/* * include/proto/freq_ctr.h * This file contains macros and inline functions for frequency counters. * * Copyright (C) 2000-2014 Willy Tarreau - w@1wt.eu * * This library is free software; you can redistribute it and/or * modify it under the terms of the GNU Lesser General Public * License as published by the Free Software Foundation, version 2.1 * exclusively. * * This library is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public * License along with this library; if not, write to the Free Software * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA */ #ifndef _PROTO_FREQ_CTR_H #define _PROTO_FREQ_CTR_H #include #include #include /* Rotate a frequency counter when current period is over. Must not be called * during a valid period. It is important that it correctly initializes a null * area. */ static inline void rotate_freq_ctr(struct freq_ctr *ctr) { ctr->prev_ctr = ctr->curr_ctr; if (likely(now.tv_sec - ctr->curr_sec != 1)) { /* we missed more than one second */ ctr->prev_ctr = 0; } ctr->curr_sec = now.tv_sec; ctr->curr_ctr = 0; /* leave it at the end to help gcc optimize it away */ } /* Update a frequency counter by incremental units. It is automatically * rotated if the period is over. It is important that it correctly initializes * a null area. */ static inline void update_freq_ctr(struct freq_ctr *ctr, unsigned int inc) { if (likely(ctr->curr_sec == now.tv_sec)) { ctr->curr_ctr += inc; return; } rotate_freq_ctr(ctr); ctr->curr_ctr = inc; /* Note: later we may want to propagate the update to other counters */ } /* Rotate a frequency counter when current period is over. Must not be called * during a valid period. It is important that it correctly initializes a null * area. This one works on frequency counters which have a period different * from one second. */ static inline void rotate_freq_ctr_period(struct freq_ctr_period *ctr, unsigned int period) { ctr->prev_ctr = ctr->curr_ctr; ctr->curr_tick += period; if (likely(now_ms - ctr->curr_tick >= period)) { /* we missed at least two periods */ ctr->prev_ctr = 0; ctr->curr_tick = now_ms; } ctr->curr_ctr = 0; /* leave it at the end to help gcc optimize it away */ } /* Update a frequency counter by incremental units. It is automatically * rotated if the period is over. It is important that it correctly initializes * a null area. This one works on frequency counters which have a period * different from one second. */ static inline void update_freq_ctr_period(struct freq_ctr_period *ctr, unsigned int period, unsigned int inc) { if (likely(now_ms - ctr->curr_tick < period)) { ctr->curr_ctr += inc; return; } rotate_freq_ctr_period(ctr, period); ctr->curr_ctr = inc; /* Note: later we may want to propagate the update to other counters */ } /* Read a frequency counter taking history into account for missing time in * current period. */ unsigned int read_freq_ctr(struct freq_ctr *ctr); /* returns the number of remaining events that can occur on this freq counter * while respecting and taking into account that events are * already known to be pending. Returns 0 if limit was reached. */ unsigned int freq_ctr_remain(struct freq_ctr *ctr, unsigned int freq, unsigned int pend); /* return the expected wait time in ms before the next event may occur, * respecting frequency , and assuming there may already be some pending * events. It returns zero if we can proceed immediately, otherwise the wait * time, which will be rounded down 1ms for better accuracy, with a minimum * of one ms. */ unsigned int next_event_delay(struct freq_ctr *ctr, unsigned int freq, unsigned int pend); /* process freq counters over configurable periods */ unsigned int read_freq_ctr_period(struct freq_ctr_period *ctr, unsigned int period); unsigned int freq_ctr_remain_period(struct freq_ctr_period *ctr, unsigned int period, unsigned int freq, unsigned int pend); /* While the functions above report average event counts per period, we are * also interested in average values per event. For this we use a different * method. The principle is to rely on a long tail which sums the new value * with a fraction of the previous value, resulting in a sliding window of * infinite length depending on the precision we're interested in. * * The idea is that we always keep (N-1)/N of the sum and add the new sampled * value. The sum over N values can be computed with a simple program for a * constant value 1 at each iteration : * * N * ,--- * \ N - 1 e - 1 * > ( --------- )^x ~= N * ----- * / N e * '--- * x = 1 * * Note: I'm not sure how to demonstrate this but at least this is easily * verified with a simple program, the sum equals N * 0.632120 for any N * moderately large (tens to hundreds). * * Inserting a constant sample value V here simply results in : * * sum = V * N * (e - 1) / e * * But we don't want to integrate over a small period, but infinitely. Let's * cut the infinity in P periods of N values. Each period M is exactly the same * as period M-1 with a factor of ((N-1)/N)^N applied. A test shows that given a * large N : * * N - 1 1 * ( ------- )^N ~= --- * N e * * Our sum is now a sum of each factor times : * * N*P P * ,--- ,--- * \ N - 1 e - 1 \ 1 * > v ( --------- )^x ~= VN * ----- * > --- * / N e / e^x * '--- '--- * x = 1 x = 0 * * For P "large enough", in tests we get this : * * P * ,--- * \ 1 e * > --- ~= ----- * / e^x e - 1 * '--- * x = 0 * * This simplifies the sum above : * * N*P * ,--- * \ N - 1 * > v ( --------- )^x = VN * / N * '--- * x = 1 * * So basically by summing values and applying the last result an (N-1)/N factor * we just get N times the values over the long term, so we can recover the * constant value V by dividing by N. * * A value added at the entry of the sliding window of N values will thus be * reduced to 1/e or 36.7% after N terms have been added. After a second batch, * it will only be 1/e^2, or 13.5%, and so on. So practically speaking, each * old period of N values represents only a quickly fading ratio of the global * sum : * * period ratio * 1 36.7% * 2 13.5% * 3 4.98% * 4 1.83% * 5 0.67% * 6 0.25% * 7 0.09% * 8 0.033% * 9 0.012% * 10 0.0045% * * So after 10N samples, the initial value has already faded out by a factor of * 22026, which is quite fast. If the sliding window is 1024 samples wide, it * means that a sample will only count for 1/22k of its initial value after 10k * samples went after it, which results in half of the value it would represent * using an arithmetic mean. The benefit of this method is that it's very cheap * in terms of computations when N is a power of two. This is very well suited * to record response times as large values will fade out faster than with an * arithmetic mean and will depend on sample count and not time. * * Demonstrating all the above assumptions with maths instead of a program is * left as an exercise for the reader. */ /* Adds sample value to sliding window sum configured for samples. * The sample is returned. Better if is a power of two. */ static inline unsigned int swrate_add(unsigned int *sum, unsigned int n, unsigned int v) { return *sum = *sum * (n - 1) / n + v; } /* Returns the average sample value for the sum over a sliding window of * samples. Better if is a power of two. It must be the same as the * one used above in all additions. */ static inline unsigned int swrate_avg(unsigned int sum, unsigned int n) { return (sum + n - 1) / n; } #endif /* _PROTO_FREQ_CTR_H */ /* * Local variables: * c-indent-level: 8 * c-basic-offset: 8 * End: */