The Available Bandwidth (AB) of an end-to-end path is its remaining capacity and it is an important metric for several applications such as overlay routing and P2P networking. That is why many AB estimation tools have been published recently. Most of these tools use the Probe Rate Model, which requires sending packet trains at a rate matching the AB. Its main issue is that it congests the path under measurement. We present a different approach: a novel passive methodology to estimate the AB that does not introduce probe traffic. Our methodology, intended to be applied between two separate nodes, estimates the path’s AB by analyzing specific parameters of the traffic exchanged. The main challenge is that we cannot rely on any given rate of this traffic. Therefore we rely on a different model, the Utilization Model. In this paper we present our passive methodology and a tool (PKBest) based on it. We evaluate its applicability and accuracy using public NLANR data traces. Our results -more than 300Gb- show that our tool is more accurate than pathChirp, a state-of-the-art active PRM-based tool. At the best of the authors’ knowledge this is the first passive AB estimation methodology.
We have developed a LISP simulator (CoreSim). CoreSim is an Internet-scale LISP deployment simulator. It is able to replay a packet trace and simulate the behavior of a LISP Ingress Tunnel Router (ITR) and the associated Mapping Resolver, on top of a topology based on measurements performed by the iPlane infrastructure. It reports mapping lookup latency, the load imposed on each node of the MS and cache performance statistics. The simulator implements LISP-ALT and LISP-DHT. In this technical report we validate our LISP-DHT implementation, present an estimator for the latencies not reported by iPlane and discuss the architecture of CoreSim.
Wireless technologies are rapidly evolving and the users are demanding the possibility of changing its point of attachment to the Internet (i.e Access Router) without breaking the IP communications. This can be achieved by using Mobile IPv6. However mobile clients must forwards its data packets addressed towards its home network through a special entity, the Home Agent (HA). This HA is a key point when considering the performance of Mobile IPv6-based networks.