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A Novel Flow Network Graph Based Scheduling Approach in K8S

A Novel Flow Network Graph Based Scheduling Approach in K8S

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Today’s Kubernetes clusters can comprise of 5,000-10,000 nodes, increase by an order of magnitude from original design specs. The default Kubernetes scheduler dates back from earlier more modest deployments. It is queue-based, processing unscheduled pods in a sequential fashion. For a large Kubernetes cluster, such scheduler processing logic can introduce long, even unbounded scheduling latencies, negatively affecting overall throughput for workload deployments. This talk outlines how Kubernetes is a victim of its own success, scheduling-wise. It lays out the current pod queuing challenges and describes a novel scheduling approach based on Flow Network Graph technique, enabling low workload scheduling latencies at scale.
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