International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

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 Volume 10, Issue 1 (January 2023), Pages: 138-143

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 Original Research Paper

 User interface modeling technique in the cloud environment

 Author(s): Sang Young Lee *

 Affiliation(s):

 Department of Health Administration, Namseoul University, Cheonan, South Korea

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-8291-9402

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2023.01.018

 Abstract:

For designing a qualified user interface, there needs to be a graphic expert, requirement analyst, system designer, programmer, technical expertise, social activity scientist, and experts for each field. However, it is extremely difficult for these various experts to participate in such user interface design. This paper focused on design rules and modeling techniques of user interfaces that can support user availability. The visual cohesion of business events can be improved by modeling the prototype of the object-oriented user interface based on the object. The clustering method uses transaction objects and forms objects based on business event objects and task objects. We have studied it in detail so that a prototype of the user interface can be created. The significance and conclusions of this study are as follows. First, visual cohesion is improved by designing the object of functional, sequential, and communicative objects. Second, the object design rules of the user interface were created so that even an inexperienced designer could create a high-quality prototype. Third, it enhances the user's preference, ease, understanding, compliance rate, and quality of graphic layout by improving object-based visual cohesion. Fourth, functional, sequential, communicative, and procedural cohesion of business events is increased by the clustering of user interface objects. As a result, this paper is providing a modeling method of user interface technique in the cloud environment that could enhance the visual cohesion of user interface prototypes.

 © 2022 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Modeling process, User interface, Cloud computing

 Article History: Received 23 December 2021, Received in revised form 21 August 2022, Accepted 29 September 2022

 Acknowledgment 

Funding for this paper was provided by Namseoul University.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Lee SY (2023). User interface modeling technique in the cloud environment. International Journal of Advanced and Applied Sciences, 10(1): 138-143

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 Figures

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 References (12)

  1. Alhomoud A, Munir R, Disso JP, Awan I, and Al-Dhelaan A (2011). Performance evaluation study of intrusion detection systems. Procedia Computer Science, 5: 173-180. https://doi.org/10.1016/j.procs.2011.07.024   [Google Scholar]
  2. Ferry N, Rossini A, Chauvel F, Morin B, and Solberg A (2013). Towards model-driven provisioning, deployment, monitoring, and adaptation of multi-cloud systems. In the IEEE Sixth International Conference on Cloud Computing, IEEE, Santa Clara, USA: 887-894. https://doi.org/10.1109/CLOUD.2013.133   [Google Scholar]
  3. Goonasekera N, Lonie A, Taylor J, and Afgan E (2016). CloudBridge: A simple cross-cloud python library. In the XSEDE16 Conference on Diversity, Big Data, and Science at Scale, Association for Computing Machinery, Miami, USA: 1-8. https://doi.org/10.1145/2949550.2949648   [Google Scholar] PMid:34423340 PMCid:PMC8375622
  4. Han J, Park S, and Kim J (2020). Dynamic overcloud: Realizing microservices-based IoT-cloud service composition over multiple clouds. Electronics, 9(6): 969. https://doi.org/10.3390/electronics9060969   [Google Scholar]
  5. Kim BS, Jung YW, Oh BT, Kim SY, Son S, Seo JH, and Kang DJ (2020). Multi-cloud technology introduction and research trends. Electronics and Telecommunications Trends, 35(3): 45-54. https://doi.org/10.22648/ETRI.2020.J.350305   [Google Scholar]
  6. Kratzke N and Quint PC (2017). Understanding cloud-native applications after 10 years of cloud computing-A systematic mapping study. Journal of Systems and Software, 126: 1-16. https://doi.org/10.1016/j.jss.2017.01.001   [Google Scholar]
  7. Lassoued Z, Alhendawi M, and Bashitialshaaer R (2020). An exploratory study of the obstacles for achieving quality in distance learning during the COVID-19 pandemic. Education Sciences, 10(9): 232. https://doi.org/10.3390/educsci10090232   [Google Scholar]
  8. Lee SY (2020). Cloud based blockchain technology for personal health. International Journal of Advanced Nursing Education and Research, 5(3): 14-20.   [Google Scholar]
  9. Lim YM (2017). The collaborative image editing tool based on the cloud computing. Journal of Korea Multimedia Society, 20(8): 1456-1463. https://doi.org/10.9717/kmms.2017.20.8.1456   [Google Scholar]
  10. Pallis G (2010). Cloud computing: The new frontier of internet computing. IEEE Internet Computing, 14(5): 70-73. https://doi.org/10.1109/MIC.2010.113   [Google Scholar]
  11. Petcu D (2013). Multi-cloud: Expectations and current approaches. In the international workshop on Multi-cloud applications and federated clouds, Association for Computing Machinery, Prague, Czech Republic: 1-6. https://doi.org/10.1145/2462326.2462328   [Google Scholar] PMid:23316704 PMCid:PMC3606312
  12. Zhang Q, Cheng L, and Boutaba R (2010). Cloud computing: State-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1): 7-18. https://doi.org/10.1007/s13174-010-0007-6   [Google Scholar]