Workload scheduling patterns in distributed environment.
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The following metrics are often used as scheduling objectives for a workload scheduling strategy: load balancing, economic principles, time horizon minimization, and quality of service (QoS).
A hosting platform can take one or more of three actions during an overload:
- add capacity to the application by allocating idle or under-used servers
- turn away excess requests and preferentially service only “important” requests
- degrade the performance of admitted requests in order to service a larger number of aggregate requests