Archive for the ‘services’ Category

REST Pattern

Monday, June 30th, 2008

UNIVERSITY OF CALIFORNIA, IRVINE

Architectural Styles and
the Design of Network-based Software Architectures

DISSERTATION

submitted in partial satisfaction of the requirements for the degree of

DOCTOR OF PHILOSOPHY

in Information and Computer Science

by

Roy Thomas Fielding

2000

Dissertation Committee:
Professor Richard N. Taylor, Chair
Professor Mark S. Ackerman
Professor David S. Rosenblum

PDF Editions

1-column for viewing online
2-column for printing

Table of Contents

Dedication
Acknowledgments
Curriculum Vitae
Abstract of the Dissertation
Introduction
CHAPTER 1: Software Architecture
1.1 Run-time Abstraction
1.2 Elements
1.3 Configurations
1.4 Properties
1.5 Styles
1.6 Patterns and Pattern Languages
1.7 Views
1.8 Related Work
1.9 Summary
CHAPTER 2: Network-based Application Architectures
2.1 Scope
2.2 Evaluating the Design of Application Architectures
2.3 Architectural Properties of Key Interest
2.4 Summary
CHAPTER 3: Network-based Architectural Styles
3.1 Classification Methodology
3.2 Data-flow Styles
3.3 Replication Styles
3.4 Hierarchical Styles
3.5 Mobile Code Styles
3.6 Peer-to-Peer Styles
3.7 Limitations
3.8 Related Work
3.9 Summary
CHAPTER 4: Designing the Web Architecture: Problems and Insights
4.1 WWW Application Domain Requirements
4.2 Problem
4.3 Approach
4.4 Summary
CHAPTER 5: Representational State Transfer (REST)
5.1 Deriving REST
5.2 REST Architectural Elements
5.3 REST Architectural Views
5.4 Related Work
5.5 Summary
CHAPTER 6: Experience and Evaluation
6.1 Standardizing the Web
6.2 REST Applied to URI
6.3 REST Applied to HTTP
6.4 Technology Transfer
6.5 Architectural Lessons
6.6 Summary
Conclusions
References

List of Figures

Figure 5-1. Null Style
Figure 5-2. Client-Server
Figure 5-3. Client-Stateless-Server
Figure 5-4. Client-Cache-Stateless-Server
Figure 5-5. Early WWW Architecture Diagram
Figure 5-6. Uniform-Client-Cache-Stateless-Server
Figure 5-7. Uniform-Layered-Client-Cache-Stateless-Server
Figure 5-8. REST
Figure 5-9. REST Derivation by Style Constraints
Figure 5-10. Process View of a REST-based Architecture

List of Tables

Table 3-1. Evaluation of Data-flow Styles for Network-based Hypermedia
Table 3-2. Evaluation of Replication Styles for Network-based Hypermedia
Table 3-3. Evaluation of Hierarchical Styles for Network-based Hypermedia
Table 3-4. Evaluation of Mobile Code Styles for Network-based Hypermedia
Table 3-5. Evaluation of Peer-to-Peer Styles for Network-based Hypermedia
Table 3-6. Evaluation Summary
Table 5-1. REST Data Elements
Table 5-2. REST Connectors
Table 5-3. REST Components

[] © Roy Thomas Fielding, 2000. All rights reserved. [How to reference this work.]

Restlet RESTful Lightweight Kit for Java

Friday, June 20th, 2008

Finally rest for all that boilerplate in Java.  At each turn of lots of Java frameworks you are bombarded with layers.  I felt this long ago and see it in the developers eyes that work with Java.  Java can be easy, it can be RESTful and it will make you look sharp.

Lightweight REST framework for Java

Do you want to embrace the architecture of the Web and benefit from its simplicity and scalability? Leverage our innovative REST engine and start blending your Web Sites and Web Services into uniform Web Applications!

Java is making things more lightweight now with lots of emerging kits that compete with other web ready platforms like Python, Ruby, .NET, PHP etc. After this many years things get bloated and need to be simplified.  I think this will start winning people over in this direction.

The Common Baseplane Method to Caching — memcached

Tuesday, May 27th, 2008

If you have ever worked on a massively high trafficked website, you know that cache is very important to keeping the server count down and being a superhero to your database servers. Cache can be bad and overly optimized but when you hit a certain threshold, relational databases, databases that are dimension modelled for data warehouse, and even server resources get exhausted. At that point you have two options, buy more servers, or more likely, cache read data.

Each platform has their own way to do this, but there is a common baseplane way to do caching, yes even in .NET. That is with memcached. Memcached is a very common and useful tool that makes caching data and cache layers in an application something that can be the same on every platform. The benefit of using memcached is it is open, common and it has APIs for nearly every popular web development platform (and can be wired in easily to platforms that don’t have their own cache mechanism). Why write your caching layer specific to a certain platform when you can memcache?

If you write high performance web apps and don’t memcache, I feel bad for your server budget and your late nights when that ad buy hits or something popular on your site becomes all the rave.

Perl API

An object-oriented Perl module can be found on CPAN as Cache::Memcached or in Subversion (ChangeLog). (GPL/Artistic)

The Perl API takes advantage of the server’s opaque flag support and sets its “complex” flag whenever the object being stored or retrieved isn’t a plain scalar. In that case, the Storable module is used to freeze and thaw the value automatically going in and out of the memcached.

There is also Cache::Memcached::Fast—another Perl client written in C, largely compatible with the original Cache::Memcached. Available on CPAN at http://search.cpan.org/dist/Cache-Memcached-Fast/.

PHP API

There are tons of PHP libraries available, in different conditions. But it now seems there’s an official one:

Python API

The Python client we’d previously released was just a prototype, and we don’t have regular Python programmers on hand. The folks at Tummy.com have took over maintenance. See ftp://ftp.tummy.com/pub/python-memcached/ for the latest versions.

Ruby API

Java API

A Java API is maintained by Greg Whalin from Meetup.com. You can find that library here:

An improved Java API maintained by Dustin Sallings is also available. Aggressively optimised, ability to run async, supports binary protocol, etc. See site for details:

C# API

There are multiple C# APIs:

C API

Multiple C libraries for memcached exist:

  • apr_memcache by Paul Querna; Apache Software License version 2.0
  • libmemcached by Brian Aker; BSD license. This is a new library, under heavy development.
  • libmemcache by Sean Chittenden; BSD license. This is the original C library. It is no longer under active development. You should try libmemcached instead.

Postgres API

The pgmemcache project allows you to access memcache servers from Postgresql Stored Procedures and Triggers. More details and downloads are available at:

Chicken Scheme

Lua

MySQL API

The memcache_engine allows memcache to work as a storage engine to MySQL. This means that you can SELECT/UPDATE/INSERTE/DELETE from it as though it is a table in MySQL.

A set of MySQL UDFs (user defined functions) to work with memcached using libmemcached.

Protocol

To write a new client, check out the protocol docs. Be aware that the most important part of the client is the hashing across multiple servers, based on the key, or an optional caller-provided hashing value. Feel free to join the mailing list (or mail me directly) for help, inclusion in Subversion, and/or a link to your client from this site.

The best part, they support all good platforms and even Lua, and wisely they left out VB.NET, no worries, VB.NET’ers will never know. Only kidding…

Finally, memcached is distributed, most cache layers included with platforms listed above are in process and per machine.  If you are running your code on a webfarm memcached is the only way to go.

JSON-RPC Implementations

Thursday, March 20th, 2008

JSON-RPC is the answer to the argument that XML RPC is too verbose and bloated and convoluted.  JSON is just about as simple as you can get in data formats and it is becoming a great baseplane standard and is a tool that spans many platforms.

“Does distributed computing have to be any harder than this? I don’t think so.”

Can it be even simpler ?

JSON-RPC is lightweight remote procedure call protocol similar to XML-RPC. It’s designed to be simple!

JavaScript

C

C#

Erlang

Java

Lisp

Lua

Perl

Php

Python

Ruby

Frameworks



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