Skip to main content

Optimized Memory Encryption for VMs Across Multiple Hosts

  • Conference paper
  • First Online:
Advances in Intelligent Networking and Collaborative Systems (INCoS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 312))

Abstract

Recently, virtual machines (VMs) with a large amount of memory are widely used. It is often not easy to migrate such a large-memory VM because VM migration requires one large destination host. To address this issue, split migration divides the memory of a VM into small pieces and transfers them to multiple destination hosts. The migrated VM exchanges its memory data between the hosts using remote paging. To prevent information leakage from the memory data in an untrusted environment, memory encryption can be used. However, encryption overhead largely affects the performance of the hosts and the VM. This paper proposes SEmigrate for optimizing the memory encryption in split migration and remote paging. SEmigrate avoids decrypting memory data at most of the destination hosts to reduce the overhead and completely prevent information leakage. Also, it selectively encrypts only the memory data containing sensitive information by analyzing the memory of the guest operating system in a VM. SEmigrate could reduce the CPU utilization during encrypted split migration by 6–20% point and improve the performance of the migrated VM with encrypted remote paging to 1.9\(\times \).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Amazon Web Services Inc: Amazon EC2 High Memory Instances (2019). https://aws.amazon.com/ec2/instance-types/high-memory/

  2. Chiang, J., Li, H., Chiueh, T.: Introspection-based memory de-duplication and migration. In: Proceedings of ACM International Conference Virtual Execution Environments, pp. 51–62 (2013)

    Google Scholar 

  3. Garfinkel, T., Rosenblum, M.: A virtual machine introspection based architecture for intrusion detection. In: Proceedings of Network and Distributed Systems Security Symposium, pp. 191–206 (2003)

    Google Scholar 

  4. Li, C., Raghunathan, A., Jha, N.: A trusted virtual machine in an untrusted management environment. IEEE Trans. Serv. Comput. 5(4), 472–483 (2012)

    Article  Google Scholar 

  5. Ozaki, Y., Kanamoto, S., Yamamoto, H., Kourai, K.: Detecting system failures with GPUs and LLVM. In: Proceedings of the 10th ACM SIGOPS Asia-Pacific Workshop on Systems, pp. 47–53 (2019)

    Google Scholar 

  6. Rai, A., Ramjee, R., Anand, A., Padmanabhan, V., Varghese, G.: MiG: efficient migration of desktop VMs using semantic compression. In: Proceedings of USENIX Annual Technical Conference, pp. 25–36 (2013)

    Google Scholar 

  7. Suetake, M., Kashiwagi, T., Kizu, H., Kourai, K.: S-memV: split migration of large-memory virtual machines in IaaS clouds. In: Proceedings of IEEE International Conference Cloud Computing, pp. 285–293 (2018)

    Google Scholar 

  8. Tadokoro, H., Kourai, K., Chiba, S.: Preventing information leakage from virtual machines’ memory in IaaS clouds. IPSJ Online Trans. 5, 156–166 (2012)

    Article  Google Scholar 

  9. Wang, C., Hao, Z., Cui, L., Zhang, X., Yun, X.: Introspection-based memory pruning for live VM migration. Int. J. Parallel Program. 45(6), 1298–1309 (2017)

    Article  Google Scholar 

  10. Zhang, F., Chen, J., Chen, H., Zang, B.: CloudVisor: retrofitting protection of virtual machines in multi-tenant cloud with nested virtualization. In: Proceedings of ACM Symposium Operating Systems Principles, pp. 203–216 (2011)

    Google Scholar 

Download references

Acknowledgements

The research results have been achieved by the “Resilient Edge Cloud Designed Network (19304),” the Commissioned Research of National Institute of Information and Communications Technology (NICT), Japan.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shuhei Horio .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Horio, S., Takahashi, K., Kourai, K., Rahim, L.A. (2022). Optimized Memory Encryption for VMs Across Multiple Hosts. In: Barolli, L., Chen, HC., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2021. Lecture Notes in Networks and Systems, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-030-84910-8_32

Download citation

Publish with us

Policies and ethics