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Describing of parameters of traffic generated by user of multimedia services offered by telco operators

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Title: Describing of parameters of traffic generated by user of multimedia services offered by telco operators


1
Describing of parameters of traffic generated
byuser of multimedia servicesoffered by telco
operators
  • Jacek Oko, Janusz Klink
  • Institute of Telecommunication and Acoustics
  • Wroclaw University of Technology
  • Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, POLAND
  • phone 48(71) 320 25 37, fax 48(71) 320 30 70
  • e-mail jacek.oko_at_pwr.wroc.pl
  • janusz.klink_at_pwr.wroc.pl

2
Plan of presentation
  • Introduction
  • Definition of multimedia services
  • Provision of (selected) services over ISDN
  • Mathematical description of traffic generated by
    some services
  • Conclusion

3
Introduction
  • Meaning of the title
  • Describing of parameters of traffic... the
    aim of the work
  • ... multimedia services... definition on the
    next slide
  • ... offered by telco operators means services
    which can be accessed via telecommunication
    (telephone) lines

4
Multimedia service...
  • From the end users point of view
  • ... is the combination of telecommunication
    capabilities required to support a particular
    multimedia application. (it is usually considered
    to be independent of the network(s) providing
    these capabilities)
  • From the Network Providers point of view
  • ... is a combination or set of combinations of
    two or more media components (e.g. audio, video,
    graphics, etc.) within a particular network
    environment in such a way as to produce a new
    telecommunication service (it is considered to be
    fully dependent on the specific capabilities of
    the networks utilized)
  • ) According to ITU-T F.700 Recommendation

5
Different accesses to the services
  • Permanent access (xDSL, CATV, etc.) / usually
    broadband
  • Switched access (POTS, ISDN) / usually
    narrowband

6
Switched access... Why ISDN?
  • Because it ...
  • is or could be available almost everywhere
  • guarantees high level of reliability and data
    security
  • offers interfaces (bandwidths) for users having
    different needs
  • PRI (2048 kbps) - for business subscribers
  • BRI (144 kbps) - for residential subscribers
  • Selection of specific type of access results
    first of all from user bandwidth requirements
    i.e. amount of data to transfer and / or
    acceptable transfer delay
  • offers a variety of services

7
Modeling of traffic generated by Internet access
dial-up connections
  • Subject of research
  • Behaviors of subscribers, using 64
    kbit/sunrestricted, 8 kHz structured ISDN
    service for connecting to the Internet, has been
    observed
  • Internet sessions has been established using
    dial-up connections, but subscribers have paid
    monthly fee for the access (not for the time of
    connection or amount of data transferred)
  • The analysis encompassed the following
    parameters
  • - call intensity
  • - holding time
  • Data has being collected for several months, from
    Monday to Sunday, then the average week has
    been estimated

8
Average number of Internet sessions opened during
the day
9
Method of traffic analysis
  • Attempt at finding, after data collection, a good
    mathematical model, for the distributions
    describing call intensity and call holding times
    for Internet sessions
  • Problem
  • the histograms didn't fit any common known and
    used distributions
  • Some of them suggested that exponential functions
    could be useful in these descriptions
  • Solution
  • modeling these distributions using not simple
    exponential functions,
  • but sequences of exponential families
  • (method mentioned in the paper)

10
Distribution function for exponential families
  • Distribution function of such exponential
    families could be given by the following formula
  • Density function from exponential family of k
    dimension
  • ? (?1, . . . . ., ?k) ? Rk - coefficients
  • ?i - is a normalized in L2((0,1),dx) Legendre
    polynomial

11
Call intensity for dial-up connections, used as
an access to the Internet
Determined dimension k5 Coefficients ?(
0,3108 -0,1476 -0,1396 0,1629 -0,1453)
c1,08208 Coefficients ? have been
calculated basing on the highest credibility
method and practical considerations (increase of
dimension complicates model and decreases ability
of its application)
  • As a good model for the call intensity
    distribution, a model with density function given
    by the following formula has been assumed
  • Connections using 64 kbit/s unrestricted, 8 kHz
    structured ISDN service

12
Holding times
  • Detailed analysis of call holding times suggests
    to describe it by exponential distribution
  • however...
  • the distribution is disturbed by some stripes,
    representing characteristic holding times (0s,
    120s, 300s etc.)
  • it may be caused by user applications, which
    releases the calls after a specific time of user
    (or application) inactivity (no data transfer),
    or by operator after defined holding time (e.g.
    10 hours)
  • so...
  • it suggests division of the model into two parts
  • distribution (a) describing the disturbances
    caused by characteristic holding times
  • distribution (b) describing all the other call
    holding times

13
Distribution (a)(description of the
disturbances...)
  • The stripes has been described by discrete
    distribution
  • The characteristic fractions
  • p013,43e-02, p1201,00e-02, p3002,00e-02,
    p12003,00e-02
  • where p1-p0 -p1200
  • An auxiliary random variable W, with discrete
    distribution,
  • has been introduced
  • Pr(W0)13,43e-02/(1-p)
  • Pr(W120)1,00e-02/(1-p)
  • Pr(W300)2,00e-02/(1-p)
  • Pr(W1200)3,00e-02/(1-p),
  • where Pr(Wx) means event probability, that
    holding time amounts
  • x seconds

14
Distribution (b)(description of all the other
holding times) (1)
  • Distribution of all the other call holding times
    reminds Weibull distribution
  • Fa,b(x) is a Weibull distribution with parameters
    a, bgt0
  • As a good model, distribution function given by
    the following formula has been assumed

15
Distribution (b)(description of all the other
holding times) (2)
Approximation by the following density
function Determined dimension
k5 Coefficients ?(-0,0131 -0,0021 0,0861
-0,0609 0,1640) c1,01860 Parameters a and b
area0,0173, b0,5449 Coefficients ? and
parameters a and b have been calculated
basing on the highest credibility method and
practical considerations (increase of dimension
complicates model and decreases ability of its
application)
  • Connections use 64 kbit/s unrestricted, 8 kHz
    structured ISDN service

16
Conclusion
  • Ability of traffic description is the key issue
    in solving of todays traffic engineering problems
  • With the extension of assortment of services
    (including multimedia), these problems have
    become much more complicated than in POTS era
  • The paper presents metod of traffic parameters
    description, on the basis of selected ISDN
    services, using the curves from exponential
    families
  • The traffic describes behaviours of subscribers
    connecting to the Internet via telephone switched
    digital line (ISDN)
  • This method can be extended for modeling other
    kinds of traffic (other services, etc.)
  • It can also be used for traffic generation and
    building of traffic sources for simulations
    purposes

17
  • Thank you
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