Network users know much less than ISPs, Internet exchanges and content providers about what happens inside the network. Consequently users cannot either easily detect network neutrality violations or readily exercise their market power by knowledgeably switching ISPs. This paper contributes to the ongoing efforts to empower users by proposing two models to estimate -- via application-level measurements -- a key network indicator, i.e., the packet loss rate (PLR) experienced by FTP-like TCP downloads. Controlled, testbed, and large-scale experiments show that the Inverse Mathis model is simpler and more consistent across the whole PLR range, but less accurate than the more advanced Likely Rexmit model for landline connections and moderate PLR.
Strengthening measurements from the edges: application-level packet loss rate estimation / Basso, Simone; Meo, Michela; DE MARTIN, JUAN CARLOS. - In: COMPUTER COMMUNICATION REVIEW. - ISSN 0146-4833. - 43:3(2013), pp. 45-51. [10.1145/2500098.2500104]
Strengthening measurements from the edges: application-level packet loss rate estimation
BASSO, SIMONE;MEO, Michela;DE MARTIN, JUAN CARLOS
2013
Abstract
Network users know much less than ISPs, Internet exchanges and content providers about what happens inside the network. Consequently users cannot either easily detect network neutrality violations or readily exercise their market power by knowledgeably switching ISPs. This paper contributes to the ongoing efforts to empower users by proposing two models to estimate -- via application-level measurements -- a key network indicator, i.e., the packet loss rate (PLR) experienced by FTP-like TCP downloads. Controlled, testbed, and large-scale experiments show that the Inverse Mathis model is simpler and more consistent across the whole PLR range, but less accurate than the more advanced Likely Rexmit model for landline connections and moderate PLR.File | Dimensione | Formato | |
---|---|---|---|
paper.pdf
accesso aperto
Tipologia:
1. Preprint / submitted version [pre- review]
Licenza:
Creative commons
Dimensione
364.35 kB
Formato
Adobe PDF
|
364.35 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2516320
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo