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
510
0
Share
TCP-FIT: An Improved TCP Congestion Control
Kevin Tong
May 13, 2013
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
140
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
#jawsugyokohama 100 LT11, "My AWS Journey 2011-2026 - kwntravel"
shinichirokawano
0
360
Pure Intonation on Browser: Building a Sequencer with Ruby
nagachika
0
130
Route 53 Global Resolver で高額課金発生!
otanikohei2023
0
110
AI時代のガードレールとしてのAPIガバナンス
nagix
0
300
「SaaSの次の時代」に重要性を増すステークホルダーマネジメントの要諦 ~解像度を圧倒的に高めPdMの価値を最大化させる方法~
kakehashi
PRO
3
1.4k
QGISプラグイン CMChangeDetector
naokimuroki
1
430
AIが書いたコードを信じられない問題 〜レビュー負荷を下げるために変えたこと〜 / The AI Code Trust Gap: Reducing the Review Burden
bitkey
PRO
8
1.3k
弁護士ドットコム株式会社 エンジニア職向け 会社紹介資料
bengo4com
1
160
国内外の生成AIセキュリティの最新動向 & AIガードレール製品「chakoshi」のご紹介 / Latest Trends in Generative AI Security (Domestic & International) & Introduction to AI Guardrail Product "chakoshi"
nttcom
4
1.3k
20260423_執筆の工夫と裏側 技術書の企画から刊行まで / From the planning to the publication of technical book
nash_efp
3
410
みんなで作るAWS Tips 100連発 (FinOps編)
schwrzktz
1
310
クラウドネイティブな開発 ~ 認知負荷に立ち向かうためのコンテナ活用
literalice
0
140
Featured
See All Featured
Skip the Path - Find Your Career Trail
mkilby
1
110
Docker and Python
trallard
47
3.8k
svc-hook: hooking system calls on ARM64 by binary rewriting
retrage
2
220
Game over? The fight for quality and originality in the time of robots
wayneb77
1
160
Reflections from 52 weeks, 52 projects
jeffersonlam
356
21k
Making the Leap to Tech Lead
cromwellryan
135
9.8k
Visualization
eitanlees
150
17k
The Limits of Empathy - UXLibs8
cassininazir
1
310
From Legacy to Launchpad: Building Startup-Ready Communities
dugsong
0
200
Intergalactic Javascript Robots from Outer Space
tanoku
273
27k
Paper Plane
katiecoart
PRO
1
49k
Documentation Writing (for coders)
carmenintech
77
5.3k
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