paradigm for Efficient Modelling of Solar Features and Activities." IJCAC vol.5, no.3 2015: pp.20-34. http://doi.org/10.4018/IJCAC.2015070102

APA

Hayajneh, S. M. (2015). Cloud Computing SaaS Paradigm for Efficient Modelling of Solar Features and Activities. International Journal of Cloud Applications and Computing (IJCAC), 5(3), 20-34. http://doi.org/10.4018/IJCAC.2015070102

Chicago

Hayajneh, Sofyan Mohammad. "Cloud Computing SaaS Paradigm for Efficient Modelling of Solar Features and Activities," International Journal of Cloud Applications and Computing (IJCAC) 5, no.3: 20-34. http://doi.org/10.4018/IJCAC.2015070102

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Abstract

Cloud computing is one of the promising approaches that add a lot of revolutionary contribution to power many real life applications. More power is gained by the ability of such approach to handle different programming languages that were previously handled by one standalone platform (normal computer) only. There are many different solar activities that originate from the Sun and may extremely impact daily life. The existence of these activities is highly associated to different solar features that can be modelled using the huge number of available solar images. There are many different agencies that analyse these images to visualize these activities and features. In this paper, a new cloud-based service that allows efficient and remote access for the users and specialists in the Solar imaging field is proposed without overwhelming the users with any software installation, maintenance, and not requiring them to upgrade to new releases of this service. It is aimed to provide such a service in real time using cloud computing capabilities while saving the cost of procuring resources.

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