Makeflow is a workflow engine for executing large complex workflows on clusters, clouds, and grids. Makeflow is very similar to traditional Make, so if you can write a Makefile, then you can write a Makeflow. You can be up and running workflows in a matter of minutes.

Our goal is to make it as easy as possible for you to use messaging to create and connect to cloud applications. This radically simpler portability of applications and integration of services is the essence of Cloud Foundry. To understand what this means for messaging as a service, let’s look at how people use RabbitMQ in the cloud and then see why we think offering RabbitMQ as a service makes sense.

 Ø  The socket library that acts as a concurrency framework.
 Ø  Faster than TCP, for clustered products and supercomputing.
 Ø  Carries messages across inproc, IPC, TCP, and multicast.
 Ø  Connect N-to-N via fanout, pubsub, pipeline, request-reply.
 Ø  Asynch I/O for scalable multicore message-passing apps.
 Ø  Large and active open source community.
 Ø  30+ languages including C, C++, Java, .NET, Python.
 Ø  Most OSes including Linux, Windows, OS X.
 Ø  LGPL free software with full commercial support from iMatix.

DNode is an asynchronous object-oriented RPC system for node.js that lets you call remote functions.

It works over network sockets and even in the browser with socket.io.

Plus, there are dnode implementations for perl, ruby, and java, so you can glue together all your backend processes swimmingly.

hook.io creates a distributed node.js EventEmitter that works cross-process / cross-platform / cross-browser. Think of it like a real-time event bus that works anywhere JavaScript is supported.

You create custom i/o scenarios by picking and choosing from an extensive library of tiny, independent, autonomous "hooks" that seamlessly work together.

Most discussion around thrift and protobuf are polarized around performance and/or features, but I’m afraid the discussion is more nuanced than that. My hope with this post is to shed some more light on these two systems and how you should go about evaluating what is best for your needs.

hook.io is a full featured i/o framework for node.js. hook.io allows you to create clouds of node.js processes which seamlessly communicate with each other to form fault-tolerant distributed systems.

Bloom is a language …

… for disorderly distributed programming
because order is expensive

… with powerful consistency analysis
CALM guidance on coordination

… and concise, familiar syntax
based on data-centric languages

RabbitMQ is an open source AMQP (Advanced Message Queuing Protocol) implementation. Celery, originally built for use with Django, is now a general, distributed task queue system based on AMPQ server, multiprocessing Python module and a persistent or non-persistent storage backend. Combining these three solves the problem of building highly-available task queues.

The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model.

Cascading is a feature rich API for defining and executing complex, scale-free, and fault tolerant data processing workflows on a Hadoop cluster.

Supervisor is a client/server system that allows its users to monitor and control a number of processes on UNIX-like operating systems.

Provides a trivial wrapper for Yahoo! BOSS, but goes further and provides a simple framework for building distributed search networks.

PP is a python module which provides mechanism for parallel execution of python code on SMP (systems with multiple processors or cores) and clusters (computers connected via network).

Persevere is an open source set of tools for persistence and distributed computing using an intuitive standards-based JSON interfaces of HTTP REST, JSON-RPC, JSONPath, and HTTP Channels.

This is stock Amazon Fedora 4 image with JDK 1.6 and Red5 v5-0.6.3.

Views map keys to values, where the key is automatically indexed and can be used to filter and/or sort results. Keys can be any JSON object, which enables a whole class of tricks that are rather non-obvious…

Amazon SimpleDB is a web service for running queries on structured data in real time.

Docs for Amazon's Elastic Computing Cloud.

An Hbase subsystem for RDF, called HbaseRDF, which uses Hbase + MapReduce to store RDF data and execute queries (e.g., SPARQL) on them.

An application written for a single node can, using Terracotta, be transparently deployed on an EC2 cluster.

It makes it simple to build collaborative applications that can be replicated offline by users, with full interactivity (query, add, update, delete), and later synced up.

A major component of the proposed work concerns developing the foundations of bi-directional programming languages, in which every program denotes a pair of functions---one for extracting a view of some complex data structure, and another for ``putting ba

In this paper, we develop a broadly applicable parallel programming method, one that is easily applied to many different learning algorithms.

Data is organized into tables, rows and columns, but a query language like SQL is not supported. An Iterator-like interface is available for scanning through a row range (and of course there is an ability to retrieve a column value for a specific key).

The highest abstraction layer in Pig is a query language interface, whereby users express data analysis tasks as queries, in the style of SQL or Relational Algebra.

This paper describes how to use Amazon Web Services and Hadoop to run an ad hoc analysis on a large collection of web access logs that otherwise would have cost a prohibitive amount in either time or money.

With the cooperative intention of projects such as these, crowdsourcing as a method of artistic production appears to be heir to the throne of 1960s and 70s happenings and participatory art.

Thousands of workers on Amazon's Mechanical Turk webservice were paid two cents to "draw a sheep facing to the left." Their sheep drawings were collected and printed on collectable stamps.

The objective of this project is the development of a set of e-culture demonstrators providing multimedia access to distributed collections of cultural heritage objects.

LID is a quite simple, but powerful technology that empowers individuals to keep control over and manage their on-line digital identities.

Hadoop is a collection of code libraries and programs useful for creating very large distributed systems.

From the microkernel to the upper layers NetKernel uses a generalization of REST, the basis for the successful operation of the World Wide Web, and applies it to the finest granularity of resource oriented software composition.

dotSUB provides free browser based tools that allow anyone to translate films from one language into countless other languages.

memcached is a high-performance, distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load.