Workload Pattern

Workload scheduling patterns in distributed environment.

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Overview

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).

Patterns

Overload Control

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

Shuffle Sharding

Heavy Tail Tolerant

References

• Google Cloud Platform SLA