Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
L4周辺の高機能通信路とネットワークの階層構造の再考
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Hiroki Watanabe (nelio)
June 25, 2018
Technology
1
830
L4周辺の高機能通信路とネットワークの階層構造の再考
2016-06-25 に TECH PLAY SHIBUYA で行われた『Turing Comple FM ミートアップ』の LT 枠で発表したスライドです.
Hiroki Watanabe (nelio)
June 25, 2018
Tweet
Share
More Decks by Hiroki Watanabe (nelio)
See All by Hiroki Watanabe (nelio)
階層独立性の高いプロトコルスタックの設計と実装
negli0
0
1.2k
Other Decks in Technology
See All in Technology
セキュリティについて学ぶ会 / 2026 01 25 Takamatsu WordPress Meetup
rocketmartue
1
300
ブロックテーマでサイトをリニューアルした話 / 2026-01-31 Kansai WordPress Meetup
torounit
0
460
小さく始めるBCP ― 多プロダクト環境で始める最初の一歩
kekke_n
1
400
AWS Network Firewall Proxyを触ってみた
nagisa53
1
220
Introduction to Bill One Development Engineer
sansan33
PRO
0
360
ファインディの横断SREがTakumi byGMOと取り組む、セキュリティと開発スピードの両立
rvirus0817
1
1.3k
SREが向き合う大規模リアーキテクチャ 〜信頼性とアジリティの両立〜
zepprix
0
440
15 years with Rails and DDD (AI Edition)
andrzejkrzywda
0
190
Introduction to Sansan, inc / Sansan Global Development Center, Inc.
sansan33
PRO
0
3k
Sansan Engineering Unit 紹介資料
sansan33
PRO
1
3.8k
ClickHouseはどのように大規模データを活用したAIエージェントを全社展開しているのか
mikimatsumoto
0
220
We Built for Predictability; The Workloads Didn’t Care
stahnma
0
140
Featured
See All Featured
A better future with KSS
kneath
240
18k
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
1
120
From π to Pie charts
rasagy
0
120
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
32
2.1k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
The Mindset for Success: Future Career Progression
greggifford
PRO
0
240
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
25
1.7k
Art, The Web, and Tiny UX
lynnandtonic
304
21k
Java REST API Framework Comparison - PWX 2021
mraible
34
9.1k
For a Future-Friendly Web
brad_frost
182
10k
Design of three-dimensional binary manipulators for pick-and-place task avoiding obstacles (IECON2024)
konakalab
0
350
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1.2k
Transcript
-पลͷߴػೳ௨৴࿏ͱ ωοτϫʔΫͷ֊ߏͷ࠶ߟ 5VSJOH$PNQMFUF'.ϛʔτΞοϓ !5&$)1-":4)*#6:" +VO OFMJP
• ࣗݾհ • -BZFSपลͷߴػೳ௨৴࿏ͷհ • ֊ߏΛ࠶ߟ͢Δ • ·ͱΊ֊ߏΛߟ͑͢ҙຯ 2 ͘͡
• ͶΓ͓PSͶΓ ֶੜ% - 5XJUUFS!@@OFMJP@@ - )1IUUQTOFHMJHJUIVCJP - ݚڀ&EHF$PNQVUJOH
4%//'7 ɹɹϓϩτίϧ\ϨΠϠϦϯά ελοΫ^ • ࠷ۙͷ׆ಈ - %PDLFS/'7 ڞஶ τϙϩδΛߟྀͨ͠*B$ ڞஶ - ֊ಠཱੑͷߴ͍ωοτϫʔΫߏ ਐߦத 3 ࣗݾհ ৽͍͠ΈΈΛܗʹ͍ͨ͠ਓ
• 5$1 $6#*$ ͰσʔλΛૹ৴ νϡʔχϯάແ͠ - ૹड৴ऀؒ355NT - 5$1ϓϩΩγૹड৴ऀؒͷதؒʹҐஔ
- όοΫάϥϯυτϥϑΟοΫແ͠ • ૹड৴ؒεϧʔϓοτ͕ߴ͍ͷͲͪΒ - 5$1ϓϩΩγͳ͍߹PS͋Δ߹ 4 ಥવͰ͕࣭͢Ͱ͢ ૹ৴ऀ ड৴ऀ RTT: 30ms ૹ৴ऀ ड৴ऀ TCPϓϩΩγ RTT: 30ms RTT: 15ms
• 5$1ϓϩΩγ͕͋Δ߹ͷ΄͏͕͍ - ຊ࣭5$1ͷ&OEUP&OE && 355Λॖখ • ཧ CQT 8JOEPX4J[F
CJU 355 T • 5$1ͷ-POH'BU1JQF - 355͕େ͖͍ͱଳҬΛ͍Εͳ͍ • ͞Βʹϩε͕ൃੜ͢Δͱ࠶ૹཁٻ͕۠ؒ͘ͳΔ - ߴػೳ௨৴࿏ʹΑΔղܾ • 5$14QMJUUJOHʹΑΔ355ׂ • Ϛϧνύε௨৴ʹΑΔଳҬू 5 ਖ਼ղ
• 5$1"DDFMFSBUJPO<$PN$PN`> - 355ׂʹΑͬͯ5$1ͷεϧʔϓοτΛ্ • %FMBZ5PMFSBOU/FUXPSLJOH %5/ - ϩε͕ൃੜͨ͠߹ͷ࠶ૹ͕۠ؒ͘ࡁΉ
• -ʹ͓͚Δ&&௨৴่͕ΕΔ - ͱ͍͑ݱ࣮ʹϛυϧϘοΫε͕͋;ΕΔ • -ϩʔυόϥϯαɼϓϩΩγͳͲ 6 5$14QMJUUJOHͷޮՌ 5$14QMJUUJOH͞·͟·ͳߴػೳੑʹܨ͕Δ
• 5$14QMJUUJOHΛ༻͍ͨ%5/ - ૠೖͨ͠#VOEMFʹͯ&&Λ࣮ݱ • ແઢ۠ؒͱ༗ઢ۠ؒͰ5$1Λஅ • ͦΕͧΕͷ۠ؒʹಛԽ੍ͨ͠ޚ͕Մೳ 7 #VOEMFϓϩτίϧ
3'$ L7 L4 L1−L3 L7 Bundle L4 L1−L3 L4 L1−L3 TCP A TCP B ༗ઢ۠ؒ ແઢ۠ؒ
• -௨৴࿏ͷ࣮ - -ͰߴػೳੑΛ࣮ݱ͢ΔͱෳࡶԽ͢Δ - ϛυϧϘοΫεͰ-&&่͕ΕΔ • ͱ͍͑ϛυϧϘοΫεॏཁͳஔ • ֊ͷՃΛߟ͑Δ
- %5/͚ͩͰͳ༷͘ʑͳߴػೳੑΛѻ͏ͷՃ • #VOEMF%5/ͷΈ - -ϝΧχζϜͷΈఏڙ • -௨৴࿏ΛΈ߹ΘͤΔ͜ͱͰߴػೳੑΛ࣮ݱ 8 ֊ߏͷ࠶ߟ
• ΞϓϦϙϦγΛୈʹཁٻ͢Δ - ϚϧνύεɼԆੑɼ҉߸ԽɼͳͲ • -ͦΕΛ࣮ݱ͢ΔϝΧχζϜ ϙϦγͱͷ - ֤ϙϦγಉҰͰซ༻Մೳ
9 ֊ߏΛม͑ͯΈΔҰྫ ୈ5 (Layer-5) ୈ4 (Transport) ୈ7 (Application) ػೳ ࣮ ϝΧχζϜͷఏڙ ϙϦγͷऩ༰ ୈ͔Βୈলུ NJEEMFCPYػೳ ௨ৗͷ௨৴࿏ ৴པੑͳ͠ ৴པੑ͋Γ Ԇੑ ଳҬूোੑ 6%1 5$1 ௨ৗͷ5$16%1 5$16%1ΛଋͶΔ 5$16%1ͷ࿈݁ 5$16%1ͷ࿈݁ ΞϓϦέʔγϣϯ
• ݱΞʔΩςΫνϟઃܭॳʹ͍ۙ - ҰํͰωοτϫʔΫͷཁٻଟ༷Խ - ͜ͷ··ͷߏͰػೳΛՃ͢ΔํͰ͍͍ͷ͔ • ظతʹྑ͍͕কདྷͷ४උͱͯ͠ॊೈੑ͕ॏཁ • ֊ߏͱ࣮ࣾձͱͷؔ
- ΠϯλʔωοτϚϧνεςʔΫϗϧμʔ • શһʹͱͬͯ߹ͷྑ͍ΈΛߟ͍͑ͨ - ৽ͨͳੜଶܥ͕ग़དྷ্͕Δ͔͠Εͳ͍ • ࠓ$%/શظɼࠓޙ͍ΘΏΔ*P5͔ʁ 10 ·ͱΊ֊ߏΛߟ͑͢ҙຯ ֊ߏΛΓޱʹকདྷͷΠϯλʔωοτΛߟ͑Α͏
• ωοτϫʔΫஊٛ͠·͠ΐ͏ʂ 11 ͳʹͱ͋Ε