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Workload management is a process for determining the proper workload distributions in order to provide optimal performance for applications and users.
It provides the organization with the capacity to control or micromanage where each work request is run in order to maximize workload throughput and enhance performance by making sure that no single processing node is overtaxed while others are underutilized.
Workload management is the process of distributing the different workloads that a system handles intelligently. For example, servers connect to multiple clients who are using different applications at the same time and all of them are expecting for consistent execution times and predictable access to network resources and databases.
The workload manager of the system fulfills these expectations by controlling access of the workload to system resources such as computing power, memory and I/O units through prioritization or other algorithms specified by the system administrator. Some workloads are given more I/O operations and less computing power while others the reverse; this is based entirely on the type of workload.
The workload manager also ensures that workloads are distributed properly among available execution units or servers. So in a simple web application, workflow with thousands of users at the same time, there are multiple servers that must share the load evenly which is controlled by the workload manager or meta-schedulers. In cloud computing this is called automatic load balancing.