Lecture 24: Data Formats and Encoding -- A Philosophy Lecture


Reflections on Data Encoding

Compare:
Classic Internet Application Protocols
Protocol messages usually lines of printable ASCII text, using the telnet NVT convention for line endings. Data is either textual (hence transmitted as Telnet NVT lines), encoded into textual form (eg, Base64 for email attachents) or simply transmitted as binary (eg, images in HTTP) -- no generic rules apply across all protocols.

SNMP-based Network Management
Data and protocols are both described using ASN.1, encoded using the TLV-style BER for transmission -- a binary format. The entire PDU (data and "header information") is a single BER entity. Note, incidentally, that ASN.1 technology is in wideapread use other than in network management; eg, in LDAP, X.500 (and related), Microsoft NetMeeting and in many industrial applications.

Both of these formats exemplify a principle whereby the protocol message is encoded into a standardised or canonical form for transmission. What "goes over the wire" is in the same format, regardless of the type and characterictics of each of the machines involved in the transfer[1]. This is a Big Idea.

[1] There are alternatives to this: we already seen a technique (way back in the telnet lecture) generically called terminal emulation, whereby the sender of the data converts it to the specific format expected by the receiver before sending. The other approach is called (in some circles) receiver-makes-right. Here the receiving software, knowing the source of the data, converts it to its own format before proceeding. This obviously fails if the source can't be determined!


Parsing

ASCII text-based protocols have the advantage of human readability, which has aided the debugging and development of these protocols. Also, many other data types can easily expressed in ASCII -- for example, numeric data: eg, the ASCII string "2529" is clearly an integer. Note, however, that even such a simple system has potential pitfalls: think of the textfile conventions of Unix systems, PCs and Macs vis-a-vis the telnet NVT "line-of-text" convention used in these protocols.

Protocol messages in these classic Internet application are structured to conform to a grammar -- a set of syntax rules. The receiver of such a message has to parse it to discover its meaning. This can be compared to the process whereby (eg) a Java source file is compiled to a byte-code equivalent. The problem here is that writing a parser is (still) considered to be a difficult programming problem, and developers tend to try and avoid them if possible...

In contrast, an ASN.1/BER bytestream can be interpreted using (in principle, at least) a somewhat simpler pattern matcher. Such software is, in general, easier to write -- it can be written using a "Finite State Machine" model, or could even be as simple as a sequence of nested IF-statements. The downside is a protocol that can't be tested using "human-readable" messages. TANSTAAFL.


Document Formats -- XML

We have concentrated, so far, on protocol formats, but the data (or document) is also interesting. For example, the (usually) ASCII HTML document is the basis of the World Wide Web. HTML is a curious mixture of structural (or semantic) markup, and markup elements used for in-line presentational formatting. For example, <h2>Header</h2> is clearly a structural markup, whereas <b><i>important text</i></b> is (generally speaking) simply an indication of how the author would like the text displayed.

HTML has evolved (via mechanisms such as Cascading Style Sheets (CSS)) into the far richer XML (eXtensible Markup Language). In XML, the details of both the meaning of the markup tags, and the presentational aspects of the document have been separated from it. The document itself contains only semantic (or structural) information. Conceptually we have the notion of "Document as Database"

XML can be considered as a document-level canonical form. It has already been used extensively in the Web, both as an adjunt to HTML and as a replacement -- modern browsers can already process XML documents using associated XSL style sheets. More importantly, it is becoming clear that more complex "Web Services" can, and will, be based on XML, see later.


Background: Client-Server Programming with RPC

Until now, this unit has only looked at (socket-based) protocols where the details of the protocol are visible to the programmer. An alternative paradigm is that of the Remote Procedure Call (RPC). In this model, a programmer (using an imperative or procedual programming model) thinks of a service on a network server as though it were a sub-routine (or procedure, or function[2]) in almost exactly the same way he/she thinks of a local sub-routine.

An RPC application is built (compiled), as usual, but with external (remote) procedures replaced with stub procedures. The RPC system arranges for the stub procedure to transparently send network messages to the remote procedure, and receive returned values. Thus development of networked applications is, in theory at least, not harder than development for a single machine. The Unix RPC system (originally developed at Sun Microsystems) uses a canonical form called XDR (eXternal Data Representation) data encoding system for sending data across the network. It is quite a complex specification: we will examine how one data type -- the integer is handled.

[2] "Sub-routine" is an historical generic term for a re-usable code-segment with formally specified parameter passing conventions. The term procedure was used for the same thing in Pascal, and function in C.


Example: Integers in Unix RPC

We assume that an integer is 32 bits (4 bytes) in length. There are (basically) two ways in which an integer can be stored in the memory of a computer: with the Least Significant Byte in the lowest numbered address (so-called Little-Endian format), or with the Most Significant Byte at that position (Big-Endian). The Intel (and compatible) range of processors is Little-Endian, as were the Digital range of CPUs, and virtually all others (past and present) are Big-Endian.

Little Endian vs
Big Endian storage of integer
Take, for example, the integer 1003421dec (000f4f9dhex). We assume that this integer is stored at address X in memory. In the Little-Endian storage, shown at left, the byte at the "address of" the integer has value 9dhex. In Big-Endian storage, shown at right, the byte at the "address of" the integer is 00hex.

Software which desires to send (as raw bytes) such an integer as a parameter to a remote procedure cannot simply read the bytes from memory and transmit them, because the remote machine might use a different byte-order. In XDR, the solution is to (transparently) convert integers from their native format to Big-Endian format for transmission, and transparently convert them back at the other end to the appropriate native format. Hence, two non-Intel machines will incur no "translation overhead", whereas two Intel machines communicating will be required to convert the order at each end of the communications.

It will be readily seen that, as mentioned, XDR uses canonical forms for data transmission. More importantly, the required conversions occur within the RPC sub-system, so the programmer never needs to be aware of them. Their operation is transparent.


Extended RPC: "Distributed Object" Programming Models

The emergence of Object-Oriented Programming (OOP) -- particularly in languages such as C++ and Java -- changed the way in which programmers thought about RPC. Instead of executing a remote procedure/function, the conceptual model became that of "networked objects", and thus invocation of their object methods across the network.

The three major "frameworks" in this space have (historically) been:

CORBA (Common Object Request Broker Architecture)

Developed by the Object Management Group (OMG), this framework was the first attempt to create a "distributed object" environment. Based on the idea of an "Object Request Broker", it uses a protocol called the "Internet Inter-ORB Protocol (IIOP)". Available for most platforms.

DCOM

This framework was developed by Microsoft, and is specific to their platforms and language development environments, although Java is supported, and third-party companies ahve developed implmentations for other platforms. The "Object Remote Procedure Call (ORPC)" protocol on which it's based is derived from the older DCE specification, a competitor to Sun's original RPC.

Java/RMI

Sun Microsystems has developed this system to support its "Java Everywhere" model of programming -- only supported for the Java language from release 1.1. The underlying protocol is called "Java Remote Method Protocol (JRMP)" and was (apparently) developed from the original Sun RPC.

Each of these frameworks (and their underlying protocols) is based on the idea of serializing the objects to be transferred, transparently to the developer. He/she does not need to know the details of how the system is implemented, or what it's doing "underneath". The mappings from a program's (system's) internal data structures to (and from) what's sent over the network is automatic.


Future RPC: Web Services with SOAP & XML-RPC

The XML data model is rich enough to represent virtually any data object. Initially, a group working at Microsoft came up with the idea of doing Remote Procedure Calls using XML as the "serializing" technology. Their original work has spun off to become the "XML-RPC" project, which has the aim of "...remote procedure calling using HTTP as the transport and XML as the encoding. XML-RPC is designed to be as simple as possible, while allowing complex data structures to be transmitted, processed and returned.". XML-RPC is based on HTTP's POST request for the "procedure call" and an ordinary HTTP response to return the results.

A separate project team, at Microsoft, decided to extend the basic idea of XML-based RPC to a much more elaborate protocol, calling it the "Simple Object Access Protocol (SOAP)". It has been submitted to W3C as a proposed standard. It can run over HTTP or SMTP (?), and allows arbitrary objects to be encoded (or serialized). SOAP has the backing of several influential companies (Microsoft, IBM, etc).

The (recently invented) expression "Web Services" is based on SOAP, and describes a range of proposed "Business-to-Business" XML-based services running over HTTP (port 80). Perhaps the most significant aspect of SOAP-based Web Services is that both the protocol (usually HTTP) and the core language (XML) are public standards, and are well understood. Even more significant is that SOAP builds on the knowledge gained from a decade of "The Web", and from this perspective alone is likely to succeed.


So What's Wrong with XML?

Not much. Except that it general it creates BIG datasets. In fact, the XML spec states: "Terseness in XML markup is of minimal importance". Some typical numbers: a colleague's recent ASCII database dump of about 9MB turned into 25MB in XML for network transfer. Why is this a problem?

An oft-quoted(?) technology axiom states (approximately): "Bandwidth and batteries do not follow Moore's Law". That is, whilst CPUs roughly double in performance every 18 months, other more "mundane" technologies don't. Some examples:

In other words, compactness in data encoding will always be important in networking.


Compact Encodings

So what's the best way to encode compact data?

Answer #1:

Compress the XML before transmission? Wrong. Why? Unless the document is large, typical compresion algorithms (eg gzip) actually make the data bigger. And lots of CPU power is needed at the receiver to decompress.

Answer #2:

Ignore the problem. Unfortunately this is wrong too. The problem is that in XML the recipient is required to "parse" (a slightly different meaning of the word than previous) the document to extract information. This can be compared to the traditional RPC approach where the RPC libraries map information directly to "internal" data structures. Parsing is a heavy consumer of CPU, and hence battery power. Note that there isn't universal agreement on this point!

Answer #3

Invent a standardised way of converting an XML entity into a new (compact) form for transmission. The XML Binary group is working on this possibility.

Answer #4

Use an existing compact binary encoding, of which the best known and understood is probably ASN.1/BER!


Montagues and Capulets: ASN.1 and XML[3])

One of the fascinating research efforts in this area has been integrating the ASN.1 "view of the universe" with XML. Consider this:

The ASN.1 community is now suggesting that ASN.1 is a better schema language than XSD. A document/data entity which is described using ASN.1 can be automatically mapped to textual XML for network transfer, and an XER (XML Encoding Rules) standard is now available. Alternatively, it can be encoded using BER (or, more likely its successor DER) into a compact binary format where this is needed. The Fast Web Services initiative is now focussing commercialising this.

[3] The Montagues and Capulets were the two feuding families in Shakespeare's play "Romeo and Juliet". The comparison was (apparently) first made in this paper (caution: link is MS Powerpoint document).


References

The ISO 8859 Alphabet Soup
Google's Component Frameworks -- Comparison and Review Page
A Detailed Comparison of CORBA, DCOM and Java/RMI
OMG Home. See also CORBA Home.
RMI tutorial. from Sun. See also here.
Microsoft's COM Technologies page. Doesn't display in my copy of Netscape 4.
XML, Web Services, and the .NET Framework
SOAP vs. DCOM & RMI/IIOP
XML-RPC vs. SOAP
Google's Web Services -- SOAP Page. The "Categories" and "Related Categories" lists of useful useful links are good here too.
More about SOAP (and related protocols) than you're ever likely to need...
XML-RPC Home Page
The tutorial for this lecture is Tutorial #24.
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Copyright 2004 by Philip Scott, La Trobe University.
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