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AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments
In the recently evolving serverless framework Knative a request-based policy is proposed, where the algorithm scales resources by a configured maximum number of requests that can be processed in parallel per instance, the so-called concurrency.
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