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The System resources page gives users information about the hardware resources available for use in their Partek® Flow® Partek Flow server.
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The Queue status section indicates the number tasks currently running as well as the number of waiting tasks. These include tasks that are waiting for system resources to be available or for an upstream task to complete. Queue will empty by gives an estimated time of completion for all queued tasks. Click on the 
button to display queued tasks.
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Name: worker’s identifier (IP address or name)
CPU usage: the computational load of the worker process
Memory usage: the memory usage of the worker process
Machine capacity: indicates the number of cores and amount of RAM available to the worker
Uptime: the duration that the worker has been running
Type: the type of worker (described below)
Actions: selecting the
stops a worker while selecting 
starts a worker (Figure 2)
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Partek Flow supports two types of workers: Partek Flow is installed on the server while those labeled worker run on a remote machine. When the server is configured to accept work, its type is changed to internal to differentiate it from other workers. Multiple workers can be deployed to handle computationally-intensive tasks or to help alleviate a long queue of tasks. Figure 3 shows an example with five active workers.
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