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CATNIP

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Title: PowerPoint Presentation Author: Computer Science Department Last modified by: Computer Science Department Created Date: 3/27/2002 11:49:42 PM – PowerPoint PPT presentation

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Title: CATNIP


1
CATNIP Context Aware Transport/Network
Internet Protocol
Carey Williamson Qian Wu Department of
Computer Science University of Calgary
2
Why CATNIP
  • Layered protocol stacks

3
Why CATNIP (Contd)
  • Observations in Web data transfer using TCP/IP
  • Poor protocol interactions
  • TCPs window-based flow control mechanism
    produces data bursts
  • Not all packet losses are created equal. Packet
    losses are costly for small document transfer
  • A TCP source has limited control over packet loss
    effects
  • An IP router has significant control over packet
    loss effects.

4
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5
Design of CATNIP
  • Can we make the TCP/IP protocols smarter about
    the specific job?
  • Convey application-layer context information to
    the TCP and IP layers

Application
Transport
Network
6
Design of CATNIP (Contd)
  • Adding context-awareness to TCP
  • Rate-Based Pacing of the Last Window (RBPLW)
  • Early Congestion Avoidance (ECA)
  • Selective Packet Marking (SPM)
  • Use the reserved high-order bit in the TCP
    header to convey packet priority information

7
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8
Design of CATNIP (Contd)
  • Adding context-awareness to IP
  • CATNIP-Good
  • CATNIP-Bad
  • CATNIP-RED RED CATNIP-Good

9
Evaluation of CATNIP
Simulation ns-2
Evaluation
Emulation use WAN emulation to test a prototype
implementation of CATNIP in the Linux kernel of
an Apache Web server.
10
  • Evaluation using simulation
  • Network model

Client 1
Server 1
10 Mbps, 5 ms
10 Mbps, 5 ms
Client 2
1.5 Mbps, 5 ms
Server 2
RouterS
RouterC
Client 99
10 Mbps, 5 ms
10 Mbps, 5 ms
Client 100
Server 10
11
  • Evaluation using simulation (Contd)
  • Web workload model
  • 10 Web pages
  • Use empirically-observed distribution to
    determine the size, and the number of embedded
    images

12
  • Evaluation using simulation (Contd)
  • Factors and Levels
  • Performance metrics
  • the transfer time for each Web page
  • the average packet loss

13
  • Simulation results
  • DropTail routers
  • Mean and standard deviation of transfer times

14
  • Packet loss
  • Observations
  • TCP endpoint control algorithms have little
    advantage to offer.

15
  • Simulation results (Contd)
  • CATNIP-Good routers
  • Mean and standard deviation of transfer times

16
  • Packet loss
  • Observations
  • Adding context-awareness at the IP routers
    improves the mean Web page transfer times and the
    standard deviation of the transfer times.
  • The average packet loss rates with CATNIP-Good
    are higher than for the DropTail routers.

17
  • Simulation results (Contd)
  • CATNIP-Bad routers
  • Mean and standard deviation of transfer times

18
  • Packet loss
  • Observations
  • Packet losses are shifted to the high priority
    TCP packets, that is, throw away the wrong
    packet at the wrong time, therefor makes
    matters worse.

19
  • Simulation results (Contd)
  • CATNIP-RED routers
  • Mean and standard deviation of transfer times

20
  • Observations
  • Reno and ECA perform similarly in almost all
    cases.
  • The effect of CATNIP-RED is greater than the
    effect of ECA.

21
  • Experimental Implementation and Evaluation
  • Experimental environment
  • WAN emulator IP-TNE (Internet Protocol Traffic
    and Network Emulator)
  • Web server
  • Apache Web server (version 1.3.19-5) runs on top
    of modified Linux 2.4.16 kernel.
  • Implementation focused on the SPM feature only

22
  • Network model

Client 1
10 Mbps, 5 ms
Client 2
10 Mbps, 5 ms
1.5 Mbps, 5 ms
RouterS
RouterC
Endpoint
Server
Client 99
10 Mbps, 5 ms
Client 100
WAN Emulation
  • Primary Factor
  • buffer size of the bottleneck link (64 KB --
    512 KB)

23
  • Evaluation results

24
  • Conclusions
  • Not all packet losses are created equal
  • A TCP source alone has limited control over Web
    data transfer performance, even with
    application-layer information
  • The IP layer has a significant influence on Web
    data transfer performance, particularly when
    application-layer context information is
    available
  • A simple change to the TCP/IP stack
    implementation can provide the context
    information
  • Changes to the queue management at routers can
    provide significant performance advantages for
    the context-aware TCP/IP.

25
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