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Performance Modeling of Proposed GUISET Middleware for Mobile Healthcare Services in E-Marketplaces

Author

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  • Alaba Olu Akingbesote
  • Mathew Olusegun Adigun
  • Sibisuso Xulu
  • Edgar Jembere

Abstract

GUISET is a proposed middleware engine currently under study in South Africa. The goal is to provide utility services for small, medium, and macroenterprises in the context of mobile e-services. Three things are important to make this engine effective and efficient: the implementation, performance, and the pricing strategy. The literature has delved richly into implementation issue of similar projects. Both the performance and the pricing strategy issues have not been fully discussed especially in the context of mobile healthcare services. Some literature has addressed the performance issue using the exogenous nonpriority and the preemptive model. However, with providers offering different services using that approach may prove to be difficult to implement. This work extends existing and widely adopted theories to non-preemptive model by using the queuing theory and the simulation model in the context of mobile healthcare services. Our evaluation is based on non-preemptive priority and nonpriority discipline. Our results reveal that the unconditional average waiting time remains the same with reduction in waiting time over the non-preemptive priority model in four out of the five classes observed. This is envisaged to be beneficial in mobile healthcare services where events are prioritized and urgent attention is needed to be given to urgent events.

Suggested Citation

  • Alaba Olu Akingbesote & Mathew Olusegun Adigun & Sibisuso Xulu & Edgar Jembere, 2014. "Performance Modeling of Proposed GUISET Middleware for Mobile Healthcare Services in E-Marketplaces," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-9, November.
  • Handle: RePEc:hin:jnljam:248293
    DOI: 10.1155/2014/248293
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    Cited by:

    1. Chia-chi Sun & Shih-chi Chang, 2021. "An Examination of the Catalyst for Tapping into Mobile Financial Services in the Post-COVID-19 World," Mathematics, MDPI, vol. 9(16), pages 1-19, August.

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