A First Step Towards Production-Ready Network Function Storage: Benchmarking with NFSB

Haochen Pan, Yingjian Wu, Lewis Tseng, M. Rahman, Nakjung Choi
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Abstract

Recently, multiple research teams aimed to address the scalability and fault-tolerance issues of Network Functions (NFs) by implementing a storage system (or distributed shared object) to share state across NF instances. Each system demonstrated promising performance under specific scenarios. However, there are many more technical challenges to be addressed to build a production-ready storage system for NFs.In this paper, we enumerate these challenges, explain how some of them were addressed by previous systems, and discuss alternative promising solutions to tackle them. Most challenges remain as open problems, while others deserve more thorough study. The first goal of the paper is to provide a broad research agenda around this topic, by discussing more problems than solutions. Moreover, we advocate that the first step towards a production-ready system is to build a realistic yet extensible benchmarking tool to deploy, test, and analyze "network function storages" comprehensively. Toward this end, we present our tool – Network Function Storage Benchmarking (NFSB). Finally, we present some preliminary results using NFSB.
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迈向生产就绪网络功能存储的第一步:NFSB基准测试
最近,多个研究团队致力于通过实现存储系统(或分布式共享对象)在NFs实例之间共享状态来解决网络功能(NFs)的可伸缩性和容错问题。每个系统在特定场景下都展示了良好的性能。但是,要为NFs构建一个生产就绪的存储系统,还需要解决更多的技术挑战。在本文中,我们列举了这些挑战,解释了以前的系统是如何解决其中一些挑战的,并讨论了解决这些挑战的有希望的替代解决方案。大多数挑战仍然是悬而未决的问题,而其他挑战则值得更深入的研究。本文的第一个目标是围绕这一主题提供一个广泛的研究议程,通过讨论更多的问题而不是解决方案。此外,我们主张,迈向生产就绪系统的第一步是构建一个现实的、可扩展的基准测试工具,以全面部署、测试和分析“网络功能存储”。为此,我们提出了我们的工具——网络功能存储基准测试(NFSB)。最后,我们给出了一些使用NFSB的初步结果。
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