| Projects on Google Code | Results 1 - 10 of 72 |
==Description==
This is a Java implementation of the !MapReduce concept. The main goal is to provide robust implementation in terms of usage and simplicify of used technologies and design patterns. Implementation doesn't relay on Java features like RMI or Reflection so it can be easily rewritten to...
!MySpace Qizmt is a mapreduce framework for executing and developing distributed computation applications on large clusters of Windows servers. The !MySpace Qizmt project develops open-source software for reliable, scalable, super-easy, distributed computation software.
!MySpace Qizmt core featu...
=Welcome to Redpoll!=
[http://lh6.ggpht.com/_tcM1QBzzH7Q/SQ89fb2Ba4I/AAAAAAAABOU/UPVrM-zBKN8/s128/redpoll.jpg] The name of this project redpoll means a kind of small finches in northern North America and Eruasia, having a red crwon and black chin. We hope our project will grow agilely like these k...
mapreduce,
hadoop,
machine,
learning,
artificial,
intelligence,
mining,
data_mining,
distributed,
parallel
PLEASE NOTE THIS PROJECT IS NOW ON GITHUB: http://bulletsweetp.github.com/robotarmy
The Robot Army is a command-oriented general purpose distributed processing system, allowing arbitrary transform and aggregation operations over any size data set. It comes with a built-in data store layer, cons...
Gridool is an infrastructure of parallel job execution on Grid.
Gridool assigns jobs on computing clusters. <br/><br/>
The key futures of Gridool are listed below:
* Map-reduce functionality (Map-reduce on DHT).
* An mapped job is extensible using annotations. The extensible futures in user jo...
mapreduce,
grid,
dht,
p2p,
distributed-computing,
distributed-database,
consistent-hashing,
xml,
java,
replication,
fault-tolerance
... TODO: explain the reasoning behind this when Hadoop exists ...
(for small datasets, for applying the same algorithm to a subset of a larger dataset so you could run the same code locally or on Hadoop, as a pipeline test framework before running on the full dataset, as a teaching library etc)
A MapReduce Algorithm Development framework. You can use it to descript and test a MapReduce Algorithm quickly, and generate running code for Hadoop.
MapReduce library implemented at Politehnica University of Bucharest
maaap reduce is a
Continuous MapReduce with Hadoop.