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"As many of us know from bitter experience, the policies provided in extantoperating systems, which are claimed to work well and behave fairly 'on theaverage', often fail to do so in the special cases important to us" [Wulf etal. 1974]. Written in 1974, these words motivated moving policy decisions intouser-space. Today, as warehouse-scale computers (WSCs) have become ubiquitous,it is time to move policy decisions away from individual servers altogether.Built-in policies are complex and often exhibit bad performance at scale.Meanwhile, the highly-controlled WSC setting presents opportunities to improveperformance and predictability.  We propose moving all policy decisions from the OS kernel to the clustermanager (CM), in a new paradigm we call Grape CM. In this design, the role ofthe kernel is reduced to monitoring, sending metrics to the CM, and executingpolicy decisions made by the CM. The CM uses metrics from all kernels acrossthe WSC to make informed policy choices, sending commands back to each kernelin the cluster. We claim that Grape CM will improve performance, transparency,and simplicity. Our initial experiments show how the CM can identify theoptimal set of huge pages for any workload or improve memcached latency by 15%.

Policy/mechanism separation in the Warehouse-Scale OS