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Effective use of cloud computing in educational institutions

Open access
Ercan, Tuncay·2010·Procedia - Social and Behavioral Sciences

Abstract

Cloud computing is becoming an adoptable technology for many of the organizations with its dynamic scalability and usage of virtualized resources as a service through the Internet. It will likely have a significant impact on the educational environment in the future. Cloud computing is an excellent alternative for educational institutions which are especially under budget shortage in order to operate their information systems effectively without spending any more capital for the computers and network devices. Universities take advantage of available cloud-based applications offered by service providers and enable their own users/students to perform business and academic tasks. In this paper, we will review what the cloud computing infrastructure will provide in the educational arena, especially in the universities where the use of computers are more intensive and what can be done to increase the benefits of common applications for students and teachers.

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Crossref · 10.1016/j.sbspro.2010.03.130

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Research works printed but not linked: 12

  1. Aymerich, F. M., Fenu, G., Surcis, S., & IEEE. (2008). An Approach to a Cloud Computing Network. 1st International Conference on the Applications of Digital Information and Web Technologies, Ostrava, CZECH REPUBLIC, 120-125. · DOI
  2. Banerjee, P. (2009). An intelligent IT infrastructure for the future. 15th International Symposium on High-Performance Computer Architecture, Proceedings, Feb 14-18, 3. · DOI
  3. Delic, K. A., & Riley, J. A. (2009). Enterprise Knowledge Clouds: Next Generation KM Systems? International Conference on Information, Process, and Knowledge Management, Cancun, MEXICO. 49-53.
  4. Dodda, R. T., Smith, C., & van Moorsel, A. (2009). An Architecture for Cross-Cloud System Management. 2nd International Conference on Contemporary Computing, Nioda, INDIA. 40, 556-567. · DOI
  5. Erickson, 2009, Content-Centered Collaboration Spaces in the Cloud, IEEE Internet Computing, 13, 34, 10.1109/MIC.2009.93 · DOI
  6. Grossman, 2009, Compute and storage clouds using wide area high performance networks, Future Generation Computer Systems-the International Journal of Grid Computing Theory Methods and Applications, 25, 179, 10.1016/j.future.2008.07.009 · DOI
  7. Hayes, 2008, Cloud computing, Communications of the ACM, 51, 9, 10.1145/1364782.1364786 · DOI
  8. Hirata, 2008, Acceleration of unified communications with NGN and SaaS, NEC Technical Journal, 3, 59
  9. Klein, C., & Kaefer, G. (2008). From smart homes to smart cities: Opportunities and challenges from an industrial perspective, Next Generation Teletraffıc and Wired/Wireless Advanced Networking, Proceedings, Lecture Notes in Computer Science, 5174, 260. · DOI
  10. Lijun, M., Chan, W.K., & Tse, T.H. (2008). A tale of clouds: Paradigm comparisons and some thoughts on research issues. IEEE Asia-Pasific Services Computing Conference, APSCC’08, 464-469.
  11. Mitchell, 2008, Learning architecture: issues in indexing Australian education in a Web 2.0 world, Indexer, 26, 163, 10.3828/indexer.2008.50 · DOI
  12. Praveena, 2009, Application of Cloud Computing in Academia, IUP Journal of Systems Management, 7, 50

Cited by

Metadata

Authors
Ercan, T.
Venue
Procedia - Social and Behavioral Sciences
Publisher
Elsevier BV
Published
2010
Volume
2
Issue
2
Pages
938-942
ISSN
1877-0428 (ISSN-L)
OpenAlex
W2116723917
Cited by
422
References
0
FWCI
18.21
Type
conference paper
Language
en
Open access
diamond
Licence

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.