{"title":"摘要:面向社会传感应用的实时异构边缘计算系统","authors":"D. Zhang, Nathan Vance, Dong Wang","doi":"10.1109/RTAS.2018.00019","DOIUrl":null,"url":null,"abstract":"In this demo, we present a Social Sensing Edge Computing (SSEC) system that supports real-time task allocation on non-cooperative and heterogeneous edge devices. We evaluate the system on two real-time social sensing applications and demonstrate the energy savings as well as the Quality of Service (QoS) of the SSEC system. The demonstrated framework complements the traditional centralized social sensing solutions by providing a more scalable and responsive computation paradigm.","PeriodicalId":164981,"journal":{"name":"2018 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Demo Abstract: Real-Time Heterogeneous Edge Computing System for Social Sensing Applications\",\"authors\":\"D. Zhang, Nathan Vance, Dong Wang\",\"doi\":\"10.1109/RTAS.2018.00019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this demo, we present a Social Sensing Edge Computing (SSEC) system that supports real-time task allocation on non-cooperative and heterogeneous edge devices. We evaluate the system on two real-time social sensing applications and demonstrate the energy savings as well as the Quality of Service (QoS) of the SSEC system. The demonstrated framework complements the traditional centralized social sensing solutions by providing a more scalable and responsive computation paradigm.\",\"PeriodicalId\":164981,\"journal\":{\"name\":\"2018 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTAS.2018.00019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTAS.2018.00019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Demo Abstract: Real-Time Heterogeneous Edge Computing System for Social Sensing Applications
In this demo, we present a Social Sensing Edge Computing (SSEC) system that supports real-time task allocation on non-cooperative and heterogeneous edge devices. We evaluate the system on two real-time social sensing applications and demonstrate the energy savings as well as the Quality of Service (QoS) of the SSEC system. The demonstrated framework complements the traditional centralized social sensing solutions by providing a more scalable and responsive computation paradigm.