{"title":"通过过滤器流模型将边缘的物联网应用映射到云连续体","authors":"Shuangsheng Lou, G. Agrawal","doi":"10.1109/ICFEC51620.2021.00016","DOIUrl":null,"url":null,"abstract":"In the context of developing streaming applications for IoT (or Edge Computing) environments, this paper presents a framework for automated deployment with an emphasis on optimizing latency in the presence of resource constraints. A dynamic programming based deployment algorithm is developed to make deployment decisions. With battery power being a key constraint, a major component of our work is a power model to help assess the power consumption of the edge devices at the runtime. Using three applications, we show the large reductions in both power consumption and response latency with our framework, as compared to a baseline involving cloud-only execution.","PeriodicalId":436220,"journal":{"name":"2021 IEEE 5th International Conference on Fog and Edge Computing (ICFEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping IoT Applications on the Edge to Cloud Continuum with a Filter Stream Model\",\"authors\":\"Shuangsheng Lou, G. Agrawal\",\"doi\":\"10.1109/ICFEC51620.2021.00016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the context of developing streaming applications for IoT (or Edge Computing) environments, this paper presents a framework for automated deployment with an emphasis on optimizing latency in the presence of resource constraints. A dynamic programming based deployment algorithm is developed to make deployment decisions. With battery power being a key constraint, a major component of our work is a power model to help assess the power consumption of the edge devices at the runtime. Using three applications, we show the large reductions in both power consumption and response latency with our framework, as compared to a baseline involving cloud-only execution.\",\"PeriodicalId\":436220,\"journal\":{\"name\":\"2021 IEEE 5th International Conference on Fog and Edge Computing (ICFEC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 5th International Conference on Fog and Edge Computing (ICFEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICFEC51620.2021.00016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 5th International Conference on Fog and Edge Computing (ICFEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFEC51620.2021.00016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mapping IoT Applications on the Edge to Cloud Continuum with a Filter Stream Model
In the context of developing streaming applications for IoT (or Edge Computing) environments, this paper presents a framework for automated deployment with an emphasis on optimizing latency in the presence of resource constraints. A dynamic programming based deployment algorithm is developed to make deployment decisions. With battery power being a key constraint, a major component of our work is a power model to help assess the power consumption of the edge devices at the runtime. Using three applications, we show the large reductions in both power consumption and response latency with our framework, as compared to a baseline involving cloud-only execution.