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Cloud Based Mobile Services in Academic Environment
University of Kurdistan, Computer and IT Department, Iraq.
Florida State University, Computer Science Department, United States.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
2017 (English)In: Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 691-696, article id 8560877Conference paper, Published paper (Refereed)
Abstract [en]

Wireless technology progress in combination with widespread use of mobile devices, has facilitated to provide effective and efficient services in many domains such as health, transport, commerce, government, education, etc. However, the efficiency of existing infrastructure remains low due to miss-understanding of the user needs and resources. The goal of this paper is to identify and categories mobile services in educational environment taking into consideration the use of shared services as cloud computing and cellular communication technologies. Interaction and integration of existing technologies and exploitation of intelligent methods provide mobile services to satisfy the requirements of faculties, administrators, staffs, students and other users in academic environment properly. In this paper, the primary focus is on services for students' needs; then capabilities of cloud computing or wireless technologies that could be used for implementing of these services were denoted. Finally, the challenges of cloud computing usage for academic areas were denoted. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 691-696, article id 8560877
Keywords [en]
Academic environment, Cloud computing, Mobile services, Value added services
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-35819DOI: 10.1109/CSCI.2017.119ISI: 000455029500123Scopus ID: 2-s2.0-85060606007ISBN: 9781538626528 (print)OAI: oai:DiVA.org:miun-35819DiVA, id: diva2:1297222
Conference
2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017, 14 December 2017 through 16 December 2017
Available from: 2019-03-19 Created: 2019-03-19 Last updated: 2019-05-28Bibliographically approved

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Taami, Tania

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf