/
End-host Perspectives on Congestion Management End-host Perspectives on Congestion Management

End-host Perspectives on Congestion Management - PowerPoint Presentation

alexa-scheidler
alexa-scheidler . @alexa-scheidler
Follow
396 views
Uploaded On 2017-09-29

End-host Perspectives on Congestion Management - PPT Presentation

Murari Sridharan murarismicrosoftcom CONEX BOF IETF 76 Hiroshima Its all about the apps Apps have diverse needs P2P VoIP TV online apps games Filling the pipe while being TCP fair Highspeed congestion control Autotuning the receive window host OS including app bottlenecks ID: 591746

network congestion host tcp congestion network tcp host apps measure devices feedback policy conex hosts connectivity performance protocols based

Share:

Link:

Embed:

Download Presentation from below link

Download Presentation The PPT/PDF document "End-host Perspectives on Congestion Mana..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

Slide1

End-host Perspectives on Congestion Management

Murari Sridharan

muraris@microsoft.com

CONEX BOF, IETF 76, HiroshimaSlide2

Its all about the apps

Apps have diverse needs

P2P, VoIP, TV, online apps, games

Filling the pipe while being TCP fair

High-speed congestion control, Autotuning the receive window, host OS (including app) bottlenecks

Low priority scavenger service

Protocols changes to reduce latency

Multipath transport to maximize link capacity, improve resiliencySlide3

End-host view of the network

Mostly works as expected

Establishing connectivity is sometimes problematic

Largely remains a black box

Congestion, bottleneck capacity is implicitly inferred

Network seems change/risk averse

Imposes complex usage requirements

Volume caps, pay-per-use, metered data plans …Slide4

Network’s view of the end-hosts

End-hosts cannot be trusted, need to be explicitly controlled

Application performance needs can be inferred and improved upon by inspecting packets on the wire

End-hosts typically establish connectivity to well-known servers

And the reality is …Slide5

Splitting at the seams

Devices, Devices, Devices …

IGDs/NATs/Firewalls/DPI devices/Load balancers/Soft switches

Layering violations, RFC non-conformance, no future proofing

Backwards compatibility

Thanks to deep packet inspection you can’t even touch padding bits!

Hampered ECN deployment

New protocols hard or impossible to deploy

No changes to protocol on the wire

Takes time for apps to move to using new APIs

Not all apps need TCP, but only TCP passes reliably E2E

Tunneling, feedback loops & TCP over TCP issues

Network traffic management is a nightmare due to increased appetite for large volumesSlide6

CONEX: Things to consider

Let’s please stop inferring each other.

How can the end-host learn about network policy?

Explicit feedback to/from the network

OS has tons of context than the small amount reflected in the packets

Wireless/Cellular network operators are moving towards usage based models

Tactically, policy based routing/interface selection is the high-order bit

How does the end-host learn about the network policy?Slide7

CONEX: Things to consider

Incremental deployment & incentives

Bottleneck is largely within the home and/or last mile

Congestion exposure doesn’t add any benefit but shouldn’t make it worse

Primal-dual congestion control

Performance is a function of source rate controller, AQM, marking thresholds, congestion measure

Measure of congestion, feedback of congestion measure, and use of congestion measure by the source controller are

all

important.

Beyond TCP – UDP(DCCP) + ECN