Incentives for BGP Guided IP-Level Topology Discovery

peer reviewedInternet topology discovery has been an attractive research field during the past decade. In particular, the research community was interested in modeling the network as well as providing efficient tools, mostly based on traceroute, for collecting data. In this paper, we follow this track of rendering traceroute-based exploration more efficient. We discuss incentives for coupling passive monitoring and active measurements. In particular, we show that high-level information, such as BGP updates, might be used to trigger targeted traceroutes. As a result, the network dynamics might be better capture. We also provide a freely available tool for listening to BGP feeds and triggering dedicated traceroutes

Tracking Middleboxes in the Mobile World with TraceboxAndroid

peer reviewedMiddleboxes are largely deployed over cellular networks. It is known that they might disrupt network performance, expose users to security issues, and harm protocols deployability. Further, hardly any network measurements tools for smartphones are able to infer middlebox behaviors, specially if one cannot control both ends of a path. In this paper, we present TraceboxAndroid a proof-of-concept measurement application for Android mobile devices implementing the tracebox algorithm. It aims at diagnosing middlebox-impaired paths by detecting and locating rewriting middleboxes. We analyze a dataset sample to highlight the range of opportunities offered by TraceboxAndroid. We show that TraceboxAndroid can be useful for mobile users as well as for the research community

Ingress Point Spreading: A New Primitive for Adaptive Active Network Mapping

Abstract. Among outstanding challenges to Internet-wide topology mapping using active probes is balancing efficiency, e.g. induced load and time, with coverage. Toward maximizing probe utility, we introduce Ingress Point Spreading (IPS). IPS utilizes ingress diversity discovered in prior rounds of probing to rank-order available vantage points such that future probes traverse all known paths into a target network. We implement and deploy IPS to probe ∼49k random prefixes drawn from the global BGP table using a distributed collection of vantage points. As compared to existing mapping systems, we discover 12% more unique vertices and 12% more edges using ∼50% fewer probes, in half the time

Evaluation of a Large-Scale Topology Discovery Algorithm

peer reviewedIn the past few years, the network measurement community has been interested in the problem of internet topology discovery using a large number (hundreds or thousands) of measurement monitors. The standard way to obtain information about the internet topology is to use the traceroute tool from a small number of monitors. Recent papers have made the case that increasing the number of monitors will give a more accurate view of the topology. However, scaling up the number of monitors is not a trivial process. Duplication of effort close to the monitors wastes time by reexploring well-known parts of the network, and close to destinations might appear to be a distributed denial-of-service (DDoS) attack as the probes converge from a set of sources towards a given destination. In prior work, authors of this paper proposed Doubletree, an algorithm for cooperative topology discovery, that reduces the load on the network, i.e., router IP interfaces and end-hosts, while discovering almost as many nodes and links as standard approaches based on traceroute. This paper presents our open-source and freely downloadable implementation of Doubletree in a tool we call traceroute@home. We evaluate the performance of our implementation on the PlanetLab testbed and discuss a large-scale monitoring infrastructure that could benefit of Doubletree

ISP Probing Reduction with Anaximander

peer reviewedSince the early 2000's, Internet topology discovery has been an active research topic, providing data for various studies such as Internet modeling, network management, or to assist and support network protocol design. Within this research area, ISP mapping at the router level has attracted little interest despite its utility to perform intra-domain routing evaluation. Since Rocketfuel (and, to a smaller extent, mrinfo), no new tool or method has emerged for systematically mapping intra-domain topologies. In this paper, we introduce Anaximander, a new efficient approach for probing and discovering a targeted ISP in particular. Considering a given set of vantage points, we implement and combine several predictive strategies to mitigate the number of probes to be sent without sacrificing the ISP coverage. To assess the ability of our method to efficiently retrieve an ISP map, we rely on a large dataset of ISPs having distinct nature and demonstrate how Anaximander can be tuned with a simple parameter to control the trade-off between coverage and probing budget

可量化的移动Ad Hoc网络时空动态特性评估方法

移动模型是Ad Hoc网络区别于其他形式网络的重要标志,对其产生的动态网络特性(简称动态特性)进行评估,是研究Ad Hoc网络的协议仿真和网络相关技术(如拓扑控制和网络性能测量等)的基础性问题.在已有研究的基础上,改进了网络的模型化描述,克服了以往模型无法很好地描述相关联的时空动态特性的缺陷,并在此基础上,提出了移动模型通用的可量化时空动态特性评估方法.通过构建节点空间位置分布,建立网络拓扑时空动态特性的分析模型,深入研究了几种移动模型的动态性.提出一种圆周曲线移动模型,弥补了以往移动模型难以描述现实的曲线移动场景.仿真实验结果表明,该方法能够有效地对现有移动模型的动态性进行评估.实验结果表明,圆周曲线移动模型与以往移动模型相比,具有良好的时空动态特性