Data computers-data descriptions and access language
Why network data computers need unified descriptions and access methods.
Mealy, G.H., "Data computers-data descriptions and access language", RFC 195, DOI 10.17487/RFC0195, July 1971, <https://www.rfc-editor.org/info/rfc195>.
@misc{rfc195,
series = {Request for Comments},
number = 195,
howpublished = {RFC 195},
publisher = {RFC Editor},
doi = {10.17487/RFC0195},
url = {https://www.rfc-editor.org/info/rfc195},
author = {G.H. Mealy},
title = {{Data computers-data descriptions and access language}},
pagetotal = 4,
year = 1971,
month = jul,
} RFC text
Contents
Network Working Group G. H. Mealy
Request for Comments: 195 HARV
NIC 7140 16 July, 1971
Categories: D.4, D.7
Data Computers -- Data Descriptions and Access Language
According to the minutes of the NWG meeting in May (RFC 164), it
appears that a unified approach to Network data management is being
proposed to CCA. The purpose of this paper is to discuss some of the
problems involved and to suggest possible avenues of approach toward
their resolution. Parenthetically, I believe that a non-unified
approach leads to even worse problems.
My main remarks are predicated on a few assumptions and their
consequences. Since some or all may turn out to be wrong, it seems
appropriate to state them explicitly. The steps in the arguments
leading from the assumptions to their consequences may appear to be
(and in fact may be) less than obvious. They are all of a piece,
however, and revolve around the necessity for doing business with a
number of dissimilar HOST systems while attempting to make it
unnecessary for an individual user or user program to know the
details of data file organization and representation. Given this as
an objective, I believe that the arguments are quite direct.
Assumptions
------------
1. We face the usual set of naming, cataloging, protection,
backup, etc. problems.
(I say this only to dismiss the subject as far as the following
is concerned. In my estimation, these problems and feasible
solutions are reasonably well understood; our real problem in
this area is in reaching agreement on specifics while leaving
sufficient ratholes for future expansion).
2. Files stored will contain arbitrarily complex data objects.
3. The organization of any file (that is, the way its structure is
mapped into physical storage by the data computer) will
normally be unknown by the user.
4. Data items in files may be stored in arbitrary representations
(e.g., those of the originating user's HOST rather than that of
the data computer or other "standard" representation).
5. Access to a file will normally be to some subset of it. (I.e.,
the unit for transmission will usually be part of a file rather
than the whole file, and access will not necessarily be
sequential).
Consequences
------------
1. A method of data description significantly more powerful than
now commonly available (as with COBOL or PL/I) is required.
The descriptions must be stored with the files. Data item
representations and storage organizations must be describable.
2. The data computer must offer a "data reconfiguration service",
based on use of the data descriptions.
3. A representation and organization-independent level of
discourse must be made available for controlling access.
Data Description
-----------------
As it happens, the descriptive facilities in ELl (References 1 and 2)
are almost adequate as they stand. ELl is an extensible language --
the compiler and interpreter for ELl are principal components of a
system implemented on the PDP-lO at Harvard -- which allows the
definition of arbitrary data structures in terms of a few primitive
data types (BOOL, CHAR, INT, REAL, SYMBOL, MODE, FORM, and ROUTINE).
These data types are of the sort I called "generic" in Reference 3.
To the EL1 implementation on the PDP-10, say, we would have to add
methods to describe a specific representation of INT, etc. and
primitive routines to convert between specific representations.
In the ECL system (in which EL1 is embedded), there is no rigid
distinction between compile time and run time. In particular, if the
arguments and free variables of a routine are evaluable at compile
time, then the routine is evaluated and the value replaces the call.
More generally, arbitrarily large amounts of a routine being compiled
may collapse into values. As far as the data computer is concerned,
this offers the possibility of producing tailor-made data
reconfiguration programs, taking maximum advantage of the data
descriptions at compile time rather than using a strictly
interpretative mode of operation.
Access Language
---------------
Here, I am on less firm ground. I will suggest, however, that some
of the ideas of Sattley, et al (Reference 4) deserve consideration.
I will quote from the Reference:
"... Our proposal is a language for describing the transferable
features of files, in which conventional programming languages (e.g.,
FORTRAN, ALGOL, etc.,) can be embedded, and from which the
information necessary to optimize the use of secondary storage can be
easily abstracted. This language defines our abstract model of
secondary storage in the same way that FORTRAN defined an abstract
machine. This language should have (at least) the following
features:
1. File declarations name the file and the elements in the file,
and specify the range of forms that the elements can take.
Each file has precisely one named element. Each file includes
the (maximum) size (in number of elements) of the file.
2. Subsets of files can be created by means of grouping
declarations. Such subsets can be nested.
3. Subsets of files can be named by means of naming declarations.
Such declarations can also name individual elements of the
file. Some form of implicit naming, allowing language
constructs such as GET ANOTHER TRIPLE, is included.
4. Members of a set (i.e., elements in a subset or file, subsets
in a containing subset or file) can be ordered by order
declarations. Some form of arbitrary but fixed ordering,
allowing language constructs such as GET NEXT TRIPLE, is
included.
5. The portions of a file transacted with at a point of access is
declared. The size of this portion can be expressed in
absolute or relative terms.
6. At each point of access to secondary storage, an environment is
described (or referenced) which contains those declarations of
types (l)-(5) necessary to define the transaction with
secondary.
A language with the above features makes no mention of hardware
devices, but it provides the programmer with the means of defining
the algorithm-dependent features of his files so that those files
might be transferred efficiently from machine to machine".
In the Sattley, et al study, the notion was that a compiler would
take the source program and actually compile the hardware-dependent
file accessing code. In our environment, we are concerned with
control commands to the data computer (e.g., GET NEXT WALDO) and
supplying the data computer with enough information to define a
WALDO. The basic functions would seem to be the same, in either
case, albeit implemented rather differently.
References
1. Wegbreit, B. The Treatment of Data Types in EL1. Technical
Report, Division of Engineering and Applied Physics, Harvard
University, Cambridge, Massachusetts, May 1971.
2. Wegbreit, B. The ECL Programming System. Technical Report,
Division of Engineering and Applied Physics, Harvard University,
Cambridge, Massachusetts, April 1971.
3. Mealy, G. H. Another Look at Data. AFIPS Conference Proceedings,
vol. 31, 1967 Fall Joint Computer Conference
4. Sattley, K., Millstein, R. and Warshall, S. On Program
Transferability. Report CA-7011-2411, Massachusetts Computer
Associates, Wakefield, Massachusetts, Movember 1970.
[ This RFC was put into machine readable form for entry ]
[ into the online RFC archives by Larry Masinter 10/99 ]
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On this page
§1The Case for Unification
RFC 195 argues that network data computers require a unified approach to data management across heterogeneous hosts. The author states key assumptions: data files will contain arbitrarily complex data objects, file organization will be unknown to users, data may be stored in the originating host's native representation rather than a standard encoding, and access will typically be to subsets of files rather than whole files. Given these constraints, three consequences follow: (1) a powerful method of data description, more expressive than existing languages like COBOL or PL/I, is required and must be stored with files; (2) a data reconfiguration service must use these descriptions to transform data between representations; and (3) a representation and organization-independent access interface must let users work with data uniformly.
Different hosts keep data different ways. If you store a description with the data, any host can read that description and convert the data, so programs work everywhere.
§2Data Description Language
The RFC proposes using EL1, an extensible language implemented on the PDP-10, as the basis for data description. EL1 has primitive data types (BOOL, CHAR, INT, REAL, SYMBOL, MODE, FORM, and ROUTINE) which are generic, meaning they are independent of any specific representation. To use EL1 for network data, the system must add methods to describe specific representations of INT, REAL, and other primitives, and provide conversion routines to transform between specific representations. This approach allows an EL1 description to specify both the logical structure of complex data and the physical representation and encoding used on each host, enabling automatic conversion without rewriting application code.
Pick a language that can describe 'I have an integer' without saying how that integer is stored. Then add ways to say 'on this host, an integer is these 4 bytes' and 'convert between any two ways of storing it'.
§3Network Data Computers and Services
Using unified data descriptions, the network can support data computers—specialized systems offering storage, retrieval, and transformation services. A data reconfiguration service uses stored descriptions to convert data between representations on demand. This lets one host request data in its own native format, another request it in a different encoding, and a third request a computed subset, all from the same underlying file, without requiring that file to be stored in multiple copies in multiple formats. The data computer becomes effectively format-independent, handling the complexity of heterogeneous hosts and their requirements internally.
A special computer on the network keeps everyone's files. It reads descriptions, converts data to whatever format you need, and sends it. You never have to think about what format the file was originally stored in.