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.
Libfairydust is a small wrapper library intended for use with GPU clusters that 'hijacks' CUDA and OpenCL calls. It can be used to 're-route' calls to a certain GPU, so a process requesting GPU#0 might end up running on GPU#4 without knowing (or caring) about it. This works completely transparently and does not need any sort of 'cooperation' from the application, changes to code, or relinking.
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.
Nuxis is an integrated solution for virtualization management. Some of its features are centralized management of nodes/physical machines and virtual machines, management of virtual networks, storage management, ISO management, monitoring and statistics charts, backup/restore of appliance configurations, import from and export to other virtualization systems using the OVF format, access control, support for multiple operating systems on 32-bit and 64-bit architectures, including Linux and Windows, paravirtualized hardware acceleration drivers, live migrate, PXE boot, Web management, storage management with LVM, and more.
Collax V-Cube+ is a HA cluster management suite based on a 64bit Linux system and KVM to provide server virtualization. It offers solutions for single virtualization hosts, as well as high availability management on two or more nodes, allowing embedded HA storage using DRBD and iSCSI. By using live snapshots, automatic live migration, and incremental backups, the availability of virtual machines is increased tremendously in case of hardware and software maintenance or even hardware failures. Virtual network switches and the protocols GVRP, LLDP, and RSTP help to set up a virtual DMZ.
JASocket is a lock-free, scalable, and robust server framework with no single point of failure. Servers are run on a cluster of nodes. Servers interact with other servers using mobile agents, which reduces the number of messages and thus reduces the overall system latency. Administration is handled via ssh.
JAConfig implements an eventually consistent distributed key/value database for managing a JASocket cluster. Also included are Quarum for tracking when a quorum of hosts is present, Ranker for determining which nodes are least loaded, ClusterManager for starting up other servers, and Kingmaker, which decides which node is to run ClusterManager. JAConfig is lock-free, actor-based, and has no single point of failure.
LavaFlow creates useful reports on the usage of high-performance computing clusters. It takes data from the batch scheduling system, monitoring, and other tooling, and creates reports which help administrators, managers, and end users better understand their cluster environment. The reports are modular, and new modules are easy to create using templates and Django's query set API. LavaFlow uses human-readable RESTful URLs, making it easy to automate and share links to reports.