16 projects tagged "Cluster"
Updated 09 Apr 2013
974 Application Server
| Pop | 274.55 |
|---|---|
| Vit | 12.49 |
974 Application Server helps with development of powerful Web applications emphasizing security and clustered load balancing which you can rapidly redistribute on the same cluster to other customers.
Updated 04 Jun 2010
GoESMTP
| Pop | 28.00 |
|---|---|
| Vit | 32.89 |
GoESMTP is a multi-node ESMTP server. It was designed from the start to work as a cluster. Each node keeps an index of the available messages by using hashes which are distributed throughout the cluster.
Updated 11 Feb 2013
JAConfig
| Pop | 81.52 |
|---|---|
| Vit | 3.36 |
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.
Updated 11 Feb 2013
JASocket
| Pop | 149.43 |
|---|---|
| Vit | 6.59 |
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.
Updated 08 Apr 2013
LavaFlow
| Pop | 30.51 |
|---|---|
| Vit | 6.58 |
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.
Updated 26 May 2010
Lingua Server
| Pop | 21.77 |
|---|---|
| Vit | 33.04 |
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.
Updated 23 Apr 2013
Makeflow
| Pop | 281.63 |
|---|---|
| Vit | 13.88 |
Makeflow is a workflow engine for executing large complex applications on clusters, clouds, and grids. It can be used to drive several different distributed computing systems, including Condor, SGE, and the included Work Queue system. It does not require a distributed filesystem, so you can use it to harness whatever collection of machines you have available. It is typically used for scaling up data-intensive scientific applications to hundreds or thousands of cores.
Updated 18 May 2011
Moscrack
| Pop | 86.27 |
|---|---|
| Vit | 3.19 |
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.
Updated 30 Apr 2010
OmniSSH
| Pop | 35.33 |
|---|---|
| Vit | 33.42 |
OmniSSH is a program that is used to execute a command or upload files on many servers in a cluster in a parallel, reliable, and well-documented fashion.
Updated 25 Sep 2012
Strategico
| Pop | 185.67 |
|---|---|
| Vit | 6.08 |
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.
