An implemented Kubernetes scheduler that scores nodes by cached container layers and adaptively weighs layer sharing against load balance reduces container deployment cost in a small edge-cluster test.
Latency-aware container scheduling in edge cluster upgrades: A deep reinforcement learning approach,
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LRScheduler: A Layer-aware and Resource-adaptive Container Scheduler in Edge Computing
An implemented Kubernetes scheduler that scores nodes by cached container layers and adaptively weighs layer sharing against load balance reduces container deployment cost in a small edge-cluster test.