{"title":"基于雾的智能建筑节能流程框架","authors":"Danish Iqbal, Barbora Buhnova","doi":"10.1145/3463274.3463364","DOIUrl":null,"url":null,"abstract":"The world is facing an energy crisis. The smart building concept is presented by many researchers using IoT devices that do not have sufficient computational power to compute the data to decide about the results. According to an estimation, there will be 50 billion IoT devices in 2020. Most IoT devices send data to the cloud for processing. Latency and network usage will be increased in cloud servers because the cloud servers will not be able to handle millions of requests spontaneously. In this paper, we have proposed a framework that minimizes latency and energy consumption in cloud computing. The proposed framework uses edge computing and most of the processing is performed on fog nodes. The framework contributes significantly to energy saving by supporting behavioral and physical changes in the cloud network.","PeriodicalId":328024,"journal":{"name":"Proceedings of the 25th International Conference on Evaluation and Assessment in Software Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fog Based Energy Efficient Process Framework for Smart Building\",\"authors\":\"Danish Iqbal, Barbora Buhnova\",\"doi\":\"10.1145/3463274.3463364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The world is facing an energy crisis. The smart building concept is presented by many researchers using IoT devices that do not have sufficient computational power to compute the data to decide about the results. According to an estimation, there will be 50 billion IoT devices in 2020. Most IoT devices send data to the cloud for processing. Latency and network usage will be increased in cloud servers because the cloud servers will not be able to handle millions of requests spontaneously. In this paper, we have proposed a framework that minimizes latency and energy consumption in cloud computing. The proposed framework uses edge computing and most of the processing is performed on fog nodes. The framework contributes significantly to energy saving by supporting behavioral and physical changes in the cloud network.\",\"PeriodicalId\":328024,\"journal\":{\"name\":\"Proceedings of the 25th International Conference on Evaluation and Assessment in Software Engineering\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 25th International Conference on Evaluation and Assessment in Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3463274.3463364\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 25th International Conference on Evaluation and Assessment in Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3463274.3463364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fog Based Energy Efficient Process Framework for Smart Building
The world is facing an energy crisis. The smart building concept is presented by many researchers using IoT devices that do not have sufficient computational power to compute the data to decide about the results. According to an estimation, there will be 50 billion IoT devices in 2020. Most IoT devices send data to the cloud for processing. Latency and network usage will be increased in cloud servers because the cloud servers will not be able to handle millions of requests spontaneously. In this paper, we have proposed a framework that minimizes latency and energy consumption in cloud computing. The proposed framework uses edge computing and most of the processing is performed on fog nodes. The framework contributes significantly to energy saving by supporting behavioral and physical changes in the cloud network.