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Showing 4 open source projects for "workload"

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1

JobScheduler

JobScheduler workload automation to execute jobs and workflows

JS7 JobScheduler runs executables, scripts and database procedures and can be operated with e.g. MySQL, PostgreSQL, SQL Server, Oracle databases. JS7 JobScheduler provides workflow patterns such as sequential and parallel task execution, forking, synchronization, cross-platform scheduling, job load sharing, fail-over and a real REST API. JS7 includes the components: * JOC Cockpit (user interface for inventory management and control) * Controller (orchestration of Agents) * Agents:...

12 Reviews

Downloads: 13 This Week

Last Update: 2026-04-13
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2

PC Workman HCK

AI-powered PC monitoring that explains. Not shows numbers/spikes.

...-TURBO mode: one click stops unnecessary services (Gaming/Work/Economy profiles), switches power plan, flushes RAM, freezes idle apps. -One click restores everything. -Thermal Baseline: learns normal temperatures per workload type. 72C while gaming? Normal. 72C on idle? Alert. -Voltage monitoring with industrial-grade anomaly detection (Nelson Rules SPC). -Ghost Driver Hunter: finds old drivers from hardware you removed years ago. -DeepMonitor: HWMonitor-style sensor table with 90-day SQLite history. 373 process definitions. Hover any process, know what it is instantly. ...

4 Reviews

Downloads: 12 This Week

Last Update: 2026-06-08
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3

JPPF

The open source grid computing solution

JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid.

17 Reviews

Downloads: 17 This Week

Last Update: 2018-09-17
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4

ThunderstormDistributor

Distribute jobs to compute nodes on dynamic clusters

ThunderstormDistributor is a queuing system that distributes jobs and computational workload across dynamic clusters in the cloud. It manages the assignment of jobs to maximize CPU and memory usage and prevent oversubscription of compute nodes. It also performs advanced statistics collection on individual compute nodes and jobs to graph the distribution of disk, network, CPU, and memory usage over time, which facilitates the advanced optimization and tuning of computational workflows.

Downloads: 0 This Week

Last Update: 2015-12-24
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