Network Available Bandwidth Measurements - PowerPoint PPT Presentation

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Network Available Bandwidth Measurements

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Title: Network Available Bandwidth Measurements


1
Network Available Bandwidth Measurements
  • XiaoLong HE

2
Outline of the Talk
  • Problems
  • Related Work
  • Traffic Design
  • Our Approach (SimProbe)
  • Analysis of Simulation Results
  • SMRT Implementation
  • Lessons Learned
  • Future Work

3
Why measurement?
  • Measurement is critical to network control.
  • Measurement for selecting server/ISP
  • Measurement for verifying network configuration
  • Measurement for designing real-time applications
  • Measurement for load balancing in WAN
  • Measurement for accounting

4
Taxonomy of Internet Network Measurement
Approaches
  • Sender-based vs. Receiver-based
  • Passive Watch vs. Active Probe
  • Layer of Protocol used

5
Measurement Problems
  • Route Fluttering
  • Packet Loss
  • Out of Order packet delivery
  • Clocks Synchronization
  • Routers reject ICMP due to denial of series
    attacks.

6
Bottleneck Bandwidth
  • Bottleneck bandwidth the maximal rate at which
    data can be sent along a connection, determined
    by the slowest element in the entire chain.

7
Available Bandwidth
  • Available Bandwidthhow fast can the data in fact
    be transmitted over the connection.
  • PacketSize/(PacketSizeCompetitorPacketSize)
    Bottleneck Bandwidth

8
Related Works
  • Bprobe/Cprobe - Robert L. Carter and Mark E.
    Crovella, Boston University, 1996
  • Ping - M. Muuss, U.S.Army Ballistic Research
    Laboratory, 1983
  • Traceroute - Van Jacobson, Berkeley, Univeristy
    of California, 1997
  • Treno - M. Mathis and J. Mahdavi, Proceedings of
    INET96, Montreal, 1996

9
Bprobe/Cprobe
  • Bottleneck Bandwidth (PacketSize/Time)
  • Available Bandwidth (S2Sn)/(Tn-T1)

10
SimProbe Simulator
  • To carry the thesis out, we build a Java-based
    discrete event simulator.
  • Swing, Java2D and AWT packets for GUI design
  • Thread for comparing different probing methods
  • Port it to Unix (without GUI) for long time
    simulation

11
How traffic is generated in SimProbe Simulator
12
Traffic Patterns supported by SimProbe
  • Flat/Static
  • Slope
  • Web (modifed code by Arthur Blais)
  • Time between requests Pareto Distribution
  • Number of embedded references Pareto
    Distribution
  • Time between references Weibull Distribution
  • File Size Body (Lognormal Distribution) Tail
    (Pareto Distribution)

13
Network Topology Used in This Simulation Study
14
Our Approaches
  • Sending as few packets as possible. Using round
    trip time measurements for network available
    bandwidth.
  • Trip Time Measurement FormulaTripTimeMeasuredAv
    ailableBandwidth MinimalTripTimeMaximalAvailabl
    eBandwidth
  • Round Trip Time Measurement
  • SMRT
  • MMRT
  • Unidirectional Trip Time Measurement
  • SMUT
  • MMUT
  • Time Gap between packets
  • ACB (Adaptive Cprobe)

15
SMRT(Single Msg Round Trip Time Measurement)
  • Using multiple packets to find minimum of the
    round trip time of a connection
  • Using Bprobe to get the maximal available
    bandwidth of a connection
  • Sending single probing packet
  • Using round trip time to estimate the available
    bandwidth of the connection

16
MMRT
  • Use Bprobe to get the maximal available bandwidth
    of a connection
  • Using multiple packets to find minimum of the
    round trip time of a connection
  • Sending multiple packets
  • Round trip time for estimating ABW

17
SMUT
  • Use Bprobe to get the maximal available bandwidth
    of a connection
  • Using multiple packets to find minimum of the
    unidirectional trip time of a connection
  • Sending single probing packet
  • Using unidirectional trip time for estimating
    available bandwidth

18
MMUT
  • Use Bprobe to get the maximal available bandwidth
    of a connection
  • Using multiple packets to find minimum of the
    unidirectional trip time of a connection
  • Sending multiple probing packets
  • Using unidirectional trip time for estimating
    available bandwidth

19
Simulation result analysis
  • Difference MetricAvailableBandwidth -
    MeasuredAvailableBandwidth AvailableBandwidth
  • AvailableBandwidth PacketSize/(PacketSizeQueui
    ngSize) Bottleneck Bandwidth
  • MeasuredAvailableBandwidth (MinimalTripTimeMa
    ximalAvailableBandwidth)/ TripTime
  • DelayTimeTripTime - MinimalTripTime

20
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22
SMRT Random Characteristics
  • Problem Dependent on the arrival time of probing
    packet on bottleneck link
  • Three Scenarios
  • 1) no queuing time, yields bottleneck available
    bandwidth.
  • 2) yields the lower bound of bottleneck available
    bandwidth
  • 3) yields average bottleneck available bandwidth

23
Impact of Packet Size on SMRT
  • DelayTime rises when probing packets size
    increases.
  • Smaller packet size gets worse results
  • RoundTripTime MinimalRoundTripTime DelayTime
  • Examples
  • T1 / (T1?T)
  • T2 / (T2?T)

24
Impact of Link Length on SMRT
  • The result accuracy is worse with the length
    increasing
  • Delay Time dominates RoundTrip Time at shorter
    link length
  • Propagation time dominates RoundTrip Time at
    longer link length

25
Impact of Router Speed on SMRT
  • No apparent difference for 1GBps or 10GBps
  • Router Speed affects the time gap between packets
  • Slow router speed enlarges the time gap between
    packets
  • Router Speed must be faster than link speed

26
Impact of Bottleneck Link Bandwidth on SMRT
  • SMRT results follow the available bandwidth trend
  • SMRT performance is similar to the performance
    trend by SMRT performance with 10MBps bottleneck
    link bandwidth

27
MMRT
  • Try to alleviate the random characteristic of
    SMRT
  • Small time gap between probing packets may
    experience big traffic difference in Slope
    traffic pattern
  • Obvious improvement on SMRT performance in web
    traffic

28
SMUT
  • Measure the available bandwidth on unidirectional
    route.
  • SMUT has the same random characteristics as
    SMRT.

29
MMUT
  • Try to alleviate the random characteristic of
    SMUT
  • Small time gap between probing packets may
    experience big traffic difference with slope
    traffic pattern
  • MMUT has Better performance than SMUT with web
    traffic pattern

30
ACB
  • Using the last measured available bandwidth
  • Send two packets once a time
  • Reprobing in Cprobe if time gap between packets
    is inside of a range
  • Not better than Cprobe

31
Summary of Simulation Analysis
32
Implementation of SMRT
  • SMRT is implemented in C
  • Maintain a host file, which specifies the list of
    sites to be probed
  • Bprobe is used to measure the largest bottleneck
    available bandwidth
  • Ping is used to measure the smallest round trip
    time of a connection
  • Using Bprobe and Ping to collect the history
    information for each host in the file, at offpeak
    and over a long period
  • Probed host must be contained in the host file
  • Round trip time of the probing message is used to
    measure the instant available bandwidth

33
Implementation results of SMRT
  • We probed a list of mirror sites for popular
    software packages such as perl, linux and
    netscape

34
Implementation results of SMRT
  • Orst is good choice for us to download software

35
Implementation results of SMRT
  • Orst gives us relative short round trip time

36
Lessons Learned
  • Impact of router speed on traffic generation
  • Problem When router speed is lower than the
    bottleneck link speed, we can not get expected
    traffic?
  • Solution Make sure the router speed in our
    connection is greater than the bottleneck link
    speed, especially for the large bottleneck link
    bandwidth

37
Lessons Learned (Cont)
  • Cprobe Limitations
  • Probing returned packets interfere with later
    probing packets
  • Queuing time is not the only results from
    connection competition
  • Examined factors
  • Router Speed
  • Hop Number
  • Message Size
  • Message Number

38
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40
Lessons Learned (Cont)
  • OOP design in Java
  • Problem Chart can not be updated when we call
    the chart in a thread directly.
  • Solution Using SwingUtilities.invokeLater Class
  • Double data type precision problem
  • Problem The round trip time with traffic pattern
    is even shorter than the time without any traffic
  • Reason machine double type data has a precision
    problem in representing a value exactly
  • Solution Because difference is small, so ignore
    it

41
Future Works
  • How to measure available bandwidth of a host
    whose history information is not available.
  • How to find a better available bandwidth
    estimation formula to improve the accuracy of
    SMRT
  • Convert MMRT, SMUT and MMUT simulation code from
    Java to C
  • More traffic route to test the reliability of
    SMRT and other methods
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