Charging for Computer Networks at Higher Educational Institutions in Developing Countries
| dc.citation.doi | https://doi.org/10.23962/10539/19779 | |
| dc.citation.epage | 10 | |
| dc.contributor.author | Kumolalo, F.O. | |
| dc.contributor.author | Olajubu, E.A. | |
| dc.contributor.author | Aderounmu, G.A. | |
| dc.date.accessioned | 2016-02-27T11:04:10Z | |
| dc.date.available | 2016-02-27T11:04:10Z | |
| dc.date.issued | 2008-12-15 | |
| dc.description.abstract | The advantage of the Internet to academia and research cannot be underestimated; nevertheless in developing countries the ability to support this important resource, as a viable tool for teaching and research, is undermined by lack of funding. This makes it necessary to apply a charging mechanism that will make it possible to render this facility available to the higher education system, while encouraging its use primarily for teaching and research. In this paper we present a proposal for a charging system that can be applied to achieve this aim. Our proposal discourages the use of the Academic Network for purposes other than teaching and research. | |
| dc.identifier.citation | Kumolalo, F.O., Olajubu, E.A., & Aderounmu, G.A. (2008). Charging for computer networks at higher educational institutions in developing countries. The Southern African Journal of Information and Communication (SAJIC), 9, 58-67. https://doi.org/10.23962/10539/19779 | en_ZA |
| dc.identifier.issn | ISSN 1607-2235 (print version) | |
| dc.identifier.issn | ISSN 2077-5040 (online version) | |
| dc.identifier.uri | http://hdl.handle.net/10539/19779 | |
| dc.identifier.uri | https://doi.org/10.23962/10539/19779 | |
| dc.language.iso | en | en_ZA |
| dc.publisher | LINK Centre, University of the Witwatersrand (Wits), Johannesburg | en_ZA |
| dc.subject | Higher Educational Networks, National Research and Education Networks, charging schemes | |
| dc.title | Charging for Computer Networks at Higher Educational Institutions in Developing Countries | en_ZA |
| dc.type | Article | en_ZA |
| ddi.datatype | DAILY BANDWIDTH AGGREGATE USAGE PATTERN | |
| ddi.geogcover | Uganda, Kenya | |
| ddi.method | The empirical study carried out within the OAUNET in Obafemi Awolowo University showed that the pattern of aggregate traffic levels fluctuates following the Extreme Value Type I distribution function. Peak periods are the time of maximum usage, mostly during the day, especially during working hours, while off-peak periods are in the early hours of the day and late hours in the evenings. These patterns characterise Internet usage and are also observed in research and academic networks of the HEI. |