Virtual NVMe-Based Storage Function Framework With Fast I/O Request State Management

Current cloud environments provide numerous storage functions to virtual machines such as disk encryption, snapshotting, compression and so on. These functions are implemented using software stacks inside the hypervisor’s kernel, emulator, or as a userspace polling driver like SPDK. However, each stack brings its own limitations: Linux’s kernel I/O stack cannot easily integrate proprietary technologies such as Intel SGX, while SPDK requires significant changes in software development and tooling yet lacks the rich feature set of existing solutions like Linux LVM. To remedy these limitations, we introduce NVMetro, a high-performance storage framework for virtual machines based on the NVMe protocol. NVMetro provides multiple I/O paths that can be dynamically combined to fit the needs of each storage function. It links these paths together with an eBPF-based I/O router/classifier framework, as well as a userspace software stack for out-of-kernel I/O processing. We implemented three different storage functions with NVMetro and evaluated them under various workloads. Our results show that NVMetro approaches the performance of kernel-bypass solutions like SPDK while maintaining the compatibility and ease of use of in-kernel storage stacks.

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Publication Details

Journal
IEEE Transactions on Computers
Published
2025-04-04
DOI
https://doi.org/10.1109/tc.2025.3558033
Citations
1
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
1.49

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article

Virtual NVMe-Based Storage Function Framework With Fast I/O Request State Management

Georges Da Costa, Tu Dinh Ngoc, Boris Teabe, Daniel Hagimont
1 citations
IEEE Transactions on Computers
Distributed and Parallel Computing Systems
1.49
article

Virtual NVMe-Based Storage Function Framework With Fast I/O Request State Management

Georges Da Costa, Tu Dinh Ngoc, Boris Teabe, Daniel Hagimont
article en
1 citations

Abstract

Current cloud environments provide numerous storage functions to virtual machines such as disk encryption, snapshotting, compression and so on. These functions are implemented using software stacks inside the hypervisor’s kernel, emulator, or as a userspace polling driver like SPDK. However, each stack brings its own limitations: Linux’s kernel I/O stack cannot easily integrate proprietary technologies such as Intel SGX, while SPDK requires significant changes in software development and tooling yet lacks the rich feature set of existing solutions like Linux LVM. To remedy these limitations, we introduce NVMetro, a high-performance storage framework for virtual machines based on the NVMe protocol. NVMetro provides multiple I/O paths that can be dynamically combined to fit the needs of each storage function. It links these paths together with an eBPF-based I/O router/classifier framework, as well as a userspace software stack for out-of-kernel I/O processing. We implemented three different storage functions with NVMetro and evaluated them under various workloads. Our results show that NVMetro approaches the performance of kernel-bypass solutions like SPDK while maintaining the compatibility and ease of use of in-kernel storage stacks.

IEEE Transactions on ComputersVol. 74(7)
Université Fédérale de Toulouse Midi-Pyrénées (FR)
Agence Nationale de la Recherche, Centre International de Mathématiques et Informatique de Toulouse
Openalex Percentile: Top 19%
Distributed and Parallel Computing Systems
1.49
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Virtual NVMe-Based Storage Function Framework With Fast I/O Request State Management — Georges Da Costa, Tu Dinh Ngoc, et al. · IEEE Transactions on Computers (2025) | TGRS Research Map | TGRS