海伯利安基于硬件的集装箱网络高性能安全系统

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Cloud Computing Pub Date : 2024-03-20 DOI:10.1109/TCC.2024.3403175
Myoungsung You;Minjae Seo;Jaehan Kim;Seungwon Shin;Jaehyun Nam
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引用次数: 0

摘要

容器已成为在云环境中部署微服务的主要虚拟化技术。然而,对微服务功能至关重要的容器网络往往会带来巨大的开销和资源消耗,从而可能降低微服务的性能。这一挑战源于基于软件的网络数据平面的复杂性,它负责容器流量中的网络虚拟化和访问控制。为了应对这一挑战,我们提出了基于硬件的新型容器网络系统 Hyperion,该系统优先考虑高性能和安全性。利用云环境中常见的智能网卡,Hyperion 实现了全功能的容器网络数据平面,包括网络虚拟化和访问控制。它还能动态优化数据平面,以灵活应对容器环境的频繁变化,确保数据平面的最新运行状态。这种基于硬件的设计使 Hyperion 能够在不依赖主机系统资源的情况下显著提高容器网络的整体性能。值得注意的是,Hyperion 可与现有的容器化应用程序无缝集成,无需进行修改。我们的评估显示,与最先进的解决方案相比,Hyperion 在 HTTP 容器通信延迟和吞吐量方面实现了显著改善,分别提高了 2.25 倍和 4.3 倍。此外,它还将与容器网络相关的 CPU 利用率降低了 4 倍。
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Hyperion: Hardware-Based High-Performance and Secure System for Container Networks
Containers have become the predominant virtualization technique for deploying microservices in cloud environments. However, container networking, critical for microservice functionality, often introduces significant overhead and resource consumption, potentially degrading the performance of microservices. This challenge arises from the complexity of the software-based network data plane, responsible for network virtualization and access control within container traffic. To tackle this challenge, we propose Hyperion , a novel hardware-based container networking system that prioritizes high performance and security. Leveraging smartNICs, commonly found in cloud environments, Hyperion implements a fully-functional container network data plane, encompassing network virtualization and access control. It also has the capability to dynamically optimize its data plane for agile responses to frequent changes in container environments, ensuring up-to-date data plane operation. This hardware-based design empowers Hyperion to significantly improve the overall container networking performance without relying on the host system resources. Notably, Hyperion seamlessly integrates with existing containerized applications without necessitating modifications. Our evaluation shows that compared to state-of-the-art solutions, Hyperion achieves significant improvements in HTTP container communication latency and throughput by up to 2.25x and 4.3x, respectively. Furthermore, it reduces CPU utilization associated with container networking by up to 4x.
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来源期刊
IEEE Transactions on Cloud Computing
IEEE Transactions on Cloud Computing Computer Science-Software
CiteScore
9.40
自引率
6.20%
发文量
167
期刊介绍: The IEEE Transactions on Cloud Computing (TCC) is dedicated to the multidisciplinary field of cloud computing. It is committed to the publication of articles that present innovative research ideas, application results, and case studies in cloud computing, focusing on key technical issues related to theory, algorithms, systems, applications, and performance.
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