Binary Encodings for JavaScript Object Notation: JSON-B, JSON-C, JSON-D
draft-hallambaker-jsonbcd-12

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Network Working Group                                    P. Hallam-Baker
Internet-Draft                                         Comodo Group Inc.
Intended status: Informational                              May 24, 2018
Expires: November 25, 2018

Binary Encodings for JavaScript Object Notation: JSON-B, JSON-C, JSON-D
                      draft-hallambaker-jsonbcd-12

Abstract

   Three binary encodings for JavaScript Object Notation (JSON) are
   presented.  JSON-B (Binary) is a strict superset of the JSON encoding
   that permits efficient binary encoding of intrinsic JavaScript data
   types.  JSON-C (Compact) is a strict superset of JSON-B that supports
   compact representation of repeated data strings with short numeric
   codes.  JSON-D (Data) supports additional binary data types for
   integer and floating-point representations for use in scientific
   applications where conversion between binary and decimal
   representations would cause a loss of precision.

   This document is also available online at
   http://mathmesh.com/Documents/draft-hallambaker-jsonbcd.html [1] .

Status of This Memo

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   This Internet-Draft will expire on November 25, 2018.

Copyright Notice

   Copyright (c) 2018 IETF Trust and the persons identified as the
   document authors.  All rights reserved.

   This document is subject to BCP 78 and the IETF Trust's Legal
   Provisions Relating to IETF Documents

Hallam-Baker            Expires November 25, 2018               [Page 1]
Internet-Draft           JSON-B, JSON-C, JSON-D                 May 2018

   (https://trustee.ietf.org/license-info) in effect on the date of
   publication of this document.  Please review these documents
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   described in the Simplified BSD License.

Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
     1.1.  Objectives  . . . . . . . . . . . . . . . . . . . . . . .   3
   2.  Definitions . . . . . . . . . . . . . . . . . . . . . . . . .   4
     2.1.  Requirements Language . . . . . . . . . . . . . . . . . .   4
     2.2.  Defined Terms . . . . . . . . . . . . . . . . . . . . . .   4
     2.3.  Related Specifications  . . . . . . . . . . . . . . . . .   4
     2.4.  Terminology . . . . . . . . . . . . . . . . . . . . . . .   5
   3.  Extended JSON Grammar . . . . . . . . . . . . . . . . . . . .   5
   4.  JSON-B  . . . . . . . . . . . . . . . . . . . . . . . . . . .   7
     4.1.  JSON-B Examples . . . . . . . . . . . . . . . . . . . . .   9
   5.  JSON-C  . . . . . . . . . . . . . . . . . . . . . . . . . . .  10
     5.1.  JSON-C Examples . . . . . . . . . . . . . . . . . . . . .  11
   6.  JSON-D (Data) . . . . . . . . . . . . . . . . . . . . . . . .  12
   7.  JBCD Frames and Records . . . . . . . . . . . . . . . . . . .  13
   8.  Acknowledgements  . . . . . . . . . . . . . . . . . . . . . .  14
   9.  Security Considerations . . . . . . . . . . . . . . . . . . .  14
   10. IANA Considerations . . . . . . . . . . . . . . . . . . . . .  15
   11. References  . . . . . . . . . . . . . . . . . . . . . . . . .  15
     11.1.  Normative References . . . . . . . . . . . . . . . . . .  15
     11.2.  Informative References . . . . . . . . . . . . . . . . .  15
     11.3.  URIs . . . . . . . . . . . . . . . . . . . . . . . . . .  15
   Author's Address  . . . . . . . . . . . . . . . . . . . . . . . .  15

1.  Introduction

   JavaScript Object Notation (JSON) is a simple text encoding for the
   JavaScript Data model that has found wide application beyond its
   original field of use.  In particular JSON has rapidly become a
   preferred encoding for Web Services.

   JSON encoding supports just four fundamental data types (integer,
   floating point, string and boolean), arrays and objects which consist
   of a list of tag-value pairs.

   Although the JSON encoding is sufficient for many purposes it is not
   always efficient.  In particular there is no efficient representation
   for blocks of binary data.  Use of base64 encoding increases data
   volume by 33%. This overhead increases exponentially in applications