Prajak Chertchom, S. Tanimoto, T. Konosu, M. Iwashita, Toru Kobayashi, Hiroyuki Sato, Atsushi Kanai
{"title":"Edge Computing Platform Management: Design for F2C and F2F for Small Businesses to Reduce Costs","authors":"Prajak Chertchom, S. Tanimoto, T. Konosu, M. Iwashita, Toru Kobayashi, Hiroyuki Sato, Atsushi Kanai","doi":"10.1109/IIAI-AAI.2019.00180","DOIUrl":null,"url":null,"abstract":"With a focus on edge computing and the cloud, IoT and connected devices require both edge computing platform management for real-time decisions and cloud computing for optimization. From a business's perspective, this requires further investments in keeping devices updated. Big players in edge computing have proposed new devices and concepts for industries, resulting in the likelihood of increasingly expensive devices going forward. However, small businesses and factories cannot afford such investments. Thus, this paper proposes a simple and low-cost implementation of an edge computing platform for small businesses to automate their business in real time. Furthermore, having the perspective of historical performance enables real-time optimization of the entire business process.","PeriodicalId":136474,"journal":{"name":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2019.00180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
With a focus on edge computing and the cloud, IoT and connected devices require both edge computing platform management for real-time decisions and cloud computing for optimization. From a business's perspective, this requires further investments in keeping devices updated. Big players in edge computing have proposed new devices and concepts for industries, resulting in the likelihood of increasingly expensive devices going forward. However, small businesses and factories cannot afford such investments. Thus, this paper proposes a simple and low-cost implementation of an edge computing platform for small businesses to automate their business in real time. Furthermore, having the perspective of historical performance enables real-time optimization of the entire business process.