Y. Liang, Xing Gao, Kun Sun, Wenjie Xiong, Haining Wang
{"title":"基于fpga温度侧通道的数据中心冷却系统研究","authors":"Y. Liang, Xing Gao, Kun Sun, Wenjie Xiong, Haining Wang","doi":"10.1109/SRDS55811.2022.00015","DOIUrl":null,"url":null,"abstract":"As power and cooling cost has become a major factor in the total cost of ownership (TCO) of large-scale data centers, it is important to investigate how data centers run their cooling systems in practice. The data centers of Amazon Web Services (AWS) have been continuously expanding worldwide, and their restrictive security policies keep many management aspects of data centers private. In this paper, we make an attempt to explore the cooling systems of AWS data centers without privileged accesses. We first demonstrate PVT (process, voltage, and temperature) variations in AWS FPGAs (Field Programmable Gate Arrays) using time-digital converters (TDC). We further leverage the DRAM temperature side channel and improve the usage of the TDC to measure the temperature change accurately. We conduct a measurement on the daily temperatures of AWS data centers worldwide and find that temperature changes of some data centers are closely related to local weathers. Thus, we deduce they adopt free cooling techniques. This measurement study motivates us to re-think the vulnerability of data centers to power/thermal attacks.","PeriodicalId":143115,"journal":{"name":"2022 41st International Symposium on Reliable Distributed Systems (SRDS)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Investigation on Data Center Cooling Systems Using FPGA-based Temperature Side Channels\",\"authors\":\"Y. Liang, Xing Gao, Kun Sun, Wenjie Xiong, Haining Wang\",\"doi\":\"10.1109/SRDS55811.2022.00015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As power and cooling cost has become a major factor in the total cost of ownership (TCO) of large-scale data centers, it is important to investigate how data centers run their cooling systems in practice. The data centers of Amazon Web Services (AWS) have been continuously expanding worldwide, and their restrictive security policies keep many management aspects of data centers private. In this paper, we make an attempt to explore the cooling systems of AWS data centers without privileged accesses. We first demonstrate PVT (process, voltage, and temperature) variations in AWS FPGAs (Field Programmable Gate Arrays) using time-digital converters (TDC). We further leverage the DRAM temperature side channel and improve the usage of the TDC to measure the temperature change accurately. We conduct a measurement on the daily temperatures of AWS data centers worldwide and find that temperature changes of some data centers are closely related to local weathers. Thus, we deduce they adopt free cooling techniques. This measurement study motivates us to re-think the vulnerability of data centers to power/thermal attacks.\",\"PeriodicalId\":143115,\"journal\":{\"name\":\"2022 41st International Symposium on Reliable Distributed Systems (SRDS)\",\"volume\":\"159 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 41st International Symposium on Reliable Distributed Systems (SRDS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SRDS55811.2022.00015\",\"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 41st International Symposium on Reliable Distributed Systems (SRDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SRDS55811.2022.00015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
由于电力和冷却成本已成为大型数据中心总拥有成本(TCO)的主要因素,因此研究数据中心在实践中如何运行其冷却系统非常重要。Amazon Web Services (AWS)的数据中心一直在全球范围内不断扩展,其限制性安全策略使数据中心的许多管理方面保持私有。在本文中,我们尝试探索无特权访问的AWS数据中心的冷却系统。我们首先演示了使用时间数字转换器(TDC)的AWS fpga(现场可编程门阵列)中的PVT(过程、电压和温度)变化。我们进一步利用DRAM温度侧通道,提高TDC的使用,以准确测量温度变化。我们对全球AWS数据中心的日温度进行了测量,发现部分数据中心的温度变化与当地天气密切相关。因此,我们推断它们采用了自然冷却技术。这项测量研究促使我们重新思考数据中心对电源/热攻击的脆弱性。
An Investigation on Data Center Cooling Systems Using FPGA-based Temperature Side Channels
As power and cooling cost has become a major factor in the total cost of ownership (TCO) of large-scale data centers, it is important to investigate how data centers run their cooling systems in practice. The data centers of Amazon Web Services (AWS) have been continuously expanding worldwide, and their restrictive security policies keep many management aspects of data centers private. In this paper, we make an attempt to explore the cooling systems of AWS data centers without privileged accesses. We first demonstrate PVT (process, voltage, and temperature) variations in AWS FPGAs (Field Programmable Gate Arrays) using time-digital converters (TDC). We further leverage the DRAM temperature side channel and improve the usage of the TDC to measure the temperature change accurately. We conduct a measurement on the daily temperatures of AWS data centers worldwide and find that temperature changes of some data centers are closely related to local weathers. Thus, we deduce they adopt free cooling techniques. This measurement study motivates us to re-think the vulnerability of data centers to power/thermal attacks.