| // SPDX-License-Identifier: GPL-2.0-or-later |
| /* |
| * Copyright (c) 2005 The University of Waikato, Hamilton, New Zealand. |
| * Copyright (c) 2005 Ian McDonald <ian.mcdonald@jandi.co.nz> |
| * Copyright (c) 2005 Arnaldo Carvalho de Melo <acme@conectiva.com.br> |
| * Copyright (c) 2003 Nils-Erik Mattsson, Joacim Haggmark, Magnus Erixzon |
| */ |
| |
| #include <linux/module.h> |
| #include "../../dccp.h" |
| #include "tfrc.h" |
| |
| #define TFRC_CALC_X_ARRSIZE 500 |
| #define TFRC_CALC_X_SPLIT 50000 /* 0.05 * 1000000, details below */ |
| #define TFRC_SMALLEST_P (TFRC_CALC_X_SPLIT/TFRC_CALC_X_ARRSIZE) |
| |
| /* |
| TFRC TCP Reno Throughput Equation Lookup Table for f(p) |
| |
| The following two-column lookup table implements a part of the TCP throughput |
| equation from [RFC 3448, sec. 3.1]: |
| |
| s |
| X_calc = -------------------------------------------------------------- |
| R * sqrt(2*b*p/3) + (3 * t_RTO * sqrt(3*b*p/8) * (p + 32*p^3)) |
| |
| Where: |
| X is the transmit rate in bytes/second |
| s is the packet size in bytes |
| R is the round trip time in seconds |
| p is the loss event rate, between 0 and 1.0, of the number of loss |
| events as a fraction of the number of packets transmitted |
| t_RTO is the TCP retransmission timeout value in seconds |
| b is the number of packets acknowledged by a single TCP ACK |
| |
| We can assume that b = 1 and t_RTO is 4 * R. The equation now becomes: |
| |
| s |
| X_calc = ------------------------------------------------------- |
| R * sqrt(p*2/3) + (12 * R * sqrt(p*3/8) * (p + 32*p^3)) |
| |
| which we can break down into: |
| |
| s |
| X_calc = --------- |
| R * f(p) |
| |
| where f(p) is given for 0 < p <= 1 by: |
| |
| f(p) = sqrt(2*p/3) + 12 * sqrt(3*p/8) * (p + 32*p^3) |
| |
| Since this is kernel code, floating-point arithmetic is avoided in favour of |
| integer arithmetic. This means that nearly all fractional parameters are |
| scaled by 1000000: |
| * the parameters p and R |
| * the return result f(p) |
| The lookup table therefore actually tabulates the following function g(q): |
| |
| g(q) = 1000000 * f(q/1000000) |
| |
| Hence, when p <= 1, q must be less than or equal to 1000000. To achieve finer |
| granularity for the practically more relevant case of small values of p (up to |
| 5%), the second column is used; the first one ranges up to 100%. This split |
| corresponds to the value of q = TFRC_CALC_X_SPLIT. At the same time this also |
| determines the smallest resolution possible with this lookup table: |
| |
| TFRC_SMALLEST_P = TFRC_CALC_X_SPLIT / TFRC_CALC_X_ARRSIZE |
| |
| The entire table is generated by: |
| for(i=0; i < TFRC_CALC_X_ARRSIZE; i++) { |
| lookup[i][0] = g((i+1) * 1000000/TFRC_CALC_X_ARRSIZE); |
| lookup[i][1] = g((i+1) * TFRC_CALC_X_SPLIT/TFRC_CALC_X_ARRSIZE); |
| } |
| |
| With the given configuration, we have, with M = TFRC_CALC_X_ARRSIZE-1, |
| lookup[0][0] = g(1000000/(M+1)) = 1000000 * f(0.2%) |
| lookup[M][0] = g(1000000) = 1000000 * f(100%) |
| lookup[0][1] = g(TFRC_SMALLEST_P) = 1000000 * f(0.01%) |
| lookup[M][1] = g(TFRC_CALC_X_SPLIT) = 1000000 * f(5%) |
| |
| In summary, the two columns represent f(p) for the following ranges: |
| * The first column is for 0.002 <= p <= 1.0 |
| * The second column is for 0.0001 <= p <= 0.05 |
| Where the columns overlap, the second (finer-grained) is given preference, |
| i.e. the first column is used only for p >= 0.05. |
| */ |
| static const u32 tfrc_calc_x_lookup[TFRC_CALC_X_ARRSIZE][2] = { |
| { 37172, 8172 }, |
| { 53499, 11567 }, |
| { 66664, 14180 }, |
| { 78298, 16388 }, |
| { 89021, 18339 }, |
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| { 108858, 21738 }, |
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| { 127474, 24693 }, |
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| { 171919, 30935 }, |
| { 180704, 32049 }, |
| { 189502, 33130 }, |
| { 198328, 34180 }, |
| { 207194, 35202 }, |
| { 216114, 36198 }, |
| { 225097, 37172 }, |
| { 234153, 38123 }, |
| { 243294, 39055 }, |
| { 252527, 39968 }, |
| { 261861, 40864 }, |
| { 271305, 41743 }, |
| { 280866, 42607 }, |
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| { 238346244, 269881 }, |
| { 239994613, 270355 }, |
| { 241651183, 270830 }, |
| { 243315981, 271305 } |
| }; |
| |
| /* return largest index i such that fval <= lookup[i][small] */ |
| static inline u32 tfrc_binsearch(u32 fval, u8 small) |
| { |
| u32 try, low = 0, high = TFRC_CALC_X_ARRSIZE - 1; |
| |
| while (low < high) { |
| try = (low + high) / 2; |
| if (fval <= tfrc_calc_x_lookup[try][small]) |
| high = try; |
| else |
| low = try + 1; |
| } |
| return high; |
| } |
| |
| /** |
| * tfrc_calc_x - Calculate the send rate as per section 3.1 of RFC3448 |
| * @s: packet size in bytes |
| * @R: RTT scaled by 1000000 (i.e., microseconds) |
| * @p: loss ratio estimate scaled by 1000000 |
| * |
| * Returns X_calc in bytes per second (not scaled). |
| */ |
| u32 tfrc_calc_x(u16 s, u32 R, u32 p) |
| { |
| u16 index; |
| u32 f; |
| u64 result; |
| |
| /* check against invalid parameters and divide-by-zero */ |
| BUG_ON(p > 1000000); /* p must not exceed 100% */ |
| BUG_ON(p == 0); /* f(0) = 0, divide by zero */ |
| if (R == 0) { /* possible divide by zero */ |
| DCCP_CRIT("WARNING: RTT is 0, returning maximum X_calc."); |
| return ~0U; |
| } |
| |
| if (p <= TFRC_CALC_X_SPLIT) { /* 0.0000 < p <= 0.05 */ |
| if (p < TFRC_SMALLEST_P) { /* 0.0000 < p < 0.0001 */ |
| DCCP_WARN("Value of p (%d) below resolution. " |
| "Substituting %d\n", p, TFRC_SMALLEST_P); |
| index = 0; |
| } else /* 0.0001 <= p <= 0.05 */ |
| index = p/TFRC_SMALLEST_P - 1; |
| |
| f = tfrc_calc_x_lookup[index][1]; |
| |
| } else { /* 0.05 < p <= 1.00 */ |
| index = p/(1000000/TFRC_CALC_X_ARRSIZE) - 1; |
| |
| f = tfrc_calc_x_lookup[index][0]; |
| } |
| |
| /* |
| * Compute X = s/(R*f(p)) in bytes per second. |
| * Since f(p) and R are both scaled by 1000000, we need to multiply by |
| * 1000000^2. To avoid overflow, the result is computed in two stages. |
| * This works under almost all reasonable operational conditions, for a |
| * wide range of parameters. Yet, should some strange combination of |
| * parameters result in overflow, the use of scaled_div32 will catch |
| * this and return UINT_MAX - which is a logically adequate consequence. |
| */ |
| result = scaled_div(s, R); |
| return scaled_div32(result, f); |
| } |
| |
| /** |
| * tfrc_calc_x_reverse_lookup - try to find p given f(p) |
| * @fvalue: function value to match, scaled by 1000000 |
| * |
| * Returns closest match for p, also scaled by 1000000 |
| */ |
| u32 tfrc_calc_x_reverse_lookup(u32 fvalue) |
| { |
| int index; |
| |
| if (fvalue == 0) /* f(p) = 0 whenever p = 0 */ |
| return 0; |
| |
| /* Error cases. */ |
| if (fvalue < tfrc_calc_x_lookup[0][1]) { |
| DCCP_WARN("fvalue %u smaller than resolution\n", fvalue); |
| return TFRC_SMALLEST_P; |
| } |
| if (fvalue > tfrc_calc_x_lookup[TFRC_CALC_X_ARRSIZE - 1][0]) { |
| DCCP_WARN("fvalue %u exceeds bounds!\n", fvalue); |
| return 1000000; |
| } |
| |
| if (fvalue <= tfrc_calc_x_lookup[TFRC_CALC_X_ARRSIZE - 1][1]) { |
| index = tfrc_binsearch(fvalue, 1); |
| return (index + 1) * TFRC_CALC_X_SPLIT / TFRC_CALC_X_ARRSIZE; |
| } |
| |
| /* else ... it must be in the coarse-grained column */ |
| index = tfrc_binsearch(fvalue, 0); |
| return (index + 1) * 1000000 / TFRC_CALC_X_ARRSIZE; |
| } |
| |
| /** |
| * tfrc_invert_loss_event_rate - Compute p so that 10^6 corresponds to 100% |
| * When @loss_event_rate is large, there is a chance that p is truncated to 0. |
| * To avoid re-entering slow-start in that case, we set p = TFRC_SMALLEST_P > 0. |
| */ |
| u32 tfrc_invert_loss_event_rate(u32 loss_event_rate) |
| { |
| if (loss_event_rate == UINT_MAX) /* see RFC 4342, 8.5 */ |
| return 0; |
| if (unlikely(loss_event_rate == 0)) /* map 1/0 into 100% */ |
| return 1000000; |
| return max_t(u32, scaled_div(1, loss_event_rate), TFRC_SMALLEST_P); |
| } |
