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Network Congestion

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Network Congestion Gabriel Nell UC Berkeley Outline Background: what is congestion? Congestion control End-to-end Router-based Economic insights Overview of TCP ... – PowerPoint PPT presentation

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Title: Network Congestion


1
Network Congestion
  • Gabriel Nell
  • UC Berkeley

2
Outline
  • Background what is congestion?
  • Congestion control
  • End-to-end
  • Router-based
  • Economic insights
  • Overview of TCP-friendly congestion control
    mechanisms

3
Congestion
  • The state of sustained network overload
  • Congestion collapse
  • Traffic dominated by overhead such as packet
    retransmissions
  • Current internet
  • Dominated by best-effort traffic
  • TCP for guaranteed delivery Congestion-aware
  • UDP for streaming applications Congestion-unaware

4
Controlling Congestion
  • End-hosts
  • Advantages cheap, scalable
  • Disadvantage requires cooperation
  • Routers
  • Advantages can be more aggressive, has a
    complete picture of network traffic
  • Disadvantages expensive, algorithms difficult to
    implement in hardware

5
TCP Congestion Control
  • Implemented at end hosts
  • Relies on feedback
  • Implicit packet drops indicate congestion
  • Explicit ECN flags in header
  • Congestion controlled by changing window size
    additive increase, multiplicative decrease (AIMD)
  • Problem delays in adapting to network conditions
    may cause oscillations

6
Router-Based Control
  • Scheduling
  • Determines service order
  • Should be easy to implement, provide fairness and
    protection, and perform well
  • Scheduling algorithms
  • FIFO (first in, first out)
  • Round-robin / weighted round-robin
  • Weighted fair queuing

7
Router-Based Control
  • Buffer Management
  • Absorbs bursts
  • Shared/per-flow
  • Introduce delay
  • Queue Management
  • Manage queue length, decide what packets to drop
  • RED effective, but difficult to parameterize for
    variable conditions

8
Economic Insights
  • Tragedy of the Commons
  • Network resources a public good
  • Negative externality
  • Solution Internalize costs
  • Congestion pricing cover fixed costs, charge
    extra under congestion conditions
  • Charge by willingness to pay

9
Economic Insights
  • New problem - customers prefer
  • Flat rates
  • Constant performance, even if variable
    performance is better on average

10
TCP-friendly Congestion Control
  • TCP-friendly long-term throughput does not
    exceed that of TCP under the same conditions
  • Motivation want to stream data such as audio and
    video without degrading overall network
    performance
  • For convenience, consider long-lasting streams

11
Congestion Control Schemes
  • Window-based vs. Rate-based
  • Unicast vs. Multicast
  • End-to-end vs. Router-supported

12
Single-rate Vs. Multi-rate
  • Meaningful when considering multicast
  • Single-rate sends data to each client at the same
    rate
  • Multirate sends data to each client at whatever
    rate is best for that client

13
Single-rate Protocols
14
Rate-based Approaches
  • RAP Rate Adaptation Protocol
  • Simple AIMD behavior
  • LDA Loss-Delay Based Adaption Algorithm
  • Dynamic AIMD based on RTCP feedback
  • TFRC TCP-Friendly Rate Control Protocol
  • Adjusts sending rate based on complex TCP
    equation
  • TEAR TCP Emulation at Receivers
  • Uses a congestion window to determine rate, but
    averages over larger timescales

15
Window-based Approaches
  • RLA Random Listening Algorithm
  • Tracks number n of congested receivers, window is
    decreased if a random number is ? 1/n
  • MTCP Multicast TCP
  • Arrange receivers in a tree, children report
    congestion to parents.
  • Root receives aggregate info, sends only as much
    data as smallest window
  • NCA Nominee-Based Congestion Avoidance
  • Selects bottleneck as representative receiver,
    uses TCP-style congestion control algorithm

16
Multi-rate Protocols
17
Rate-based Approaches
  • RLC Receiver-Driven Layered Congestion Control
  • Bandwidth consumed by each layer increases
    exponentially
  • Subscription to additional layers comes at
    particular times, which also increase
    exponentially however congestion causes
    immediate layer drops

18
Rate-based Approaches
  • FLID-DL Fair Layered Increase/Decrease with
    Dynamic Layering
  • Encodes data with digital fountain
  • Bandwidth consumed by a layer decreases over time
  • LTS/TFRP Layered Transmission
    Scheme/TCP-Friendly Transport Protocol
  • Use simple TCP rate equation to decide
    subscription level

19
MLDA and Rainbow
  • MLDA Multicast Loss-Delay Based Adaption
    Algorithm (rate-based)
  • Same as LDA, but performs rate calculation at
    receiver
  • Rainbow (window-based)
  • Encode data with digital fountain
  • Receivers individually request packets based on
    individual windows

20
Conclusion
  • Congestion is an important and complex problem
  • Many solutions of varying effectiveness and
    complexity for various applications
  • Areas of future research
  • Methods of comparing protocols
  • Improve definitions of fairness, friendliness
  • Improve models of TCP traffic

21
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