云存储准备好了吗?基于ip的存储系统综合研究

Zhonghong Ou, Zhen-Huan Hwang, Feng Chen, Ren Wang, Antti Ylä-Jääski
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引用次数: 8

摘要

传统上,网络存储系统主要由两种基于ip的存储技术所主导,即NAS (network Attached storage)和SAN (storage Area network)。近年来,基于云的存储(例如Amazon S3)因其高灵活性和跨平台兼容性而越来越受欢迎。许多企业正在考虑用基于云的系统取代传统的存储系统。评估这种转变需要对理解新兴云存储的性能行为进行系统的研究。为了填补这一空白,本文对现实网络条件下的三种存储系统进行了全面的研究。具体来说,我们从每个类别中选择一个代表进行比较,即NAS中的网络文件系统(NFS), SAN中的互联网小型计算机系统接口(iSCSI)和云存储中的OpenStack Swift。我们建立了一个测试平台,并开发了一套微基准测试来研究网络复杂性的影响。通过一系列实验和详细的分析,我们得出了几个关键的观察结果:(1) iSCSI在良好的网络条件下表现出色,例如在局域网(lan)中,网络延迟和丢包是微不足道的;(2)NFS和Swift更适合于复杂的网络,例如无线网络和互联网环境;(3)Swift在我们研究的所有场景中都是NFS的可行替代品;(4)客户端系统配置对存储性能的影响很大,值得足够关注。我们希望我们的发现不仅可以为存储服务的设计和优化提供启发,还可以鼓励对新兴存储技术的更多研究。
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Is Cloud Storage Ready? A Comprehensive Study of IP-Based Storage Systems
Traditionally, network storage systems have mainly been dominated by two IP-based storage technologies, i.e., Network Attached Storage (NAS) and Storage Area Network (SAN). In recent years, cloud based storage (e.g., Amazon S3) has gained growing popularity for its high flexibility and cross-platform compatibility. Many enterprises are considering to replace traditional storage systems with cloud-based systems. Evaluating such a transition demands a systematic study on understanding the performance behaviours of the emerging cloud storage. To fill in this gap, in this paper, we conduct a comprehensive study on the three storage systems with realistic network conditions. Specifically, we select one representative from each category for comparison, i.e., Network File System (NFS) from NAS, Internet Small Computer System Interface (iSCSI) from SAN, and OpenStack Swift from cloud storage. We build a testbed and develop a suite of micro-benchmarks to study the impact of network complexities. Through a set of experiments and detailed analysis, we make several key observations: (1) iSCSI excels under good network conditions, e.g., in local area networks (LANs) where network delay and packet loss are trivial, (2) NFS and Swift are more suitable for complex networks such as wireless networks and Internet environment, (3) Swift is a viable replacement for NFS in all scenarios we investigate, and (4) system configuration on the client side impacts storage performance significantly and deserves adequate attention. We hope our findings can not only shed light on storage service design and optimizations, but also encourage more research on emerging storage technologies.
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