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

• Published in: IEEE access Vol. 8; pp. 196847 - 196864
• Main Authors: Ajayi, Olasupo O., Bagula, Antoine B., Maluleke, Hloniphani C.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Africa; Algorithms; Ant colony optimization; Clustering; Clustering algorithms; Collaboration; communication networks; computer networks; Data centers; Data storage; Education; Evaporation rate; Infrastructure; Multilayers; Routing; Submarine cables; Africa
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.3034144

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 socio-economic 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.