{"title":"物联网中的边缘计算:建模和性能分析的初步结果","authors":"Julius Skirelis, D. Navakauskas","doi":"10.1109/AIEEE.2017.8270555","DOIUrl":null,"url":null,"abstract":"Edge computing, the subsidiary model of Cloud computing, is aiming to push computational resources closer to the edge of network. Its objectives are to improve network latency and ensure efficiency of performed tasks. However Internet of Things (IoT) devices usually are of limited processing power or/and connecting to network episodically, mostly due to power saving necessity and mobility. Thus in the paper investigation of the performance of edge computing for IoT is presented. Multiple simulations by EdgeNetworkCloudSim of different topologies, their parameters, together with considered IoT device primary limitations, are carried out. Simulation results confirm the specificity of edge computations for IoT and gives some practical insights.","PeriodicalId":224275,"journal":{"name":"2017 5th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Edge computing in IoT: Preliminary results on modeling and performance analysis\",\"authors\":\"Julius Skirelis, D. Navakauskas\",\"doi\":\"10.1109/AIEEE.2017.8270555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Edge computing, the subsidiary model of Cloud computing, is aiming to push computational resources closer to the edge of network. Its objectives are to improve network latency and ensure efficiency of performed tasks. However Internet of Things (IoT) devices usually are of limited processing power or/and connecting to network episodically, mostly due to power saving necessity and mobility. Thus in the paper investigation of the performance of edge computing for IoT is presented. Multiple simulations by EdgeNetworkCloudSim of different topologies, their parameters, together with considered IoT device primary limitations, are carried out. Simulation results confirm the specificity of edge computations for IoT and gives some practical insights.\",\"PeriodicalId\":224275,\"journal\":{\"name\":\"2017 5th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 5th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIEEE.2017.8270555\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 5th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIEEE.2017.8270555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Edge computing in IoT: Preliminary results on modeling and performance analysis
Edge computing, the subsidiary model of Cloud computing, is aiming to push computational resources closer to the edge of network. Its objectives are to improve network latency and ensure efficiency of performed tasks. However Internet of Things (IoT) devices usually are of limited processing power or/and connecting to network episodically, mostly due to power saving necessity and mobility. Thus in the paper investigation of the performance of edge computing for IoT is presented. Multiple simulations by EdgeNetworkCloudSim of different topologies, their parameters, together with considered IoT device primary limitations, are carried out. Simulation results confirm the specificity of edge computations for IoT and gives some practical insights.