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

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 nonpreemptive 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.

Performance modelling and analysis of Internet of Things enabled healthcare monitoring systems

“…Other works in the literature are focused in modelling healthcare monitoring systems. For example, Akingbesote et al [18] modelled GUISET mobile healthcare middleware and evaluated the performance of mobile healthcare device requests based on the waiting time using the non-priority and the nonpreemptive priority service disciplines. The objective of this study was on the integration of GUISET with AMC technology to reduce the costs associated with the services provisioning to maintaining data availability even when connectivity to the central data repository is rampant.…”

“…However, the authors did not use the fog layer for sensitive delay applications. Akingbesote et al [18] Modelled GUISET mobile healthcare middleware and evaluated the performance of mobile healthcare device requests based on the waiting time using the non-priority and the non-preemptive priority service disciplines.…”

Approaches to Addressing Service Selection Ties in Ad Hoc Mobile Cloud Computing

“…It is an advancement on the previous GUISET project through the incorporation of this infrastructure less (ad hoc model) platform into the system [14][15][16][17]. e goal of this incorporation is to enable the developed platform to be able to render services to mobile devices especially in the context of m-Health, m-Learning, and m-Commerce.…”

“…Several works have been done which ranges from GUI-SET's implementation [18][19][20] to its performance evaluation [17,21,22] and security [15,16,23] as well as the Pricing strategy to be used on the platform [14]. However, little research has been conducted in relation to providing an optimally satisfactory service especially in the newly integrated ad hoc model system.…”

Optimal service selection in Ad-Hoc mobile market based on multi-dynamic decision algorithms

“…While GUISET project has achieved a great success in the implementation [9]- [12], performance [13], pricing strategy [14] and Security [15] in mobile cloud computing in the context of infrastructure service, little has been done in the 978-1-4799-9907-1/15/$31.00 ©2015 IEEE infrastructure less service provisioning like ad-hoc mobile especially service selection. Most scholars have developed different selection mechanisms considering only consumer's quality of service in ad-hoc mobile market.…”