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| Content Provider | Springer Nature Link |
|---|---|
| Author | Yoshihara, Tadafumi Kasahara, Shoji Takahashi, Yutaka |
| Copyright Year | 2001 |
| Abstract | Recent measurements of packet/cell streams in multimedia communication networks have revealed that they have the self-similar property and are of different characteristics from traditional traffic streams. In this paper, we first give some definitions of self-similarity. Then, we propose a fitting method for the self-similar traffic in terms of Markov-modulated Poisson process (MMPP). We construct an MMPP as the superposition of two-state MMPPs and fit it so as to match the variance function over several time-scales. Numerical examples show that the variance function of the self-similar process can be well represented by that of resulting MMPPs. We also examine the queueing behavior of the resulting MMPP/D/1 queueing systems. We compare the analytical results of MMPP/D/1 with the simulation ones of the queueing system with self-similar input. |
| Starting Page | 185 |
| Ending Page | 211 |
| Page Count | 27 |
| File Format | |
| ISSN | 10184864 |
| Journal | Telecommunication Systems |
| Volume Number | 17 |
| Issue Number | 1-2 |
| e-ISSN | 15729451 |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 2001-01-01 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Computer Communication Networks Artificial Intelligence (incl. Robotics) Probability Theory and Stochastic Processes Business Information Systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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