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
TCP-FIT: An Improved TCP Congestion Control
Search
Kevin Tong
May 13, 2013
Technology
0
500
TCP-FIT: An Improved TCP Congestion Control
Kevin Tong
May 13, 2013
Tweet
Share
More Decks by Kevin Tong
See All by Kevin Tong
Improving Fairness, Efficiency, and Stability in HTTP-based Adaptive Video Streaming with FESTIVE
logicmd
1
4.6k
Transport Methods in 3DTV—A Survey
logicmd
0
130
The Performance of MapReduce: An In-depth Study
logicmd
0
690
Simple Regenerating Codes:Network Coding for Cloud Storage
logicmd
0
520
ANALYSIS OF ADAPTIVE STREAMING FOR HYBRID CDN/P2P LIVE VIDEO SYSTEMS
logicmd
1
540
Other Decks in Technology
See All in Technology
プロダクトエンジニアリング組織への歩み、その現在地 / Our journey to becoming a product engineering organization
hiro_torii
0
120
OpenHands🤲にContributeしてみた
kotauchisunsun
1
370
Абьюзим random_bytes(). Фёдор Кулаков, разработчик Lamoda Tech
lamodatech
0
310
Amazon S3標準/ S3 Tables/S3 Express One Zoneを使ったログ分析
shigeruoda
3
430
成立するElixirの再束縛(再代入)可という選択
kubell_hr
0
1k
25分で解説する「最小権限の原則」を実現するための AWS「ポリシー」大全
opelab
11
2.3k
生成AIで小説を書くためにプロンプトの制約や原則について学ぶ / prompt-engineering-for-ai-fiction
nwiizo
2
420
変化する開発、進化する体系時代に適応するソフトウェアエンジニアの知識と考え方(JaSST'25 Kansai)
mizunori
0
170
低レイヤを知りたいPHPerのためのCコンパイラ作成入門 完全版 / Building a C Compiler for PHPers Who Want to Dive into Low-Level Programming - Expanded
tomzoh
4
2.9k
ローカルLLMでファインチューニング
knishioka
0
140
第9回情シス転職ミートアップ_テックタッチ株式会社
forester3003
0
200
MySQL5.6から8.4へ 戦いの記録
kyoshidaxx
1
150
Featured
See All Featured
4 Signs Your Business is Dying
shpigford
184
22k
VelocityConf: Rendering Performance Case Studies
addyosmani
330
24k
GitHub's CSS Performance
jonrohan
1031
460k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
281
13k
Automating Front-end Workflow
addyosmani
1370
200k
Why Our Code Smells
bkeepers
PRO
337
57k
Mobile First: as difficult as doing things right
swwweet
223
9.7k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
44
2.4k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
8
790
Bash Introduction
62gerente
614
210k
For a Future-Friendly Web
brad_frost
179
9.8k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
507
140k
Transcript
Jingyuan Wang, Jiangtao Wen, Jun Zhang and Yuxing Han Tsinghua
National Laboratory for Information Science and Technology
Introduction Background and Motivation The TCP-FIT Algorithm
Experimental Results Conclusion
TCP ◦ The Transmission Control Protocol TCP Reno/
TCP New Reno ◦ Pros Reliable Sequential ◦ Cons Wireless network high Bandwidth Delay Product (BDP)
Recent development ◦ Wireless TCP Westwood TCP
Veno ◦ BDP TCP Compound TCP CUBIC FAST TCP TCP-FIT ◦ Inspired by parallel TCP
Introduction Background and Motivation The TCP-FIT Algorithm
Experimental Results Conclusion
What is a Congestion Algorithm? Classification ◦ Loss-based
◦ Delay-based ◦ Hybrid
Loss-Based ◦ TCP Reno, TCP CUBIC ◦ TCP BIC
, High Speed TCP Definition Assumption ◦ Constraints In wireless scenarios In BDP scenarios
Delay-Based ◦ TCP Vegas and FAST TCP Definition
Assumption ◦ Queuing delay = RTT – Propagation delay. ◦ Pros Resilient -> good ◦ Cons bandwidth starvation
Hybrid TCP ◦ Veno, TCP Westwood, TCP Illinois, H-TCP
and Fusion TCP ◦ Compound TCP Cons ◦ Poor in BDP-wireless-hybrid scenarios
TCP-FIT ◦ Parallel TCP ◦ E.g. GridFTP and E-MulTCP
◦ Pros: Utilization Good in wireless and BDP ◦ Cons: Compatibility Fairness
Introduction Background and Motivation The TCP-FIT Algorithm
Experimental Results Conclusion
Notation of parameter ◦ : Size of congestion window
� ◦ : RTT time ◦ : PLR, Packet Loss Rate ◦ : Throughput of the network ◦ : Propagation delay ◦ : Queuing delay
Object ◦ achieve N times throughput of the TCP
Reno ◦ meanwhile maintain fairness TCP Reno ◦ AIMD : ← + 1 : ← − 1 2
MulTCP ◦ : ← + ◦ : ← −
1 2 Proposed Method ◦ : ← + ◦ : ← − 2 3+1
Assumption: one loss adjustment is enough ◦ Based on
AIMD ◦ = − 2 3+1 ◦ + = 2� ◦ We get ◦ = 3+1 3 �
In a certain length of time( we set it
as k*RTT time ) ◦ ∆ = 1 − � + � 𝑘𝑘 � � 2 3+1 Then ◦ ̇ = ∆ ̇ = 𝑇𝑇 − 𝑋𝑋 � 2 3+1 � 3+1 3 � Let ̇ = 0 then we get = 32 2 � 2 ( = � 𝑇𝑇 ) ◦ = 1 𝑇𝑇 3 2 1
The is adjusted adaptively. Update of is ◦ 𝑖𝑖+1
= 1, 𝑖𝑖 + − −𝑡𝑡 𝑖𝑖 The equilibrium of is ◦ = � −𝑡𝑡 = 𝑇𝑇 ◦ (denote α as α = (𝑡𝑡 − 𝑡𝑡 )/𝑡𝑡 ) ◦ (Easy to know = = + = 𝑡𝑡 + ) ◦ = 2 3 1
Network Utilization ◦ = 1 𝑇𝑇 3 2 1
vs = 1 𝑇𝑇 3 2 1 Fairness ◦ RTT-fairness η = 𝑖𝑖 = 1 vs η = 𝑖𝑖 = + 𝑖𝑖+ ( = = + ) ◦ Inter-fairness = 𝑇𝑇∗−𝑇𝑇′ 𝑇𝑇∗
Introduction Background and Motivation The TCP-FIT Algorithm
Experimental Results Conclusion
BDP Scenarios
Wireless Scenarios
Inter-fairness
RTT-fairness
Cons: ◦ a low speed ADSL network with large
bandwidth variations ◦ Due to simplistic model of bandwidth estimation compared with FAST.
Thank you