The MPLS WG Archive[Date Prev][Date Next][Thread Prev][Thread Next] [Date Index][Thread Index][Author Index][Subject Index] traces to simulate QoS requests
Hi Qingming Ma, Your dissertation really interested me. In it is possible I would like you to send me a copy. Thank you Daniela Cunha Qingming Ma wrote: > In my dissertation work on QoS routing, I used various different traffic > models for QoS session arrivals, bandwidth requirements, and call > holding time distributions. You can check out details from my dissertation. > Let me know if you want to have a copy. > > Thank you, > > Qingming > > At 08:56 AM 5/4/00 -0400, Peter Ashwood-Smith wrote: > >MPLS wrote: > > > > > > Hi all, > > > We are trying to simulate a workmodel for handling QoS requests. > > > > > > In this respect, are there any publicly available traces for real time > > > call requests that request bandwidth at the ISPs. > > > > > > If not, is there some study that says what is a feasible > > > distribution for the following: > > > 1. b/w requirement of a QoS call > > > 2. QoS call request arrival rate > > > 3. QoS call duration > > > > > > Most of the reserach work has been done using uniform ditsribution > > > for b/w requirement, poisson for arrival rate, and exponential for call > > > duration. > > > How close to the real life scenario are these assumptions. > > > > > > Thanks in advance, > > > > > > Gargi Banerjee > > > > I'm not aware of a source of the data you are looking for however I'd > >warn you against using any of the nice clean models like poisson etc. > >You may be able to extrapolate from some existing ATM networks as a > >starting point. > > > > The rate that LSPs arrive, depart and how long they hold will depend > >on the applications using them and we cannot easily predict what applications > >will tend to do with them. Initially you will see REALLY long hold times > >but these will come down in time as more and more uses for LSPs evolve. > > > > My gut feeling is that LSPs will eventually have behavior like data only > >at a slower rate. I.e. chaotic, bursty etc. > > > > Cheers, > > > > Peter
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