mirror of https://gitee.com/openkylin/linux.git
tcp_bbr: adapt cwnd based on ack aggregation estimation
Aggregation effects are extremely common with wifi, cellular, and cable modem link technologies, ACK decimation in middleboxes, and LRO and GRO in receiving hosts. The aggregation can happen in either direction, data or ACKs, but in either case the aggregation effect is visible to the sender in the ACK stream. Previously BBR's sending was often limited by cwnd under severe ACK aggregation/decimation because BBR sized the cwnd at 2*BDP. If packets were acked in bursts after long delays (e.g. one ACK acking 5*BDP after 5*RTT), BBR's sending was halted after sending 2*BDP over 2*RTT, leaving the bottleneck idle for potentially long periods. Note that loss-based congestion control does not have this issue because when facing aggregation it continues increasing cwnd after bursts of ACKs, growing cwnd until the buffer is full. To achieve good throughput in the presence of aggregation effects, this algorithm allows the BBR sender to put extra data in flight to keep the bottleneck utilized during silences in the ACK stream that it has evidence to suggest were caused by aggregation. A summary of the algorithm: when a burst of packets are acked by a stretched ACK or a burst of ACKs or both, BBR first estimates the expected amount of data that should have been acked, based on its estimated bandwidth. Then the surplus ("extra_acked") is recorded in a windowed-max filter to estimate the recent level of observed ACK aggregation. Then cwnd is increased by the ACK aggregation estimate. The larger cwnd avoids BBR being cwnd-limited in the face of ACK silences that recent history suggests were caused by aggregation. As a sanity check, the ACK aggregation degree is upper-bounded by the cwnd (at the time of measurement) and a global max of BW * 100ms. The algorithm is further described by the following presentation: https://datatracker.ietf.org/meeting/101/materials/slides-101-iccrg-an-update-on-bbr-work-at-google-00 In our internal testing, we observed a significant increase in BBR throughput (measured using netperf), in a basic wifi setup. - Host1 (sender on ethernet) -> AP -> Host2 (receiver on wifi) - 2.4 GHz -> BBR before: ~73 Mbps; BBR after: ~102 Mbps; CUBIC: ~100 Mbps - 5.0 GHz -> BBR before: ~362 Mbps; BBR after: ~593 Mbps; CUBIC: ~601 Mbps Also, this code is running globally on YouTube TCP connections and produced significant bandwidth increases for YouTube traffic. This is based on Ian Swett's max_ack_height_ algorithm from the QUIC BBR implementation. Signed-off-by: Priyaranjan Jha <priyarjha@google.com> Signed-off-by: Neal Cardwell <ncardwell@google.com> Signed-off-by: Yuchung Cheng <ycheng@google.com> Signed-off-by: David S. Miller <davem@davemloft.net>
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@ -139,8 +139,8 @@ struct inet_connection_sock {
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} icsk_mtup;
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u32 icsk_user_timeout;
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u64 icsk_ca_priv[88 / sizeof(u64)];
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#define ICSK_CA_PRIV_SIZE (11 * sizeof(u64))
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u64 icsk_ca_priv[104 / sizeof(u64)];
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#define ICSK_CA_PRIV_SIZE (13 * sizeof(u64))
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};
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#define ICSK_TIME_RETRANS 1 /* Retransmit timer */
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@ -115,6 +115,14 @@ struct bbr {
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unused_b:5;
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u32 prior_cwnd; /* prior cwnd upon entering loss recovery */
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u32 full_bw; /* recent bw, to estimate if pipe is full */
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/* For tracking ACK aggregation: */
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u64 ack_epoch_mstamp; /* start of ACK sampling epoch */
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u16 extra_acked[2]; /* max excess data ACKed in epoch */
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u32 ack_epoch_acked:20, /* packets (S)ACKed in sampling epoch */
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extra_acked_win_rtts:5, /* age of extra_acked, in round trips */
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extra_acked_win_idx:1, /* current index in extra_acked array */
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unused_c:6;
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};
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#define CYCLE_LEN 8 /* number of phases in a pacing gain cycle */
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@ -182,6 +190,15 @@ static const u32 bbr_lt_bw_diff = 4000 / 8;
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/* If we estimate we're policed, use lt_bw for this many round trips: */
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static const u32 bbr_lt_bw_max_rtts = 48;
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/* Gain factor for adding extra_acked to target cwnd: */
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static const int bbr_extra_acked_gain = BBR_UNIT;
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/* Window length of extra_acked window. */
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static const u32 bbr_extra_acked_win_rtts = 5;
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/* Max allowed val for ack_epoch_acked, after which sampling epoch is reset */
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static const u32 bbr_ack_epoch_acked_reset_thresh = 1U << 20;
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/* Time period for clamping cwnd increment due to ack aggregation */
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static const u32 bbr_extra_acked_max_us = 100 * 1000;
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static void bbr_check_probe_rtt_done(struct sock *sk);
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/* Do we estimate that STARTUP filled the pipe? */
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@ -208,6 +225,16 @@ static u32 bbr_bw(const struct sock *sk)
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return bbr->lt_use_bw ? bbr->lt_bw : bbr_max_bw(sk);
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}
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/* Return maximum extra acked in past k-2k round trips,
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* where k = bbr_extra_acked_win_rtts.
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*/
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static u16 bbr_extra_acked(const struct sock *sk)
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{
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struct bbr *bbr = inet_csk_ca(sk);
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return max(bbr->extra_acked[0], bbr->extra_acked[1]);
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}
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/* Return rate in bytes per second, optionally with a gain.
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* The order here is chosen carefully to avoid overflow of u64. This should
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* work for input rates of up to 2.9Tbit/sec and gain of 2.89x.
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@ -305,6 +332,8 @@ static void bbr_cwnd_event(struct sock *sk, enum tcp_ca_event event)
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if (event == CA_EVENT_TX_START && tp->app_limited) {
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bbr->idle_restart = 1;
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bbr->ack_epoch_mstamp = tp->tcp_mstamp;
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bbr->ack_epoch_acked = 0;
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/* Avoid pointless buffer overflows: pace at est. bw if we don't
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* need more speed (we're restarting from idle and app-limited).
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*/
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@ -418,6 +447,22 @@ static u32 bbr_packets_in_net_at_edt(struct sock *sk, u32 inflight_now)
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return inflight_at_edt - interval_delivered;
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}
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/* Find the cwnd increment based on estimate of ack aggregation */
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static u32 bbr_ack_aggregation_cwnd(struct sock *sk)
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{
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u32 max_aggr_cwnd, aggr_cwnd = 0;
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if (bbr_extra_acked_gain && bbr_full_bw_reached(sk)) {
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max_aggr_cwnd = ((u64)bbr_bw(sk) * bbr_extra_acked_max_us)
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/ BW_UNIT;
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aggr_cwnd = (bbr_extra_acked_gain * bbr_extra_acked(sk))
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>> BBR_SCALE;
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aggr_cwnd = min(aggr_cwnd, max_aggr_cwnd);
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}
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return aggr_cwnd;
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}
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/* An optimization in BBR to reduce losses: On the first round of recovery, we
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* follow the packet conservation principle: send P packets per P packets acked.
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* After that, we slow-start and send at most 2*P packets per P packets acked.
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@ -478,9 +523,15 @@ static void bbr_set_cwnd(struct sock *sk, const struct rate_sample *rs,
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if (bbr_set_cwnd_to_recover_or_restore(sk, rs, acked, &cwnd))
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goto done;
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/* If we're below target cwnd, slow start cwnd toward target cwnd. */
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target_cwnd = bbr_bdp(sk, bw, gain);
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/* Increment the cwnd to account for excess ACKed data that seems
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* due to aggregation (of data and/or ACKs) visible in the ACK stream.
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*/
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target_cwnd += bbr_ack_aggregation_cwnd(sk);
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target_cwnd = bbr_quantization_budget(sk, target_cwnd, gain);
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/* If we're below target cwnd, slow start cwnd toward target cwnd. */
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if (bbr_full_bw_reached(sk)) /* only cut cwnd if we filled the pipe */
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cwnd = min(cwnd + acked, target_cwnd);
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else if (cwnd < target_cwnd || tp->delivered < TCP_INIT_CWND)
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@ -745,6 +796,67 @@ static void bbr_update_bw(struct sock *sk, const struct rate_sample *rs)
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}
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}
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/* Estimates the windowed max degree of ack aggregation.
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* This is used to provision extra in-flight data to keep sending during
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* inter-ACK silences.
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*
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* Degree of ack aggregation is estimated as extra data acked beyond expected.
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*
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* max_extra_acked = "maximum recent excess data ACKed beyond max_bw * interval"
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* cwnd += max_extra_acked
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*
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* Max extra_acked is clamped by cwnd and bw * bbr_extra_acked_max_us (100 ms).
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* Max filter is an approximate sliding window of 5-10 (packet timed) round
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* trips.
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*/
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static void bbr_update_ack_aggregation(struct sock *sk,
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const struct rate_sample *rs)
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{
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u32 epoch_us, expected_acked, extra_acked;
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struct bbr *bbr = inet_csk_ca(sk);
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struct tcp_sock *tp = tcp_sk(sk);
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if (!bbr_extra_acked_gain || rs->acked_sacked <= 0 ||
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rs->delivered < 0 || rs->interval_us <= 0)
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return;
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if (bbr->round_start) {
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bbr->extra_acked_win_rtts = min(0x1F,
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bbr->extra_acked_win_rtts + 1);
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if (bbr->extra_acked_win_rtts >= bbr_extra_acked_win_rtts) {
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bbr->extra_acked_win_rtts = 0;
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bbr->extra_acked_win_idx = bbr->extra_acked_win_idx ?
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0 : 1;
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bbr->extra_acked[bbr->extra_acked_win_idx] = 0;
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}
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}
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/* Compute how many packets we expected to be delivered over epoch. */
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epoch_us = tcp_stamp_us_delta(tp->delivered_mstamp,
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bbr->ack_epoch_mstamp);
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expected_acked = ((u64)bbr_bw(sk) * epoch_us) / BW_UNIT;
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/* Reset the aggregation epoch if ACK rate is below expected rate or
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* significantly large no. of ack received since epoch (potentially
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* quite old epoch).
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*/
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if (bbr->ack_epoch_acked <= expected_acked ||
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(bbr->ack_epoch_acked + rs->acked_sacked >=
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bbr_ack_epoch_acked_reset_thresh)) {
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bbr->ack_epoch_acked = 0;
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bbr->ack_epoch_mstamp = tp->delivered_mstamp;
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expected_acked = 0;
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}
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/* Compute excess data delivered, beyond what was expected. */
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bbr->ack_epoch_acked = min_t(u32, 0xFFFFF,
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bbr->ack_epoch_acked + rs->acked_sacked);
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extra_acked = bbr->ack_epoch_acked - expected_acked;
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extra_acked = min(extra_acked, tp->snd_cwnd);
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if (extra_acked > bbr->extra_acked[bbr->extra_acked_win_idx])
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bbr->extra_acked[bbr->extra_acked_win_idx] = extra_acked;
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}
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/* Estimate when the pipe is full, using the change in delivery rate: BBR
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* estimates that STARTUP filled the pipe if the estimated bw hasn't changed by
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* at least bbr_full_bw_thresh (25%) after bbr_full_bw_cnt (3) non-app-limited
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@ -899,6 +1011,7 @@ static void bbr_update_gains(struct sock *sk)
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static void bbr_update_model(struct sock *sk, const struct rate_sample *rs)
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{
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bbr_update_bw(sk, rs);
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bbr_update_ack_aggregation(sk, rs);
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bbr_update_cycle_phase(sk, rs);
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bbr_check_full_bw_reached(sk, rs);
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bbr_check_drain(sk, rs);
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@ -950,6 +1063,13 @@ static void bbr_init(struct sock *sk)
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bbr_reset_lt_bw_sampling(sk);
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bbr_reset_startup_mode(sk);
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bbr->ack_epoch_mstamp = tp->tcp_mstamp;
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bbr->ack_epoch_acked = 0;
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bbr->extra_acked_win_rtts = 0;
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bbr->extra_acked_win_idx = 0;
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bbr->extra_acked[0] = 0;
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bbr->extra_acked[1] = 0;
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cmpxchg(&sk->sk_pacing_status, SK_PACING_NONE, SK_PACING_NEEDED);
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}
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