The reconvergence of routing protocols in response to changes in network topology can impact application performance. While improvements in protocol specification and implementation have significantly reduced reconvergence times, increasingly performance-sensitive applications continue to raise the bar for these protocols. As such, monitoring the performance of routing protocols remains a critical activity for network operators. We design tool{}, a tool based on passive data plane measurements that we use in conjunction with control plane monitors for offline debugging and analysis of forwarding table dynamics. We discuss practical constraints that affect tool{}, and show how they can be addressed in real deployment scenarios. As an application of tool{}, we study forwarding table updates by backbone routers at a tier-1 ISP. We detect interesting behavior such as delayed forwarding table updates and routing loops due to buggy routers -- confirmed by network operators -- that are not detectable using traditional control plane monitors.

Chronic network conditions are caused by performance impairing events that occur intermittently over an extended period of time. Such conditions can cause repeated performance degradation to customers, and sometimes can even turn into serious hard failures. It is therefore critical to troubleshoot and repair chronic network conditions in a timely fashion in order to ensure high reliability and performance in large IP networks. Today, troubleshooting chronic conditions is often performed manually, making it a tedious, time-consuming and error-prone process.

The Border Gateway Protocol (BGP) allows each autonomous system (AS) to select routes to destinations based on semantically rich and locally determined policies. This autonomously exercised policy freedom can cause instability, where unresolvable policy-based disputes in the network result in interdomain route oscillations. Several recent works have established that such instabilities can only be eliminated by enforcing a globally accepted preference ordering on routes (such as shortest path). To resolve this conflict between policy autonomy and system stability, we propose a distributed mechanism that enforces a preference ordering only when disputes resulting in oscillations exist. This preserves policy freedom when possible, and imposes stability when required.

It is well-known that BGP, the current inter-domain routing protocol, has many deficiencies. This paper describes a hybrid link-state and path-vector protocol called HLP as an alternative to BGP that has vastly better scalability, isolation and convergence properties. Using current BGP routing information, we show that HLP, in comparison to BGP, can reduce the churn-rate of route updates by a factor 400 as well as isolate the effect of routing events to a region 100 times smaller than that of BGP. For a majority of Internet routes, HLP guarantees worst-case linear-time convergence. We also describe a prototype implementation of HLP on top of the XORP router platform. HLP is not intended to be a finished and final proposal for a replacement for BGP, but is instead offered as a starting point for debates about the nature of the next-generation inter-domain routing protocol.

In this paper we propose a distributed and scalable algorithm that eliminates congestion within a sensor network, and that ensures the fair delivery of packets to a central node, or base station. We say that fairness is achieved when equal number of packets are received from each node. Since in general we have many sensors transmitting data to the base station, we consider the scenario where we have manyto-one multihop routing, noting that it can easily be extended to unicast or many-to-many routing. Such routing structures often result in the sensors closer to the base station experiencing congestion, which inevitably cause packets originating from sensors further away from the base station to have a higher probability of being dropped. Our algorithm exists in the transport layer of the traditional network stack model, and is designed to work with any MAC protocol in the data-link layer with minor modifications. Our solution is scalable, each sensor mote requires state proportional to the number of its neighbors. Finally, we demonstrate the effectiveness of our solution with both simulations and actual implementation in UC Berkeley’s sensor motes.