Optimization of Cybercafe Internet Service and Costs under Stochastic Demand

Authors(3) :-Kizito Paul Mubiru, Senfuka Christopher, Maureen N. Ssempijja

We consider a set of cybercafes faced with an optimal choice of bandwidth for internet service under stochastic stationary demand. The choice is made over uniformly time horizons with a goal of optimizing costs. Considering customer demand and operating costs of internet service at cybercafes, we formulate a finite state markov decision process model where states of a markov chain represent possible states of demand for internet service. An operational cost matrix is generated; representing the long run measure of performance for the markov decision process problem. The problem is to determine an optimal bandwidth adjustment policy at cybercafes so that the long run operational costs are minimized for the given state of demand. Using dynamic programming, the optimal bandwidth adjustment policies are determined at least cost over a finite period planning horizon. Results from the case study demonstrate the existence of an optimal state-dependent option for bandwidth adjustment policy and costs of internet service at cybercafes.

Authors and Affiliations

Kizito Paul Mubiru
Department of Mechanical & Production Engineering, Kyambogo University, Kyambogo, Uganda
Senfuka Christopher
Department of Engineering, Kabaale University, Kabaale, Uganda
Maureen N. Ssempijja
Department of Mechanical & Production Engineering, Kyambogo University, Kyambogo, Uganda

Bandwidth Adjustment; Cost Optimization; Internet Service; Stochastic Demand

  1. Doezi Y (2000). “The Good Research Guide for small-scale Research projects “Open University Press, Buckingham
  2. Kuboye B.,Alese B.,Imasuen F.(2012) A twin Approach to Internet service provision in sparse rural community in Nigeria,International Journal of Networks and Communications,2(5),132-137.
  3. Review,Internet ,ICT,Broadband and consumer e-commrce in Uganda,June 2017.
  4. Stewart J & Williams R (1998),”The co-evaluation of society and multimedia Technology”, 16(3)
  5. Jensen M (2002) The African Internet,Astatus report http//www.3.sn.apc.org/africa/afstat.htm
  6. Nyamoko O,Richard R & Makoi A (2014) User Activity-Based Decision Support for cost optimization of cybercafe investment, International Journal of Scientific and Technology Research,3(5),15-17.
  7. Farbey B,Land F & Target D.(2002) IT Investment:Astudy of Methods and Practice,Butterworth and Heinemann
  8. Bergout E (1997) Evaluation of Information System Proposal.Design of a Decision Support Method.Doctoral Dissertation.Delft University of Technology
  9. Clark D (1995) Model for Cost Allocation and pricing in the internet,The Journal of Electronic Publishing,1(1-2);presented at MIT workshop on Internet Economics.
  10. Huan H,Ke X & Ying L(2011),Internet Resource Pricing Models,Mechanisms and Methods
  11. Huseyin H,Nihatkasap,H?seyinsavaran A(2014). A Bandwidth sourcing and task allocation model in telecommunications under stochastic QoS guarentees. Applied Soft Computing, vol.24, 1112-1123.
  12. Sarafeimidis V & Smithson J (2008) Interpretive Information Systems Evaluation in Practice: Experience from case study.Computer science Report Series.Department of Computing,University of Surrey,CS-98-01.
  13. Dhillon G (2012) Interpreting key issues in IS/IT.Benefits Management.Proceedings of the 33rd Hawaii International Conference on System Science, Jan 04-07.

Publication Details

Published in : Volume 6 | Issue 3 | May-June 2019
Date of Publication : 2019-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 93-100
Manuscript Number : IJSRSET1962158
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Kizito Paul Mubiru, Senfuka Christopher, Maureen N. Ssempijja, " Optimization of Cybercafe Internet Service and Costs under Stochastic Demand, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 3, pp.93-100, May-June-2019. Available at doi : https://doi.org/10.32628/IJSRSET1962158
Journal URL : http://ijsrset.com/IJSRSET1962158

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