After several IPv4 address exhaustion milestones in the last three years, it is becoming apparent that the world is running out of IPv4 addresses, and the adoption of the next generation Internet protocol, IPv6, though nascent, is accelerating. In order to better understand this unique and disruptive transition, we explore twelve metrics using ten global-scale datasets to create the longest and broadest measurement of IPv6 adoption to date. Using this perspective, we find that adoption, relative to IPv4, varies by two orders of magnitude depending on the measure examined and that care must be taken when evaluating adoption metrics in isolation. Further, we find that regional adoption is not uniform. Finally, and perhaps most surprisingly, we find that over the last three years, the nature of IPv6 utilization-in terms of traffic, content, reliance on transition technology, and performance-has shifted dramatically from prior findings, indicating a maturing of the protocol into production mode. We believe IPv6's recent growth and this changing utilization signal a true quantum leap.

The more information about current network conditions available to a transport protocol, the more efficiently it can use the network to transfer its data. In networks such as the Internet, the transport protocol must often form its own estimates of network properties based on measurements performed by the connection endpoints. We consider two basic transport estimation problems: determining the setting of the retransmission timer (RTO) for a reliable protocol, and estimating the bandwidth available to a connection as it begins. We look at both of these problems in the context of TCP, using a large TCP measurement set [Pax97b] for trace-driven simulations. For RTO estimation, we evaluate a number of different algorithms, finding that the performance of the estimators is dominated by their minimum values, and to a lesser extent, the timer granularity, while being virtually unaffected by how often round-trip time measurements are made or the settings of the parameters in the exponentially-weighted moving average estimators commonly used. For bandwidth estimation, we explore techniques previously sketched in the literature [Hoe96, AD98] and find that in practice they perform less well than anticipated. We then develop a receiver-side algorithm that performs significantly better.

Understanding, measuring, and debugging IP networks, particularly across administrative domains, is challenging. One particularly daunting aspect of the challenge is the presence of transparent middleboxes-which are now common in today's Internet. In-path middleboxes that modify packet headers are typically transparent to a TCP, yet can impact end-to-end performance or cause blackholes. We develop TCP HICCUPS to reveal packet header manipulation to both endpoints of a TCP connection. HICCUPS permits endpoints to cooperate with currently opaque middleboxes without prior knowledge of their behavior. For example, with visibility into end-to-end behavior, a TCP can selectively enable or disable performance enhancing options. This cooperation enables protocol innovation by allowing new IP or TCP functionality (e.g., ECN, SACK, Multipath TCP, Tcpcrypt) to be deployed without fear of such functionality being misconstrued, modified, or blocked along a path. HICCUPS is incrementally deployable and introduces no new options. We implement and deploy TCP HICCUPS across thousands of disparate Internet paths, highlighting the breadth and scope of subtle and hard to detect middlebox behaviors encountered. We then show how path diagnostic capabilities provided by HICCUPS can benefit applications and the network.