3 projects tagged "Big Data"
HPCC (High Performance Computing Cluster) stores and processes large quantities of data, processing billions of records per second using massive parallel processing technology. Large amounts of data across disparate data sources can be accessed, analyzed, and manipulated in fractions of seconds. HPCC functions as both a processing and a distributed data storage environment capable of analyzing terabytes of information.
BitDew is a programmable environment for the management and distribution of data for grid, desktop grid, and cloud systems. It can easily be integrated into large scale computational systems such as XtremWeb, BOINC, Hadoop, Condor, Glite, Unicore, OpenStack, and Eucalyptus. It provides key P2P, grid, and cloud technologies (DHT, BitTorrent, Amazon S3, DropBox) and high level programming interfaces with a simple API for creating, accessing, storing, and moving data with ease, even in highly dynamic and volatile environments.
MapReduce-BitDew is an implementation of the MapReduce programming model proposed by Google for Internet Desktop Grids. Using MapReduce-BitDew, you can execute MapReduce applications on resources like Desktop PCs distributed on the Internet. MapReduce-BitDew features a firewall-friendly protocol, fault-tolerance, result-certification, 2-level schedulers, and more.
A C++11 unit testing framework based on Perl's Test::More module.