Cyber-healthcare for public healthcare in the developing world

Mandava, M.; Lubamba, Claude; Ismail, Anis; Bagula, Antoine; Bagula, Herman

doi:10.1109/iscc.2016.7543707

Cited by 25 publications

(13 citation statements)

References 5 publications

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“…Of particular concern are those of: i.) good health and well being (through collaborative healthcare [1], [40]); ii. )industry, innovation and infrastructure (through scientific research and high performance computing such as Cloud computing); and iii.)…”

Section: A Potential Use Casementioning

confidence: 99%

“…A number of such collaborative efforts for development of various aspects of Africa include: regional economic communities, such as the Economic Community of West African States (ECOWAS) and Southern African Development Community (SADC), for economic and political developments [7]; research and education networks such as the West and Central African Research and Educational Network (WACREN) and UbuntuNet, for education [39] and communication networks such as the Eastern Africa Submarine Cable System (ESSAy) and Melting Pot Indian-oceanic Submarine System (METISS) [19]. Besides these efforts, researchers have also proposed numerous frameworks for collaboration and resource sharing in Africa, such as those in the works of [1], [40], [41], [46]. Despite these proposals, only a few have focused on the underlying network architecture required to support such inter-continental collabo-rations.…”

Section: Introductionmentioning

confidence: 99%

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Africa 3: A Continental Network Model to Enable the African Fourth Industrial Revolution

2020

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It is widely recognised that collaboration can help fast-track the development of countries in Africa. Leveraging on the fourth industrial revolution, Africa can achieve accelerated development in health care services, educational systems and socioeconomic infrastructures. While a number of conceptual frameworks have been proposed for the African continent, many have discounted the Cloud infrastructure used for data storage and processing as well as the underlying network infrastructure upon which such frameworks would be built. This work therefore presents a continental network model for interconnecting nations in Africa through its data centres. The proposed model is based on a multilayer network engineering approach, which first groups African countries into clusters of data centers using a hybrid combination of clustering techniques; then utilizes Ant Colony Optimisation with Stench Pheromone, that is modified to support variable evaporation rates, to find ideal network path(s) across the clusters and the continent as a whole. The proposed model takes into consideration the geo-spatial location, population sizes, data centre counts and intercontinental submarine cable landings of each African country, when clustering and routing. For bench-marking purposes, the path selection algorithm was tested on both the obtained clusters and African Union's regional clusters.

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Section: A Potential Use Casementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Africa 3: A Continental Network Model to Enable the African Fourth Industrial Revolution

2020

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“…From obtained results, the authors showed that their HL7 based model was able to transmit significantly more records, with minimal overhead impact when compared with the alternatives. The works above could be applied in the implementation of healthcare kiosks in developing countries as suggested in [28,29]. In the work done by Shimizu et al [27], the authors presented medical use cases of combining the Asia-Pacific Research and Education Network (REN) with a Digital Video Transport System (DVTS).…”

Section: Related Workmentioning

confidence: 99%

Fourth Industrial Revolution for Development: The Relevance of Cloud Federation in Healthcare Support

Ajayi

Bagula

2019

IEEE Access

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Inefficient healthcare is a major concern among many African nations and can be mitigated by building world-class infrastructure connecting different medical facilities for collaboration and resource sharing. Such infrastructure should support the collection and exchange of medical data among healthcare practitioners for the purpose of accessing expertise not available locally. It should be equipped with the most recent technologies of the fourth Industrial Revolution (4IR), providing decision support to doctors thereby enabling African nations leapfrog from poorly equipped to medically prepared countries. Sadly, world-class healthcare infrastructure are a missing piece in the African public health ecosystem. Medical facilities are either non-existent or prohibitively expensive when they exist. Federated cloud computing can provide a solution to this challenge. Being a model that allows collaboration between multiple Cloud Service Providers (CSPs) by pooling computing resources together with the aim of meeting specific business or technological need; it allows for the execution of tasks on computing resources in a flexible and cost efficient manner. This paper aims to connect unconnected medical facilities in Africa by proposing a cloud federation for healthcare using co-operative and competitive collaboration models. Simulations were carried out to test the efficacy of these models using five different workload allocation schemes: First-Fit-Descending (FFD), Best-Fit-Descending (BFD) and Binary-Search-Best-Fit (BSBF); Genetic Algorithm meta-heuristic and the Stable Roommate Allocation (SRA) economic model for both light and heavy workloads. Results of simulations revealed that the co-operative cloud federation model resulted in lower allocation delays but higher resource utilisation; while the competitive model provided faster service delivery and better Quality of service (QoS) adherence. It also showed that BSBF and BFD gave the best resources utilisation and energy conservation, while FFD was the fastest overall. Finally, deployment considerations and potential business models for the federated cloud for healthcare in Africa were presented.

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“…As proposed in this paper, the IoT-based fog computing framework is aimed to complement the works done in [7,8,9,10]. Our expectation is to improve the robustness of the underlying IoT networks and safeguard these networks against nodes failures as well as extend the terminal nodes’ life span.…”

Section: Introductionmentioning

confidence: 99%

An IoT-Based Fog Computing Model

Bagula

Nyirenda

et al. 2019

Sensors

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The internet of things (IoT) and cloud computing are two technologies which have recently changed both the academia and industry and impacted our daily lives in different ways. However, despite their impact, both technologies have their shortcomings. Though being cheap and convenient, cloud services consume a huge amount of network bandwidth. Furthermore, the physical distance between data source(s) and the data centre makes delays a frequent problem in cloud computing infrastructures. Fog computing has been proposed as a distributed service computing model that provides a solution to these limitations. It is based on a para-virtualized architecture that fully utilizes the computing functions of terminal devices and the advantages of local proximity processing. This paper proposes a multi-layer IoT-based fog computing model called IoT-FCM, which uses a genetic algorithm for resource allocation between the terminal layer and fog layer and a multi-sink version of the least interference beaconing protocol (LIBP) called least interference multi-sink protocol (LIMP) to enhance the fault-tolerance/robustness and reduce energy consumption of a terminal layer. Simulation results show that compared to the popular max–min and fog-oriented max–min, IoT-FCM performs better by reducing the distance between terminals and fog nodes by at least 38% and reducing energy consumed by an average of 150 KWh while being at par with the other algorithms in terms of delay for high number of tasks.

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Cyber-healthcare for public healthcare in the developing world

Cited by 25 publications

References 5 publications

Africa 3: A Continental Network Model to Enable the African Fourth Industrial Revolution

Africa 3: A Continental Network Model to Enable the African Fourth Industrial Revolution

Fourth Industrial Revolution for Development: The Relevance of Cloud Federation in Healthcare Support

An IoT-Based Fog Computing Model

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