SGXGauge:针对Intel SGX的综合基准测试套件

2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) Pub Date : 2022-05-01 DOI:10.1109/ISPASS55109.2022.00014

Sandeep Kumar, Abhisek Panda, S. Sarangi

{"title":"SGXGauge:针对Intel SGX的综合基准测试套件","authors":"Sandeep Kumar, Abhisek Panda, S. Sarangi","doi":"10.1109/ISPASS55109.2022.00014","DOIUrl":null,"url":null,"abstract":"Trusted execution environments (TEEs) such as Intel SGX facilitate the secure execution of an application on untrusted machines. A plethora of work focuses on improving the performance of such environments necessitating the need for a standard, widely accepted benchmark suite. We present SGXGauge, a benchmark suite for SGX containing a diverse set of workloads from different domains. We also thoroughly characterize the behavior of the benchmark suite on a native platform and on a platform that uses a library OS-based shim layer (GrapheneSGX).","PeriodicalId":115391,"journal":{"name":"2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"SGXGauge: A Comprehensive Benchmark Suite for Intel SGX\",\"authors\":\"Sandeep Kumar, Abhisek Panda, S. Sarangi\",\"doi\":\"10.1109/ISPASS55109.2022.00014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Trusted execution environments (TEEs) such as Intel SGX facilitate the secure execution of an application on untrusted machines. A plethora of work focuses on improving the performance of such environments necessitating the need for a standard, widely accepted benchmark suite. We present SGXGauge, a benchmark suite for SGX containing a diverse set of workloads from different domains. We also thoroughly characterize the behavior of the benchmark suite on a native platform and on a platform that uses a library OS-based shim layer (GrapheneSGX).\",\"PeriodicalId\":115391,\"journal\":{\"name\":\"2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPASS55109.2022.00014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPASS55109.2022.00014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

受信任的执行环境(tee)，如Intel SGX，有助于在不受信任的机器上安全执行应用程序。大量的工作集中在改进这种环境的性能上，因此需要一个标准的、被广泛接受的基准测试套件。我们介绍SGXGauge，这是SGX的基准测试套件，包含来自不同领域的各种工作负载。我们还全面描述了基准测试套件在本地平台和使用基于库os的shim层(GrapheneSGX)的平台上的行为。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

SGXGauge: A Comprehensive Benchmark Suite for Intel SGX

Trusted execution environments (TEEs) such as Intel SGX facilitate the secure execution of an application on untrusted machines. A plethora of work focuses on improving the performance of such environments necessitating the need for a standard, widely accepted benchmark suite. We present SGXGauge, a benchmark suite for SGX containing a diverse set of workloads from different domains. We also thoroughly characterize the behavior of the benchmark suite on a native platform and on a platform that uses a library OS-based shim layer (GrapheneSGX).

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)

自引率

0.00%

发文量