Statistical models for Gnutella signaling traffic |
| |
| Affiliation: | 1. Coastal & Marine Union (EUCC), P.O. Box 11232, 2301 EE Leiden, The Netherlands;2. Mediterranean Information Office for Environment, Culture and Sustainable Development (MIO-ECSDE), 12, Kyrristou Str., 105 56 Athens, Greece;3. School of Psychology, Plymouth University, Drake Circus, Plymouth PL4 8AA, United Kingdom;4. School of Marine Science and Engineering, Plymouth University, Drake Circus, Plymouth PL4 8AA, United Kingdom;5. MaREI Centre, Environmental Research Institute, Beaufort Building, University College Cork, Haulbowline Road, Ringaskiddy, Co. Cork, Ireland;6. School of Natural Sciences (Zoology), Martin Ryan Institute, National University of Ireland Galway, University Road, Galway, Ireland;7. Centre for Environment, Fisheries & Aquaculture Science (Cefas), Pakefield Road, NR33 0HT Lowestoft, United Kingdom;8. ISOTECH Ltd Environmental Research and Consultancy, 1 Kalliopis Str. & Larnakos Ave., Apt. 401, 2102 Aglantzia, Nicosia, Cyprus |
| |
| Abstract: | The paper is focused on signaling traffic between Gnutella peers that implement the latest Gnutella protocol specifications (v0.6). In particular, we provide analytically tractable statistical models at session level, message level and IP datagram level for traffic crossing a Gnutella ultrapeer at Blekinge Institute of Technology (BTH) in Karlskrona, Sweden. To the best of our knowledge this is the first work that provides Gnutella v0.6 statistical models at this level of detail. These models can be implemented straightforward in network simulators such as ns2 and OmNet++.The results show that incoming requests to open a session follow a Poisson distribution. Incoming Gnutella messages across all established sessions can be described by a compound Poisson distribution. Mixture distribution models for message transfer rates include a heavy-tailed component. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
