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  • ​​Quality of Service (QoS)
  • Fair Queuing

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  1. DATA MOVER
  2. Policy-Based Task orchestration

Priority Management

Last updated 1 year ago

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The user can therefore better manage the use of its storage resources and as such, give more priority to the archiving or retrieval of important data.

The implemented priority management allow prioritization of data movement workflows in preventing that highest priority which consume all available throughput in letting other workflows waiting indefinitely. ​

​​Quality of Service (QoS)

This involves prioritizing data movement operations based on priority level. By assigning different levels of priority to different task, you can ensure that critical demand receive the necessary resources while still providing fair access to non-critical demand.​

Fair Queuing

This involves allocating resources to different request, ensuring that each remaining request keeps an equal share of the remaining resources. This technique can help prevent one data movement workflows taking up all the available resources and ensure that all remaining workflows get fair access.​