Network File System Version 4 Requirements for Computational Storage
draft-cel-nfsv4-comp-stor-reqs-01

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Network File System Version 4                                   C. Lever
Internet-Draft                                                    Oracle
Intended status: Informational                           August 12, 2019
Expires: February 13, 2020

  Network File System Version 4 Requirements for Computational Storage
                   draft-cel-nfsv4-comp-stor-reqs-01

Abstract

   This document introduces an architecture for supporting Computational
   Storage on Network File System version 4 (NFS) servers and clients.

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   This Internet-Draft is submitted in full conformance with the
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   This Internet-Draft will expire on February 13, 2020.

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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
   2.  Requirements Language . . . . . . . . . . . . . . . . . . . .   3
   3.  Service Discovery . . . . . . . . . . . . . . . . . . . . . .   3
   4.  Service Configuration . . . . . . . . . . . . . . . . . . . .   3
   5.  Service Operation . . . . . . . . . . . . . . . . . . . . . .   4
   6.  Security Considerations . . . . . . . . . . . . . . . . . . .   4
   7.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .   5
   8.  References  . . . . . . . . . . . . . . . . . . . . . . . . .   5
     8.1.  Normative References  . . . . . . . . . . . . . . . . . .   5
     8.2.  Informative References  . . . . . . . . . . . . . . . . .   5
   Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . .   5
   Author's Address  . . . . . . . . . . . . . . . . . . . . . . . .   6

1.  Introduction

   True computational storage conforms to one or both of the following
   criteria:

   o  A compute resource co-located with data storage leverages a high
      bandwidth link between that compute resource and storage.

   o  A compute resource co-located with data storage reduces interrupt
      or data bandwidth needed between storage and host.

   There are several broad use cases for 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
   typically located in files on NFS servers; the operation of the

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   computational service is often transparent to applications running on
   NFS clients.

   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.

   The purpose of the current document is to provide a framework for
   discussing and reasoning about computational storage relative to the
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