A Generic High-Performance Architecture for VPN Gateways
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Published:2024-05-23
Issue:11
Volume:13
Page:2031
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ISSN:2079-9292
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Container-title:Electronics
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language:en
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Short-container-title:Electronics
Author:
Fu Chunle1, Wang Bailing1, Wang Wei1, Mu Ruichao1, Sun Yunxiao1, Xin Guodong1, Zhang Yongzheng2
Affiliation:
1. School of Computer Science and Technology, Harbin Institute of Technology, Weihai 264200, China 2. Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China
Abstract
Virtual private network (VPN) gateways are widely applied to provide secure end-to-end remote access and to relay reliable interconnected communication in cloud computing. As network convergence nodes, the performance of VPN gateways is limited by traditional methods of packet receiving and sending, the kernel protocol stack and the virtual network interface card. This paper proposes a generic high-performance architecture (GHPA) for VPN gateways in consideration of its generality and performance. In terms of generality, we redesign a generic VPN core framework by modeling a generic VPN communication model, formulating generic VPN core technologies and presenting corresponding core algorithms. In terms of performance, we propose a three-layer GHPA for VPN gateways by designing a VPN packet processing layer based on a data plane development kit (DPDK), implementing a user space basic protocol stack and applying our proposed generic VPN core framework. On the basis of the research work above, we implement a high-performance VPN (HP-VPN) and a traditional VPN (T-VPN) that complies with GHPA and traditional methods, respectively. Experimental results prove that the performance of HP-VPN based on GHPA is superior to T-VPN and other common VPNs in RTT, system throughput, packet forwarding rate and jitter. In addition, GHPA is extensible and applicable for other VPN gateways to improve their performance.
Funder
National Key R&D Program of China National Natural Science Foundation of China Key Research and Development Program of Shandong Province
Reference34 articles.
1. Nouhas, H., Belangour, A., and Nassar, M. (2023, January 16). Cloud and Edge Computing Architectures: A Survey. Proceedings of the 2023 IEEE 11th Conference on Systems, Process & Control (ICSPC), Malacca, Malaysia. 2. Muniswamaiah, M., Agerwala, T., and Tappert, C.C. (2021, January 26–28). A Survey on Cloudlets, Mobile Edge, and Fog Computing. Proceedings of the 2021 8th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud), Washington, DC, USA. 3. A Survey on Vehicular Cloud Network Security;Deng;IEEE Access,2023 4. Chavan, J., Patil, R., Patil, S., Gutte, V., and Karande, S. (2022, January 25–27). A Survey on Security Threats in Cloud Computing Service Models. Proceedings of the 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India. 5. Kavitha, T., Hemalatha, S., Saravanan, T.M., Singh, A.K., Alam, M.I., and Warshi, S. (2022, January 25–27). Survey on Cloud Computing Security and Scheduling. Proceedings of the 2022 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India.
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