Evaluating Encryption Overhead and Offload Techniques in High-Speed Data Transfers

The increasing demand for secure, high-speed data transfers in scientific and data-intensive applications presents a major challenge due to the significant processing overhead introduced by encryption. This paper evaluates the performance impact of encryption on GridFTP data transfers over a 100 Gbps link, focusing on throughput degradation, CPU utilization, and fairness in both encrypted and non-encrypted traffic scenarios. The experiments presented in this paper examine the influence of propagation delays and TCP Congestion Control Algorithms (CCAs), revealing that software-based encryption imposes severe CPU bottlenecks that limit scalability and link utilization. To address these limitations, this paper explores acceleration techniques that include CPU-based methods, such as Intel AES-NI, and hardware-assisted solutions, such as SmartNIC offloading. Results show that SmartNICs maximize throughput, achieving higher scalability compared to traditional approaches.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1109/blackseacom65655.2025.11193901
Citations
1
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
1.49
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article

Evaluating Encryption Overhead and Offload Techniques in High-Speed Data Transfers

Elie Kfoury, Jose Gomez, Jorge Crichigno, Ali AlSabeh et al.
1 citations
Advanced Data Storage Technologies
1.49
article

Evaluating Encryption Overhead and Offload Techniques in High-Speed Data Transfers

Elie Kfoury, Jose Gomez, Jorge Crichigno, Ali AlSabeh, Ali Mazloum
article en
1 citations

Abstract

The increasing demand for secure, high-speed data transfers in scientific and data-intensive applications presents a major challenge due to the significant processing overhead introduced by encryption. This paper evaluates the performance impact of encryption on GridFTP data transfers over a 100 Gbps link, focusing on throughput degradation, CPU utilization, and fairness in both encrypted and non-encrypted traffic scenarios. The experiments presented in this paper examine the influence of propagation delays and TCP Congestion Control Algorithms (CCAs), revealing that software-based encryption imposes severe CPU bottlenecks that limit scalability and link utilization. To address these limitations, this paper explores acceleration techniques that include CPU-based methods, such as Intel AES-NI, and hardware-assisted solutions, such as SmartNIC offloading. Results show that SmartNICs maximize throughput, achieving higher scalability compared to traditional approaches.

Fort Lewis College (US), University of South Carolina (US), Computing Center (RU), University of South Carolina Aiken (US)
Openalex Percentile: Top 12%
Advanced Data Storage Technologies
1.49
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