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SGX-Bundler: speeding up enclave transitions for IO-intensive applications
KTH, School of Electrical Engineering and Computer Science (EECS).
Lund Univ, Lund, Sweden.;CanaryBit AB, Lund, Sweden..
RISE Res Inst Sweden, Lund, Sweden..
2022 (English)In: Proceedings - 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2022 / [ed] Fazio, M Panda, DK Prodan, R Cardellini, V Kantarci, B Rana, O Villari, M, Institute of Electrical and Electronics Engineers (IEEE) , 2022, p. 269-278Conference paper, Published paper (Refereed)
Abstract [en]

Process-based confidential computing enclaves such as Intel SGX can be used to protect the confidentiality and integrity of workloads, without the overhead of virtualisation. However, they introduce a notable performance overhead, especially when it comes to transitions in and out of the enclave context. Such overhead makes the use of enclaves impractical for running IO-intensive applications, such as network packet processing or biological sequence analysis. We build on earlier approaches to improve the IO performance of work-loads in Intel SGX enclaves and propose the SGX-Bundler library, which helps reduce the cost of both individual single enclave transitions well as of the total number of enclave transitions in trusted applications running in Intel SGX enclaves. We describe the implementation of the SGX-Bundler library, evaluate its performance and demonstrate its practicality using the case study of Open vSwitch, a widely used software switch implementation.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. p. 269-278
Keywords [en]
SGX, Hardware security, Open vSwitch, Performance optimization
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-319436DOI: 10.1109/CCGrid54584.2022.00036ISI: 000855065800028Scopus ID: 2-s2.0-85135761247OAI: oai:DiVA.org:kth-319436DiVA, id: diva2:1699941
Conference
22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), May 16-19, 2022, Messina, Italy
Note

QC 20220929

Part of proceedings: ISBN 978-1-6654-9956-9

Available from: 2022-09-29 Created: 2022-09-29 Last updated: 2022-09-29Bibliographically approved

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Svenningsson, Jakob

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Citation style
  • apa
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