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Increasing scale and the need for rapid response to changing requirements are hard to meet with current monolithic cluster scheduler architectures. This restricts the rate at which new features can be deployed, decreases efficiency and utilization, and will eventually limit cluster growth. We present a novel approach to address these needs using parallelism, shared state, and lock-free optimistic concurrency control. We compare this approach to existing cluster scheduler designs, evaluate howdoi:10.1145/2465351.2465386 dblp:conf/eurosys/SchwarzkopfKAW13 fatcat:onvfyrf6ybbobgplgtg6eyndcm