15 projects tagged "Cluster"
Symbolic is an enterprise platform designed to build, configure, and manage your huge and globally distributed data centers. It features cloud computing, Web manager virtual environments (Xen, KVM, and libvirt), clustering support, custom operations and scripts support, and user and role definitions.
slkvm is an application to provide some system tools to work with clustering and virtualization. It focuses on depending on as few external tools as possible but to also support as many virtualization technologies as possible. It works in a cluster environment where heartbeat runs virtual machines of nodes that have failed. It builds an "unheaded" cluster to avoid having a clear point of failure. It is able to build a two node cluster with everything redundant. It avoids compiling a new kernel or newer version of applications, so you can benefit from Debian security updates.
OpenSVC is a 'service' manager, as in clustered service manager. Services are described as collections of resources (IP, disk groups, filesystems, file synchronizations, and application launchers). Services can be started, stopped and queried for status, providing a consistent command set for wildly different service integrations. Services can be administered using a stand-alone free software stack deployed on the nodes (nodeware). Service configurations, status, and logs are pushed to a central database coupled to a Web front-end (collector).
Lingua Server is a fast multi-protocol application service server in Java. Its main features are very fast response times, a pluggable protocol and transport architecture, very easy application service development (MVC), built-in cluster support using multicast, auto-discovery, and distributed shared objects.
Strategico is an engine for running statistical analysis over groups of time series. It can manage one or more groups (projects) of time series: by default, you can get data from a database or CSV files, normalize them, and then save them inside the engine. The first statistical analysis implemented inside Strategico is the "Long Term Prediction": it automatically finds the best model that fits each time series. Some of the models implemented are mean, trend, linear, exponential smoothing, and Arima. Strategico is scalable: the statistical analysis over each time series (of a project) can be run separately and independently. It is suggested that you set up an HPC Cluster (High Performance Computing) and/or use a resource scheduler like slurm. It is developed with R, one of the most famous statistical languages.
Moscrack is a WPA cracker for use on clusters. It supports MOSIX, SSH, and RSH connectivity and works by reading a word list from STDIN or a file, breaking it into chunks, and passing those chunks off to separate processes that run in parallel. The parallel processes are then executed on different nodes in your cluster. All results are checked and recorded on your master node. Logging and error handling are taken care of. It is capable of running reliably for long periods of time, without the risk of losing data or having to restart. Moscrack uses aircrack-ng by default. Pyrit for WPA cracking and Dehasher for Unix password hashes are supported via plugins.
A ready-to-use architecture to ease the creation of MDI-style applications in Java.