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Job InventoryParallel ExecutionsJOC CockpitControllerAgent



CoresMemoryStorageCoresMemoryStorageCoresMemoryStorage
Small< 1 000< 1002-4512 MB6 GB2250 256 MB5 GB2100 MB5 GB
Medium< 20 000< 1 0002-41 GB10 GB2-41 GB10 GB2-41 GB10 GB
Large>= 20 000>= 1 0004-82 GB10 GB4-84 GB10 GB4-84 GB10 GB

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  • Impact
    • The number of parallel orders and jobs increases memory consumption of an active Controller instance and the relevant Agents.
      • The JOC Cockpit can be operated from 128 512 MB heap size. This value should be increased if more users are working in parallel with JOC Cockpit or if a larger number of orders are available in the JS7 - Daily Plan.
      • The Controller can be operated starting from 128 256 MB memory. Higher parallelism of orders and jobs will require higher values, e.g. for 100 000 orders approx. 4 GB will be required.
      • The Agent has a footprint of about 100 MB memory. As with the Controller higher parallelism of orders and jobs will push this value. As a rule of thumb 2 GB main memory should be sufficient to execute 5 000 jobs in parallel on an Agent.
    • Refer to the JS7 - FAQ - Which Java Options are recommended article for default values and details how to specify memory consumption.
  • Recommendations
    • Calculate 500 MB for JOC Cockpit for 5 to 10 parallel users. Calculate 2 GB each for a Controller and Agent if < 50 000 task executions per day and < 5000 parallel task executions are performed. You can reduce the values for Controller and Agent to 500 MB if < 10 000 task executions per day and < 1000 parallel task executions are performed.

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