vNFS

Author:

Chen Ming1,Bangera Geetika Babu1,Hildebrand Dean2,Jalia Farhaan1,Kuenning Geoff3,Nelson Henry4,Zadok Erez1

Affiliation:

1. Stony Brook University, Stony Brook, NY

2. IBM Research - Almaden, San Jose, CA

3. Harvey Mudd College, Platt Blvd., Claremont, CA

4. Ward Melville High School, Setauket- East Setauket, NY

Abstract

Modern systems use networks extensively, accessing both services and storage across local and remote networks. Latency is a key performance challenge, and packing multiple small operations into fewer large ones is an effective way to amortize that cost, especially after years of significant improvement in bandwidth but not latency. To this end, the NFSv4 protocol supports a compounding feature to combine multiple operations. Yet compounding has been underused since its conception because the synchronous POSIX file-system API issues only one (small) request at a time. We propose vNFS , an NFSv4.1-compliant client that exposes a vectorized high-level API and leverages NFS compound procedures to maximize performance. We designed and implemented vNFS as a user-space RPC library that supports an assortment of bulk operations on multiple files and directories. We found it easy to modify several UNIX utilities, an HTTP/2 server, and Filebench to use vNFS. We evaluated vNFS under a wide range of workloads and network latency conditions, showing that vNFS improves performance even for low-latency networks. On high-latency networks, vNFS can improve performance by as much as two orders of magnitude.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture

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4. CA-NFS

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