Network File System Version 4 Requirements for Computational Storage
draft-cel-nfsv4-comp-stor-reqs-02

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Network File System Version 4                                   C. Lever
Internet-Draft                                                    Oracle
Intended status: Informational                          February 3, 2020
Expires: August 6, 2020

  Network File System Version 4 Requirements for Computational Storage
                   draft-cel-nfsv4-comp-stor-reqs-02

Abstract

   This document proposes an architecture to support Computational
   Storage using Network File System version 4 (NFS) files.

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   This Internet-Draft will expire on August 6, 2020.

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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
   2.  Computational Storage in Operation  . . . . . . . . . . . . .   3
     2.1.  Service Discovery . . . . . . . . . . . . . . . . . . . .   3
     2.2.  Service Configuration . . . . . . . . . . . . . . . . . .   3
     2.3.  Service Operation . . . . . . . . . . . . . . . . . . . .   4
   3.  Security Considerations . . . . . . . . . . . . . . . . . . .   4
   4.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .   5
   5.  References  . . . . . . . . . . . . . . . . . . . . . . . . .   5
     5.1.  Normative References  . . . . . . . . . . . . . . . . . .   5
     5.2.  Informative References  . . . . . . . . . . . . . . . . .   5
   Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . .   6
   Author's Address  . . . . . . . . . . . . . . . . . . . . . . . .   6

1.  Introduction

   In traditional computing architectures, stored data is dormant.
   Computational storage brings computing power closer to data storage
   to leverage a high-bandwidth link between the compute resource and
   data-at-rest, or to reduce interrupt or data bandwidth needed between
   storage and host.  Reducing the movement of large data objects lowers
   power consumption and increases opportunities for parallelism.

   There are already several pervasive usage scenarios suited to
   computation offloaded to storage:

   Search:  Examples include SQL offload, a machine learning inference
      engine co-located with its dataset, or performing a "find"
      operation without pulling an entire filesystem's data to a client.

   Data Transformation:  Examples include compression, transcoding, and
      encryption.

   Data Management:  This might be a control plane that permits
      administrative actions such as instantiating a transfer to cold
      storage, integrity measurement (scrubbing), or creating a snapshot
      of a particular file.

   In some cases, computational storage is a computational service that
   is available as a direct offload for a host CPU.  The source and sink
   data both reside in the host's memory.  For NFS, however, the mission
   of computational storage techniques is to reduce network utilization
   between an NFS server and its clients.  Here, the source and sink are
   files on NFS servers.  The operation of the computational service can
   be entirely invisible to applications running on NFS clients.

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   NFSv4.2 [RFC7862] already applies this approach -- features new to
   NFSv4.2 include copy offload and file initialization (ALLOCATE), both
   of which are intended to prevent extra data round-trips between
   clients and server.

   Computational storage is an emerging technology already offered by
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