Recently, we did an unscientific (and really, I cannot stress that word enough) but real-world test of performance using the Ono plugin for BitTorrent client Vuze/Azureus. Our results were inconclusive.

David Choffnes, the author of the Ono plugin, responded to the test in our comments section of that article:

Regarding your results, it is difficult to run controlled experiments because even when you download the same torrent, you're doing it at different times with necessarily different swarms. My research group's evaluation is not limited by this, and we showed that performance improves *on average*.

Also note that if Ono doesn't find any nearby peers, it can't help your performance. You can see if Ono found nearby peers (and is using them) in the "Ono" plugin view … Also, the plugin's effectiveness is limited by the fact that "only" 180,000 users have installed Ono. The more people use it, the more likely you'll find nearby peers.

One last point -- even when Ono doesn't dramatically improve performance, it encourages better "Internet citizen" behavior. Why transfer data from halfway across the world when you can get the same data and (potentially better) performance from peers nearby? Ono makes it easier to do the latter, which should eventually help everyone using the Internet.

Ono is part of Aqualab, a Northwestern University computer science project researching large-scale distributed computing. Choffnes, a doctoral candidate, will present his findings at SIGCOMM next month, and his paper on the subject can be found here – which is great if you like trigonometric functions in your technical literature.

There’s also a telling paragraph which may explain why we got the results we did for our tests (other than just the random variability of different BitTorrent swarms), instead of a massive throughput boost.

In our analysis, we compare statistics from peers located by Ono (referred to as Ono-recommended peers) to those from all peers selected at random by the BitTorrent protocol, which also includes those located by Ono.

In Network Performance Daily's analysis, we compared statistics from peers located by Ono combined with peers selected at random from the BitTorrent protocol, against only peers selected at random from the BitTorrent protocol.

To determine the cosine similarity value for a peer, Ono must be able to compare its ratio maps with those of other peers. The latter information can be obtained in a number of ways: through direct exchange between peers, from distributed storage and from trackers. Ono currently supports the first two options. With direct exchange, when two peers running the Ono plugin perform their connection handshake, the peers swap ratio maps directly… Though Ono enjoys a large user base, it is still a small fraction of the total BitTorrent population. Thus Ono also attempts to perform DNS lookups on behalf of other peers that it encounters, to determine their ratio maps. This enables Ono to perform biased peer selection over a much larger set of peers, including those not running the Azureus client. From both direct exchange of ratio maps and DNS lookups, our Ono clients locate over 180, 000 peers per day using our CDN-based approach.

When Ono determines that a peer has similar redirection behavior, it attempts to bias traffic toward that peer by ensuring there is always a connection to it, which minimizes the time that the peer is choked. Due to limitations of the Azureus plugin API, we are currently unable to bias other aspects of peer connections, e.g., the bandwidth allocated to each connection.

In addition to Ono, Aqualab also does other projects that are designed for improving Internet performance in a number of other areas. Choffnes’s advisor, Dr. Fabian Bustamante, has been working on "sustainable scalability in distributed systems,” called the 3R project. Many P2P and internet VoIP systems are built in a way that routing is controlled at the application layer, and that in order to identify better paths and faster throughput, the application probes the network environment repeatedly, as the application has no quick way to determine whether a particular peer or node is performing well except by trying to connect to it. The 3R project seeks to decrease probing by re-using the view of the network gathered by long-running, ubiquitous services.

While enterprise networking and Internet networking are two different beasts, performance advances in one usually lead to advances in the other, and with cloud computing promising to make enterprise networking a hybrid of LAN, WAN, and Internet connectivity, these advances remain important.