Deep Diving into BitTorrent Locality

Ruben Cuevans -- Univ Carlos III de Madrid, Nikolaos Laoutaris, Xiaoyuan Yang, Georgos Siganos and Pablo Rodriguez

This paper looks at P2P traffic over bittorrent from a large database of torrents. The paper considers the effects of localising bittorrent traffic on performance and ISP cost saving.

Data: The data set is one of the impressive things about this paper. 100K torrents of which 40K active. Demographics from 3.9M concurrent users and 21M total users over a day from 11K ISPs. Speed test results from ookla and iplane.

On the predictability of large transfer TCP throughput

Qi He, Constantine Dovrolis and Mostafa Ammar

This paper looks at ways of predicting the TCP throughput of a connection. The assumption is that some information is available about the connection. A comparison is made between “formula based” (FB) prediction, that is using round-trip time and loss versus time series analysis prediction (referred to here as history based (HB)), that is using previous measurements on the same connection. Both approaches require some measurements from the connection already.

The RTT distribution of TCP flows on the Internet and its impact on TCP based flow control

Srinivas Shakkottai, R. Srikant, Nevil Brownlee, Andre Broido and kc claffy
CAIDA technical report

This paper looks at RTT and how they affect TCP flows. Because of limited data they look at how to derive RTTs from analysis of tcpdump data (unidirectional).

Methods of getting estimates of RTT are:

  • SYNSYN-ACKACK – the time stamp between SYN and ACK in triple handshake.

  • Flight method – look at packets with near identical inter-packet times. Calculate time between start of flights (attempt to ignore rate-limited flows).

On the 95 percentile billing method

Xenofontas Dimitropoulos, Paul Hurley, Andreas Kind and Marc Ph. Stoecklin
Passive and Active Measurement Conference

This paper describes the commonly used 95-percentile billing method which is often used by ISPs to bill other ISPs. The 95-percentile billing method is as follows:

  • Set a billing rate $y per Mbps (Megabit per second).

  • Take a month of traffic counts for the entity you wish to bill.

  • Split the traffic into equal sized time periods of length T (often 5 minutes).

  • Calculate the mean rate in Mbps for each time period.

On the relationship between fundamental measurements in TCP flows

Cosener's house Next Generation Networks meeting

Talk to Next Generation Networks meeting -- this talk is partly based on the ICC paper (fundamental relationships in TCP flows) and shows how TCP throughput arises from network parameters and engineering decisions.


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