qos reality check “be careful what you ask for” terry gray university of washington 5 may 1999...

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QoS Reality Check “Be careful what you ask for” Terry Gray University of Washington 5 May 1999 -- NWACC

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QoS Reality Check“Be careful what you ask for”

Terry Gray

University of Washington5 May 1999 -- NWACC

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UW Network Overview• 70,000 accounts• 37,000 end systems• 2,000 modems• 50 remote sites• IP-only backbone• 500 Gigabytes/day across backbone• Internet: 45Mbps peak in, 20Mbps peak out• NWNet founder, NOC• Center of statewide K20 net• Home of P/NW Gigapop, SNNAP

3

3 Kinds of People

• Optimists-Bandwidth will be enough

• Hedgers-But what if it isn’t?

• Pessimists-E2E per-flow guarantees are essential

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QoS Axioms

• QoS doesn't create bandwidth --it just determines who will get poor service at congestion points.

• The most important QoS question is: how many "busy" signals constitute success for your network?

• Given a busy signal, users will want to proceed anyway.

• Network Managers will not trust end systems.

• Biggest need is on WAN links, where it’s hardest to do! (scaling, settlements, signalling interoperability).

• Best-effort traffic must be protected from premium hogs (there are many ways for net managers to die… !)

5

Simplified Network Topology

Router Router

BorderRouter

CoreSwitch

EdgeSwitch

Edge Switch

InteriorSwitch

InteriorSwitch

Gigapop Internet2

DesktopDesktop

Internet

Fed Nets4

40

250

1000Branch Site

30,000

PBX

6

Congestion Zones

• Subnet --overprovision + CBQ

• Backbone --subscriptions/quotas (CAR)

• Wide-Area --quotas, feedback, reservation?

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Poor Man’s QoS: Why CBQ WorksEven with 50% hi-priority traffic, delay is constant

Load

Delay

Low-Priority

Hi-Priority

Inflection at 30 - 80% load, depending on burstiness 100%

Multiplexing priorities on a channel improves efficiency at the cost of certainty.

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Design Issues

• Cost of resource vs. cost of controls(control cost must include Policy Jitter!)

• Flow setup overhead vs. flow length

• Statistical vs. guaranteed quality?

• Prioritization via privilege, desire, or need?

• Price based on usage or quota?

• Privilege associated with port or user?

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Congestion Avoidance Tools

• With end-system cooperation– Adaptive protocols– Adaptive applications– Admission control

• Without end-system cooperation– Traffic shaping– Traffic policing– Eligibility control– Behavior shaping (user adaptation)

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Do you have a Reservation?

• Do you really want one?– Event duration is needed in order to schedule– Big-chunk reservations require sequestered bandwidth– Small-chunk reservations are unnecessary– Apps may need problematic bi-directional reservations– Reservations invite policy complexity– Expect marketplace rather than reservations to dominate.

• Whither RSVP?– Campus net = RSVP-transparent zone– End-systems could signal border router/BB if needed– (Or other end-systems)– Will RSVP become moot?

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IETF Diff-Serv Approach

• Result of doubts about IntServ/RSVP scalability

• Concept:– Abandon end-to-end per-flow reservation/setup– Mark packets at edge of WAN as to equiv class

• Current debate: semantics for TOS/DS bits

• Prognosis: favorable

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I2 QoS Working Group

• Focus on IETF Diff-Serv approach

• Bandwidth Broker at “edge”

• Aggregation of flows into classes– No per-flow reservations within core

• Some WG members think that:– Diff-Serv+BB is too optimistic/simplistic– Diff-serv+BB is too pessimistic/complex

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WAN QoS: Internet 2 Connection• Dual use:

– Application research– Production traffic among members

• If lots of big-chunk reservations needed:– Sequester part of I2 bw for scheduled use– Remainder: production + on-demand premium

• Or…– Use quotas for medium-chunk needs– Manual reconfiguration for special events– Could permanently sequester bw for some apps

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WAN QoS: Commercial Internet

• Won’t just be best-effort for long

• Reservation model unlikely

• Quota/CAR approach seems probable

• Pricing model unclear

• Need for recharge likely

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WAN QoS: Branch Sites

• Could provide dedicated bandwidth for different services: IP data, IP video, VoIP.

• Border routers connect to POTS and videoconferencing gateways.

• Bounded round-robin queue discipline.

• Packets need to be marked by service type or queued using gateway source address.

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Some “Interesting” Issues• What to do with over-quota packets?

– Drop rather than downgrade? (Since downgraded packets likely to arrive out-of-order and be dropped by end-system streaming apps anyway.)

• Incoming Traffic– May cause biggest part of NSP charges– Respect incoming Premium marking?– If so, apply destination quota or recharge?

• How will subscribers know whether they got what they paid for?– Good question!

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Reality Check• Current campus nets are not ready for QoS…

Prepare for forklift upgrades.• Widespread 802.1p support expected… but

vendors assume end-system will set priority.• Switching and full-duplex needed…• Cat 3 wiring is an issue in older buildings.• How much layer-3 support needed at edge?• Access from alternate locations implies multiple

authentication methods.

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No Guarantees...

• Only probabilities!

• Choice of:– P (Busy Signal)

or– P (Degraded Service)

• Still no substitute for adequate bandwidth…and still many ways for Net Mgrs to die!

• If you need absolute certainty, don’t share!

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Summary

CAN WAN

Optimist

Hedge

Pessimist

Raw Bandwidth Raw Bandwidth

CAR + 802.1p DiffServ + BB

RSVP RSVP

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Conclusions• Future peak/aggregate usage patterns are unknown… No one

can say how much BW and QoS capability will really be needed.

• Nevertheless, adequate eQoS without per-flow lookups or reservations appears plausible...

• Campus: Fast/Gigabit Ethernet infrastructure can reduce odds of congestion; multiple queues and CAR policing provide additional headroom.

• But: even minimalist CoS & DS approaches have worrisome operational implications… vigilance is needed to keep things as simple as possible.

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Epilogue

• Recent experience suggests that the most urgent network design goal should be to:

reduce policy jitter!!

• Claim: this requires a solution with a very small set of policy choices…

• Otherwise, policy management will eat you alive!