{"title":"Edge Computing for Emerging Markets Addressing African Needs","authors":"Mxolisi Mtshali, S. Dlamini, M. Adigun, P. Mudali","doi":"10.23919/ISTAFRICA.2019.8764842","DOIUrl":null,"url":null,"abstract":"With the pacing of the next industrial revolution and adoption of industrial internet of things. It’s difficult for emerging markets to keep-up with the pacing evolution of technology due to economic reasons of course. However, edge computing has emerged as a promising technology that also caters for emerging markets enabling them to pace up with the evolution of technology. Edge computing is defined as distributed computing paradigm in which computation is largely or completely performed on distributed edge device nodes known as edge computing nodes as opposed to primarily taking place in a centralized cloud environment. This computing paradigm has been adopted mostly to reduce the workload from cloud computing or to provide computing closer to the user in order to improve performance. This paper presents a review of three edge deployment architectures focusing on their impact on emerging markets. Furthermore, present discussion of use cases in emerging markets and their business case. We then provide a framework promising to cater for edge challenges and finally provide simulation results performed on iFogSim as a framework proof of concept. The simulation result shows edge perfoms better than cloud interms of resource use. Therefore, the proposed framework is recommended and reliable for emerging markets use cases. This work only modelled a precision farming use case.","PeriodicalId":420572,"journal":{"name":"2019 IST-Africa Week Conference (IST-Africa)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IST-Africa Week Conference (IST-Africa)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ISTAFRICA.2019.8764842","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the pacing of the next industrial revolution and adoption of industrial internet of things. It’s difficult for emerging markets to keep-up with the pacing evolution of technology due to economic reasons of course. However, edge computing has emerged as a promising technology that also caters for emerging markets enabling them to pace up with the evolution of technology. Edge computing is defined as distributed computing paradigm in which computation is largely or completely performed on distributed edge device nodes known as edge computing nodes as opposed to primarily taking place in a centralized cloud environment. This computing paradigm has been adopted mostly to reduce the workload from cloud computing or to provide computing closer to the user in order to improve performance. This paper presents a review of three edge deployment architectures focusing on their impact on emerging markets. Furthermore, present discussion of use cases in emerging markets and their business case. We then provide a framework promising to cater for edge challenges and finally provide simulation results performed on iFogSim as a framework proof of concept. The simulation result shows edge perfoms better than cloud interms of resource use. Therefore, the proposed framework is recommended and reliable for emerging markets use cases. This work only modelled a precision farming use case.