Songtao Fu, Qi Li, Xiaoliang Wang, Su Yao, Xuewei Feng, Ziqiang Wang, Xinle Du, Kao Wan, Ke Xu
{"title":"D3: Lightweight Secure Fault Localization in Edge Cloud","authors":"Songtao Fu, Qi Li, Xiaoliang Wang, Su Yao, Xuewei Feng, Ziqiang Wang, Xinle Du, Kao Wan, Ke Xu","doi":"10.1109/ICDCS54860.2022.00056","DOIUrl":null,"url":null,"abstract":"In pursuit of high-performance applications, the cloud is moving out of the data center and towards the edge. Secure data forwarding is critical for the users between the edge and the remote cloud. In this paper, we propose D3 (Demon Detector in Data Plane), a lightweight, secure fault localization mechanism, which can enable the users in the edge cloud to localize faulty links and thus avoid the faulty links to guarantee secure data forwarding along the path to the remote cloud. D3 utilizes the user to instruct the transit routers, thus empowering the user to detect whether the transit routers forward the packet as expected. Compared with existing schemes that are difficult to be deployed in practice due to the incurred heavy storage, computation, and communication overhead, D3 offloads most of the transit router’s storage and computation overhead, thus dramatically improving the deployment efficiency. Particularly, the length of the additional packet header in D3 is 2-5 times less than the state-of-the-art mechanisms, and the extra control packet overhead is ten times less while keeping a little constant storage overhead in the data plane. The evaluations in BMv2 and Barefoot Tofino hardware show that D3 could achieve high fault localization accuracy and efficiency.","PeriodicalId":225883,"journal":{"name":"2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCS54860.2022.00056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In pursuit of high-performance applications, the cloud is moving out of the data center and towards the edge. Secure data forwarding is critical for the users between the edge and the remote cloud. In this paper, we propose D3 (Demon Detector in Data Plane), a lightweight, secure fault localization mechanism, which can enable the users in the edge cloud to localize faulty links and thus avoid the faulty links to guarantee secure data forwarding along the path to the remote cloud. D3 utilizes the user to instruct the transit routers, thus empowering the user to detect whether the transit routers forward the packet as expected. Compared with existing schemes that are difficult to be deployed in practice due to the incurred heavy storage, computation, and communication overhead, D3 offloads most of the transit router’s storage and computation overhead, thus dramatically improving the deployment efficiency. Particularly, the length of the additional packet header in D3 is 2-5 times less than the state-of-the-art mechanisms, and the extra control packet overhead is ten times less while keeping a little constant storage overhead in the data plane. The evaluations in BMv2 and Barefoot Tofino hardware show that D3 could achieve high fault localization accuracy and efficiency.
为了追求高性能应用程序,云正在从数据中心向边缘移动。安全的数据转发对于边缘云和远程云之间的用户来说至关重要。本文提出了一种轻量级、安全的故障定位机制D3 (Demon Detector In Data Plane),它可以使边缘云中的用户定位故障链路,从而避免故障链路,保证数据沿路径安全转发到远程云。D3利用用户指令传输路由器,从而授权用户检测传输路由器是否按预期转发数据包。现有方案由于存储、计算和通信开销大而难以在实际中部署,相比之下,D3减轻了大部分传输路由器的存储和计算开销,极大地提高了部署效率。特别是,D3中额外的数据包头的长度比最先进的机制少2-5倍,额外的控制数据包开销减少了10倍,同时在数据平面中保持了一点恒定的存储开销。在BMv2和Barefoot Tofino硬件上的评价表明,D3能达到较高的故障定位精度和效率。