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Workload tiering is the practice of splitting up processing workloads for a given system. It is often associated with tiered storage, where a system uses a variety of storage devices and storage destinations to split up data workload and storage tasking. This can make processes more efficient, put less strain on particular servers or components, or otherwise level out system demands.
IT experts generally define workload as the amount of processing during a given time frame. Workload tiering is one of several workload management principles that allow better distribution of this processing delegation, for example, segregating Web, application and data tiers.
The emergence of modern cloud computing and network virtualization has led to ever more complex systems that need more kinds of network monitoring and data traffic management in order to prevent bottlenecks, CPU contention, server overload and other issues. With a high degree of collaborative computing involved, workload tiering and other strategies allow IT experts to enhance a system design, to allow it to do more, and work better, under pressure.