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Instead of tracking averaging the load parented by a cfs_rq, we can track entity load directly. With the load for a given cfs_rq then being the sum of its children. To do this we represent the historical contribution to runnable average within each trailing 1024us of execution as the coefficients of a geometric series. We can express this for a given task t as: runnable_sum(t) = \Sum u_i * y^i, runnable_avg_period(t) = \Sum 1024 * y^i load(t) = weight_t * runnable_sum(t) / runnable_avg_period(t) Where: u_i is the usage in the last i`th 1024us period (approximately 1ms) ~ms and y is chosen such that y^k = 1/2. We currently choose k to be 32 which roughly translates to about a sched period. Signed-off-by:Paul Turner <pjt@google.com> Reviewed-by:
Ben Segall <bsegall@google.com> Signed-off-by:
Peter Zijlstra <a.p.zijlstra@chello.nl> Link: http://lkml.kernel.org/r/20120823141506.372695337@google.com Signed-off-by:
Ingo Molnar <mingo@kernel.org>
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