{"title":"Diggi:一个安全的框架,以最小的信任托管本地云功能","authors":"A. Gjerdrum, H. Johansen, L. Brenna, D. Johansen","doi":"10.1109/TPS-ISA48467.2019.00012","DOIUrl":null,"url":null,"abstract":"The emerging serverless cloud paradigm, also known as Function as a Service (FaaS), enables auto-scalable cloud services on-demand, but requires complete trust in the surrounding infrastructure. Workloads hosting sensitive data, such as medical records or financial transactions, may not be able to use such cloud services due to these trust assumptions. This paper introduces Diggi, a native secure FaaS runtime for scalable function deployment requiring minimal trust in the underlying hardware/software stack. We demonstrate that Diggi is practical and that it holds comparable performance to conventional FaaS software.","PeriodicalId":129820,"journal":{"name":"2019 First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Diggi: A Secure Framework for Hosting Native Cloud Functions with Minimal Trust\",\"authors\":\"A. Gjerdrum, H. Johansen, L. Brenna, D. Johansen\",\"doi\":\"10.1109/TPS-ISA48467.2019.00012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The emerging serverless cloud paradigm, also known as Function as a Service (FaaS), enables auto-scalable cloud services on-demand, but requires complete trust in the surrounding infrastructure. Workloads hosting sensitive data, such as medical records or financial transactions, may not be able to use such cloud services due to these trust assumptions. This paper introduces Diggi, a native secure FaaS runtime for scalable function deployment requiring minimal trust in the underlying hardware/software stack. We demonstrate that Diggi is practical and that it holds comparable performance to conventional FaaS software.\",\"PeriodicalId\":129820,\"journal\":{\"name\":\"2019 First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TPS-ISA48467.2019.00012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TPS-ISA48467.2019.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Diggi: A Secure Framework for Hosting Native Cloud Functions with Minimal Trust
The emerging serverless cloud paradigm, also known as Function as a Service (FaaS), enables auto-scalable cloud services on-demand, but requires complete trust in the surrounding infrastructure. Workloads hosting sensitive data, such as medical records or financial transactions, may not be able to use such cloud services due to these trust assumptions. This paper introduces Diggi, a native secure FaaS runtime for scalable function deployment requiring minimal trust in the underlying hardware/software stack. We demonstrate that Diggi is practical and that it holds comparable performance to conventional FaaS software.