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An inference engine using a continuous batching strategy is actively processing a set of user requests. In the brief interval between two processing iterations, the scheduler successfully incorporates a newly arrived request into the active batch. What is the most critical condition that must have been met for the scheduler to make this decision?
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Ch.5 Inference - Foundations of Large Language Models
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Queueing Requests in Continuous Batching
Dynamic Request Scheduling Scenario
An inference engine using a continuous batching strategy is actively processing a set of user requests. In the brief interval between two processing iterations, the scheduler successfully incorporates a newly arrived request into the active batch. What is the most critical condition that must have been met for the scheduler to make this decision?
In a system using continuous batching, a new user request that arrives while an existing batch is being processed must wait until all requests in that current batch are fully completed before it can be considered for processing.