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フィードバック制御によるGoroutine起動数の最適化 / optimization-of-goroutine-numbers-by-feedback-control

フィードバック制御によるGoroutine起動数の最適化 / optimization-of-goroutine-numbers-by-feedback-control

2018.11.25 Go Conference 2018 Autumn
https://gocon.jp/
https://gocon.connpass.com/event/109368/
#gocon #gocon_a

monochromegane

November 25, 2018
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  1. ࡾ୐༔հ / Pepabo R&D Institute, GMO Pepabo, Inc.
    2018.11.25 Go Conference 2018 Autumn
    ϑΟʔυόοΫ੍ޚʹΑΔ
    Goroutineىಈ਺ͷ࠷దԽ

    View full-size slide

  2. ϓϦϯγύϧΤϯδχΞ
    ࡾ୐༔հ!NPOPDISPNFHBOF
    (.0ϖύϘגࣜձࣾϖύϘݚڀॴ
    IUUQTCMPHNPOPDISPNFHBOFDPN

    View full-size slide

  3. 1. ฒߦॲཧͱνϡʔχϯάʹ͓͚Δ՝୊
    2. KaburayaΞʔΩςΫνϟ
    3. Goݴޠ΁ͷద༻
    4. ධՁ
    5. ·ͱΊ
    4
    ໨࣍

    View full-size slide

  4. 1.
    ฒߦॲཧͱνϡʔχϯάʹ͓͚Δ՝୊

    View full-size slide

  5. ΦϨ͸ΰϧʔνϯͰߦ͘ʂ

    View full-size slide

  6. • ϚϧνίΞ࣌୅ʹ͓͍ͯɼ୯ҰͷϚγϯͰॲཧੑೳΛ࠷େԽ͢ΔͨΊॲཧͷฒ
    ߦԽ͕ߦΘΕΔɽ
    • ࠷దͳฒߦ਺ΛٻΊ͍ͨɽ
    • ϊϯϒϩοΩϯάͳॲཧํࣜͰ͸࠷దͳฒߦ਺͸CPUίΞ਺ͱ౳͍͠
    • ϒϩοΩϯά͕Ұ෦෼Ͱ΋ൃੜ͢Δ৔߹͸CPUίΞ਺Ҏ্͕࠷దʹͳΔ৔
    ߹͕ଟ͍
    7
    ฒߦॲཧͱ࠷దͳฒߦ਺

    View full-size slide

  7. • ϒϩοΩϯά͕ൃੜ͢Δঢ়گʹ͓͍ͯ͸ɼ࠷దͳฒߦ਺ͷܾఆ͸ґવͱͯ͠։
    ൃऀͷܦݧͱ஍ಓͳνϡʔχϯάʹґଘ
    • nginx, unicornͷworker_processesɼSidekiqͷconcurrencyɼGoroutineͷ
    ىಈ਺ͳͲ
    • ࣮ߦ͞ΕΔॲཧͷಛੑͱϥϯλΠϜ΍εέδϡʔϦϯάͷಛੑΛߟྀͨ͠
    νϡʔχϯά͕ඞཁ
    • ͜ΕΒΛશͯߟྀͨ͠ීวతͳνϡʔχϯάख๏ͷൃݟ͸ࠔ೉
    8
    ࠷దͳฒߦ਺ΛٻΊΔ

    View full-size slide

  8. • ద੾ͳࢦඪ͕બఆͰ͖Ε͹୯७ͳࢦඪͰ΋ޮՌ͕͋Δ
    • Ծ૝αʔόͷ༧ଌతΦʔτεέʔϦϯά (*1)Ͱ͸ɼΞϓϦέʔγϣϯॲཧ಺
    ༰Ͱ͸ͳ͘ɼӡ༻ܦݧ͔Βಘͨαʔό୯ҐͷεϧʔϓοτΛࢦඪͱͨ͠ɽ
    • ʮશࣗಈύϥϝʔλνϡʔχϯά͞Μʯ(*2)Ͱ͸ϝτϦΫεΛҰ఺ʹߜΓε
    ϧʔϓοτ͕࠷େԽ͢Δ஋Λ୳ࡧతʹٻΊͨɽ
    9
    ैདྷख๏
    *1. ࡾ୐ ༔հ, দຊ ྄հ, ྗ෢ ݈࣍, ܀ྛ ݈ଠ࿠, ΞΫηεස౓༧ଌʹجͮ͘Ծ૝αʔόͷܭըతΦʔτεέʔϦϯά, FIT 2018 ୈ17ճ৘ใ
    Պֶٕज़ϑΥʔϥϜ, CL-002, Sep 2018.
    *2. https://github.com/mirakui/tuningsan

    View full-size slide

  9. • ༧ଌతɼ୳ࡧతͳํࣜ͸WebαʔόʔϓϩηεͷΑ͏ʹ௕ظՔಈ͢Δ৔߹ʹ
    ޮՌత͕ͩɼCLIͷΑ͏ͳ୹ظՔಈͰଈ࣌݁Ռ͕ٻΊΒΕΔ৔߹ʹద༻͕೉͠
    ͍
    10
    ैདྷख๏
    • ࢦඪͷݶఆʹՃ͑ɼ൓Ԡత͔ͭޡ͕ࠩগͳ͘ࢦඪ΁௥ै͢Δख๏͕ٻΊΒΕΔ

    View full-size slide

  10. 2.
    KaburayaΞʔΩςΫνϟ

    View full-size slide

  11. • ॲཧ΍ϥϯλΠϜͷಛੑʹґଘͤͣʹɼϚγϯͷෛՙʹԠͯ͡

    ൓Ԡత͔ͭܧଓతʹɼฒߦ਺Λ࠷దԽ͢Δ͜ͱ͸Մೳ͔ʁ
    12
    ຊݚڀͷʮ໰͍ʯ

    View full-size slide

  12. • ॲཧ΍ϥϯλΠϜͷಛੑʹґଘͤͣʹɼϚγϯͷෛՙʹԠͯ͡൓Ԡత͔ͭܧଓ
    తʹɼฒߦ਺Λ࠷దԽ͢Δ
    • 1. ॲཧ΍ϥϯλΠϜΛϒϥοΫϘοΫεͱͯ͠ѻ͍ɼܧଓతʹಈ࡞Λ੍ޚ͢
    Δ࢓૊ΈͰ͋ΔϑΟʔυόοΫ੍ޚΛ༻͍ͯ࠷దͳฒߦ਺ΛٻΊΔ
    • 2. ฒߦ਺ͷ੍ޚʹηϚϑΥΛ༻͍Δ
    • Kaburaya is “ధ໼”. It is japanese arrow with a whistle.
    13
    Kaburaya ΞʔΩςΫνϟ

    View full-size slide

  13. • ໨ඪ஋ͱग़ྗͷϑΟʔυόοΫͷޡࠩΛ༻͍ͯγεςϜͷೖྗΛܾఆ͠ɼग़ྗ
    Λ໨ඪ஋ʹ͚ۙͮΔ
    • ภࠩΛॲཧ͢Δ੍ޚثɼͦͯ͠ೖྗͱग़ྗʹԿΛ༻͍Δ͔ͷઃܭ͕ॏཁ
    14
    ϑΟʔυόοΫ੍ޚ
    ੍ޚث γεςϜ
    ೖྗ ग़ྗ
    ภࠩ
    ϑΟʔυόοΫ
    ໨ඪ஋

    View full-size slide

  14. • ໨ඪ஋ͱͷࠩΛޮ཰తʹղফ͢ΔͨΊͷݹయత੍ޚख๏
    • ൺྫ੍ޚ(P)ɼੵ෼੍ޚ(I)ɼඍ෼੍ޚ(D)ͷ࿨Λೖྗ஋ͱ͢Δ
    15
    PID੍ޚ(1/2)
    ੍ޚث
    ภࠩ
    ໨ඪ஋ 1 Kpe(t)
    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    AAACmHichVG7SgNBFL1ZXzE+ErURbYIhEi3CrAiKVdBCxSYP85AYwu46iUv2xe4kEIM/YGclmErBQiz8Axsbf8AinyApI9hYePcBosF4l9m5c+aeM/dwRUORLUZIx8cNDY+MjvnHAxOTU9PB0MxsztLrpkSzkq7oZkEULKrIGs0ymSm0YJhUUEWF5sXajn2fb1DTknXtkDUNWlKFqiZXZElgCOUPygaNsZVyKELixIlwf8J7SQS8SOqhJziGE9BBgjqoQEEDhrkCAlj4FYEHAgZiJWghZmImO/cUziGA3DpWUawQEK3hv4qnoodqeLY1LYct4SsKLhOZYYiSV3JPeuSFPJA38vmnVsvRsHtp4i66XGqUgxfzmY9/WSruDE6/WQMYIla7nXXII/bVPVot5gd6ZFCBTcebjF4NB7FdS65O4+yql9lKR1vL5JZ00e8NKj+jstZ4l+5SNN3GcfG/h9Of5NbiPInzqfVIYtsbnB8WYQliOJ0NSMAeJCHr9HYJ19DmFrgEt8vtu6Wcz+PMwY/g0l/eDZev
    * Ki
    Z t
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
    % Kd
    de(t)
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    ೖྗ ग़ྗ

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  15. • ൺྫ੍ޚ(P)͸ภࠩʹൺྫ͢Δɽภ͕ࠩେ͖͍৔߹ʹେ͖͘मਖ਼ɽ
    • ੵ෼੍ޚ(I)͸ภࠩͷ૯࿨Λ༻͍ΔɽPͷ࢒ཹภࠩΛղফ͢Δɽ
    • ඍ෼੍ޚ(D)͸ภࠩͷඍ෼Λ༻͍Δɽ֎ཚ౳ʹΑΔٸมಈʹػහʹରॲ͢Δɽ
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    γεςϜ

    ϑΟʔυόοΫ
    ೖྗ ग़ྗ

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  16. 1. ॳظ஋͔ΒϫʔΧʔ਺Λม͑ͳ͍FixController (ൺֱ༻)
    2. CPU࢖༻཰100%Λ໨ඪ஋ͱ͠ɼෆ଍ͨ͠৔߹͸ workerΛ1ͣͭ૿Ճͤ͞Δ SimpleController
    3. CPU࢖༻཰100%Λ໨ඪͱ͠ɼ໨ඪͱͷࠩ෼ͷKഒΛՃ͑Δ PController(ൺྫ੍ޚ)
    4. 3.ͷCPU࢖༻཰ͷ໨ඪ஋Λ90%ͱͨ͠΋ͷ
    5. ௚ۙ3؍ଌ఺ͷฏۉΛ໨ඪ஋ͱͯ͠3؍ଌ͝ͱʹPControllerͷ໨ඪ஋ΛมԽͤ͞ΔDynamicController
    6. ҰఆظؒͷCPU࢖༻཰ͷඪ४ภࠩΛͱͬͯͦΕ͕Ұఆͷ஋ҎԼͩͬͨΒ҆ఆͨ͠ͱΈͳͯ͠ɼworkerΛݮΒ͍ͯ͠
    ͘StabilityController
    7. CPU࢖༻཰Ͱ͸ͳͯ͘CPU࢖༻཰ͷมԽ཰Λݩʹ੍ޚ͢ΔRateController
    8. 5.ͷDynamicControllerΛݩʹఆظͰ͸ͳ͘େ͖ͳมಈ͝ͱʹ໨ඪ஋Λݟ௚͢ํࣜ
    9. 8.ͷDynamicControllerΛݩʹఆৗ࣌ͷෆཁͳworkerΛ࡟ݮ͢Δํࣜ
    10. 9.ͷDynamicControllerΛݩʹมಈͷਫ਼౓ͱ଎౓Λ޲্ͤ͞ΔͨΊʹੵ෼ඍ෼੍ޚΛಋೖ͢Δํࣜ
    17
    ࠷దͳ੍ޚثΛٻΊͯ

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  17. • ઃܭ੍ͨ͠ޚثΛฒߦԽ͞ΕͨλεΫΛܭ
    ࢉࢿݯ্ݶ·Ͱฒྻॲཧ͢Δ؆қతͳγϛϡ
    ϨʔλͰධՁ
    18
    ؆қධՁ
    • λεΫಛੑʹΑͬͯCPU্ݶ͸ҟͳΔ
    • ࠷దͳฒߦ਺͸࣮ߦ࣌ͷΈ൑அͰ͖ΔͨΊ
    CPU࢖༻཰͕ҰఆͱͳΔΑ͏ʹ૿ݮ͕ඞཁ
    • CPU࢖༻཰ͷ૿ݮΛܖػʹ໨ඪ஋Λݟ௚͢
    ͜ͱ͕௥ै଎౓ͷ޲্ʹޮՌ͋Γ

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  18. 19
    Kaburaya: DynamicTargetController
    ภࠩ
    ໨ඪ஋
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    (PBQQ

    ϑΟʔυόοΫ
    4FNBQIPSF $166TBHF
    มԽ཰
    • ฒྻॲཧͷݶ౓ͱͳΔCPU࢖༻཰Λ࣮ߦ࣌ʹଊ͑ΔͨΊ໨ඪ஋ΛมԽ཰͔Βߋ
    ৽͢Δೋॏϧʔϓ੍ޚثΛ࣮૷ɽ
    • ಺ଆͷϧʔϓ͸ฒߦ਺ΛೖྗɼCPU࢖༻཰Λग़ྗͱ͢ΔPID੍ޚث

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  19. • ༧ߘʮKaburaya: CPUෛՙʹԠͯ͡ܧଓతʹ্ݶ஋Λ࠷దԽ͢ΔಈతηϚ
    ϑΥʯͱͯ͠ୈ3ճWeb System Architectureݚڀձˏ౦ژ #wsaݚͰൃද
    • https://blog.monochromegane.com/blog/2018/11/25/wsa_3_kaburaya/
    • https://speakerdeck.com/monochromegane/wsa-3-kaburaya
    20
    ༧ߘ

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  20. 3.
    Goݴޠ΁ͷద༻

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  21. 22
    • CPUό΢ϯυͳॲཧͱͯ͠ϑΟϘφον(35)ͱ(10)ΛҰఆճ਺ٻΊΔॲཧ࣌ؒΛܭଌ
    • CPUΛ100%࢖͍੾ΔΑ͏ͳ৔߹͸ίΞ਺Ҏ্ͷฒߦ਺͸ੑೳ޲্͠ͳ͍
    • CPUʹ༨༟͕͋Δ৔߹͸ίΞ਺Ҏ্ͷฒߦ਺Ͱ΋ੑೳ޲্ͷ༨஍͕͋Δ

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  22. 23
    • ϒϩοΩϯάॲཧͱͯ͠Sleep΍NetworkΛҰఆճ਺ߦ͏ॲཧ࣌ؒΛܭଌ
    • ඇৗʹ୹͍SleepͰ͸ίΞ਺Ҏ্ͷฒߦ਺Ͱ΋ੑೳ޲্ͷ༨஍͕͋Δ
    • ωοτϫʔΫॲཧͰ͸଴ͪͷ௕͕͞ฒྻԽͷԸܙΛͳͨ͘͢Ίੑೳ޲্͕ฒߦ਺ʹґଘ

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  23. 24
    • ϥϯλΠϜ͸ٖࣅతͳฒྻԽ΋͘͠͸ϚϧνίΞΛར༻͢ΔฒྻԽΛఏڙ͢Δ͕ɼδϣϒͷಛ
    ੑʹΑͬͯɼλεΫॲཧ࣌ͷCPU࢖༻཰͸CPU্ݶ΋͘͠͸ಛఆͷ࣌఺ͰมԽ͠ͳ͘ͳΔ

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  24. • λεΫͷಛੑɼϥϯλΠϜͷಛੑʹΑͬͯ࠷దͳฒߦ਺͸ҟͳΔɽ
    • ฒྻॲཧͷ݁ՌɼCPU࢖༻཰͕CPU্ݶ·ͨ͸Ұఆ஋Ͱۉߧ͢Δɽ
    25
    ฒߦ਺ͷࢉग़
    • KaburayaΞʔΩςΫνϟͷલఏʹԊ͏͜ͱ͔Βɼ੍ޚثͱͯ͠
    DynamicTargetControllerΛར༻

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  25. Goݴޠʹ͓͚ΔόοϑΝ෇͖νϟϯωϧΛ
    ηϚϑΥͱ͢Δಉ࣮࣌ߦ਺੍ޚ 26
    ฒߦ਺ͷ੍ޚ
    func main() {
    var wg sync.WaitGroup
    sem := make(chan struct{}, 3)
    for i := 0; i < 10; i++ {
    wg.Add(1)
    sem <- struct{}{}
    go func() {
    defer wg.Done()
    defer func() { <-sem }()
    task()
    }()
    }
    wg.Wait()
    close(sem)
    }
    • ηϚϑΥͷ্ݶ஋͕ಈతʹมߋՄೳͰ
    ͋Δ͜ͱ
    • ௨ৗͷηϚϑΥͱಉ༷ʹPૢ࡞ʹ͓͍
    ͯ஋͕ෛʹͳΔ৔߹ʹ࣮ߦ͕ϒϩοΫ
    ͞ΕΔ͜ͱ
    • ͜ΕΒͷ஋ͷมߋ͕ΞτϛοΫʹߦΘ
    ΕΔ͜ͱ
    • ্ݶ஋ΛมߋՄೳͳόοϑΝ෇͖νϟ
    ϯωϧ͕ඞཁ

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  26. • ೖྗͱग़ྗͷೋͭͷνϟϯωϧͱΩϡʔΛ΋ͭߏ଄ମ
    • Ωϡʔͷঢ়ଶʹԠͯ͡ೖྗͱग़ྗͷՄ൱Λ੍ޚ͢Δ
    • Ref: https://github.com/npat-efault/musings/wiki/Elastic-channels
    • Kaburaya༻్Ͱ͸Ωϡʔͷ஋Λར༻͢Δ͜ͱ͸ͳ͍ͷͰΧ΢ϯλͰ୅༻
    27
    όοϑΝ্ݶ஋ΛมߋՄೳͳElasticChannel
    DIBO DIBO
    &MBTUJD$IBOOFM
    2VFVF
    &NQUZ*OPOMZ
    'VMM0VUPOMZ
    0UIFS*O0VU
    $IBOHFMJNJU

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  27. • Kaburaya optimize the number of goroutines by feedback control.
    28
    monochromegane/kaburaya
    func main() {
    sem := kaburaya.NewSem(100 * time.Millisecond)
    var wg sync.WaitGroup
    for i := 0; i < 10; i++ {
    wg.Add(1)
    sem.Wait()
    go func() {
    defer sem.Signal()
    defer wg.Done()
    task()
    }()
    }
    wg.Wait()
    sem.Stop()
    }
    Create semaphore and
    specify time span for
    update the semaphore and
    CPU target.
    Wait for decrement operation.
    Increment operation.
    Stop update the semaphore and CPU target.

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  28. • ߴ଎Խ཰(Speedup): ஞ࣮࣍ߦ࣌ؒͱฒྻ࣮ߦ࣌ؒͷൺ཰
    • ࣮ߦޮ཰(Efficiency): ฒߦ਺͋ͨΓͷߴ଎Խ཰ɽܭࢉࢿݯͷޮ཰ੑࢦඪɽ
    30
    ࠷దͳฒߦ਺ͱ͸
    $ ./score fib 40 64
    [S] 41.20142734s
    [1] 40.94367043s -> Speedup: 1.006301 Efficiency: 1.006301
    [2] 21.138453817s -> Speedup: 1.949144 Efficiency: 0.974572
    [4] 12.296148779s -> Speedup: 3.350764 Efficiency: 0.837691
    [8] 12.371473761s -> Speedup: 3.330450 Efficiency: 0.416306
    [16] 12.385120065s -> Speedup: 3.326686 Efficiency: 0.207918
    • ͳ͓ɼKaburayaͰ͸ฒߦ਺͕૿ݮ͠ɼಛੑ্֎Ε஋ؚ͕·ΕΔ͜ͱ͔Βɼ࣮
    ߦޮ཰ͷฒߦ਺ʹ͸ɼॲཧظؒͷฒߦ਺ͷதԝ஋Λ༻͍Δ

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  29. network(1) * 8192
    31
    $ ./score network 1 8192 2> record.txt
    [S] 18.906590961s
    [1] 18.114622479s -> Speedup: 1.043723 Efficiency: 1.043723
    [2] 8.311113276s -> Speedup: 2.274817 Efficiency: 1.137408
    [4] 3.406973694s -> Speedup: 5.550793 Efficiency: 1.387698
    [8] 1.690554271s -> Speedup: 11.186982 Efficiency: 1.398373
    [16] 920.629201ms -> Speedup: 20.550000 Efficiency: 1.284375
    [32] 664.033522ms -> Speedup: 28.472892 Efficiency: 0.889778
    [64] 655.373022ms -> Speedup: 28.864122 Efficiency: 0.451002
    [K] 738.116568ms -> Speedup: 25.617886 Efficiency: 0.711608
    • K{p,i,d}=0.25ɼDuration=50ms
    • CPU্ݶʹୡ͠ͳ͍λεΫʹରͯ͠ൺֱతଥ౰ͳฒߦ਺ͷ੍ޚ͕ߦ͑ͨɽ

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  30. fib(40) * 64
    32
    $ ./score fib 40 64 2> record.txt
    [S] 42.498952641s
    [1] 42.727265764s -> Speedup: 0.994640 Efficiency: 0.994640
    [2] 21.084712153s -> Speedup: 2.015652 Efficiency: 1.007826
    [4] 11.907186913s -> Speedup: 3.569161 Efficiency: 0.892290
    [8] 12.128384712s -> Speedup: 3.504123 Efficiency: 0.438015
    [16] 11.923092477s -> Speedup: 3.564371 Efficiency: 0.222773
    [32] 11.911846969s -> Speedup: 3.567962 Efficiency: 0.111499
    [64] 11.459039734s -> Speedup: 3.708701 Efficiency: 0.057948
    [K] 13.368050152s -> Speedup: 3.179084 Efficiency: 0.635817
    • K{p,i,d}=0.05ɼDuration=50ms
    • CPU্ݶʹୡ͢ΔλεΫʹରͯ͠ൺֱతଥ౰ͳฒߦ਺ͷ੍ޚ͕ߦ͑ͨɽ
    • λεΫ׬ྃ·ͰͷσΟϨΠʹΑͬͯηϚϑΥ஋ͷ௿ݮ͕ਐΈ͗͢Δ܏޲͋Γ

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  31. fib(15) * 3276800
    33
    $ ./score fib 15 3276800 2> record.txt
    [S] 13.069192052s
    [1] 15.275737367s -> Speedup: 0.855581 Efficiency: 0.855581
    [2] 10.518883281s -> Speedup: 1.242537 Efficiency: 0.621268
    [4] 6.452542685s -> Speedup: 2.025573 Efficiency: 0.506393
    [8] 4.261144318s -> Speedup: 3.067120 Efficiency: 0.383390
    [16] 4.173533581s -> Speedup: 3.131800 Efficiency: 0.195737
    [32] 4.096993901s -> Speedup: 3.190674 Efficiency: 0.099709
    [64] 4.111361424s -> Speedup: 3.179032 Efficiency: 0.049672
    [K] 15.535130172s -> Speedup: 0.841262 Efficiency: 0.052579
    • K{p,i,d}=0.01ɼDuration=50ms
    • CPUෛՙͷগͳ͍େྔͷλεΫʹରͯ͠͸ߴ଎Խ཰ɼ࣮ߦޮ཰ͷ྆໘Ͱࣦഊ
    • ݱ࣮૷Ͱ͸ElasticChannelͷWaitૢ࡞Ͱbuffer0ͷChannel͕ϘτϧωοΫ

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  32. • ϑΟʔυόοΫ੍ޚҰൠʹର͢Δ՝୊
    • ήΠϯ(K{p,i,d})ͷ࠷ద஋ΛٻΊΔඞཁ͕͋Δ
    • σΟϨΠʹΑΔௐ੔ޡࠩΛݮΒ͢ඞཁ͕͋Δ
    • ϑΟʔυόοΫ੍ޚ෼໺ͷϊ΢ϋ΢Λ༗ޮ׆༻ͯ͠ղܾ͍ͨ͠
    • ࣮૷ʹର͢Δ՝୊
    • GoݴޠʹΑΔಈతηϚϑΥͷੑೳ໰୊Λղܾ͢Δඞཁ͕͋Δ
    • System V semaphoreͳͲ௿ϨΠϠ࣮૷Ͱղܾ͍ͨ͠
    34
    ՝୊ͱରԠࢦ਑

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  33. • ॲཧ΍ϥϯλΠϜͷಛੑʹґଘͤͣʹɼϚγϯͷෛՙʹԠͯ͡൓Ԡత͔ͭܧଓ
    తʹɼฒߦ਺Λ࠷దԽ͢Δख๏ͱͯ͠ɼCPUෛՙʹԠͯ͡ܧଓతʹ্ݶ஋Λ࠷
    దԽ͢ΔKaburayaΞʔΩςΫνϟΛGoݴޠʹద༻
    • ฒߦ਺ͷ૿Ճ͕ੑೳʹد༩͢ΔλεΫʹ͓͍ͯ͸ɼଥ౰ͳฒߦ਺Λࢉग़Մೳ
    • ࠓޙ͸՝୊Λղܾͯ͠ਫ਼౓ͱ଎౓Λ޲্ͤ͞ɼݴޠΛ௒͑ͨ൚༻ੑΛ໨ࢦ͢
    • Go
    36
    ·ͱΊ

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