@inproceedings {DR:AIMS-15, title = {Anycast census and geolocation}, booktitle = {7th Workshop on Active Internet Measurements (AIMS 2015)}, year = {2015}, month = {April 2015}, url = {http://www.enst.fr/~drossi/paper/rossi15aims.pdf}, author = {Cicalese, Danilo and Auge, Jordan and Joumblatt, Diana and Rossi, Dario and Friedman, Timur} } @inproceedings {DR:CoNEXT-15, title = {Characterizing IPv4 Anycast Adoption and Deployment}, booktitle = {ACM CoNEXT}, year = {2015}, month = {12/2015}, publisher = {ACM}, organization = {ACM}, address = {Heidelberg, DE}, url = {http://www.enst.fr/~drossi/paper/rossi15conext.pdf}, author = {Cicalese, Danilo and Auge, Jordan and Joumblatt, Diana and Friedman, Tim ur and Rossi, Dario} } @inproceedings {DR:INFOCOM-15a, title = {A Fistful of Pings: Accurate and Lightweight Anycast Enumeration and Geolocation}, booktitle = {IEEE INFOCOM}, year = {2015}, month = {04/2015}, abstract = {

Use of IP-layer anycast has increased in the last few years: once relegated to DNS root and top-level domain servers, anycast is now commonly used to assist distribution of general purpose content by CDN providers. Yet, the measurement techniques for discovering anycast replicas have been designed around DNS, limiting their usefulness to this particular service. This raises the need for protocol agnostic methodologies, that should additionally be as lightweight as possible in order to scale up anycast service discovery. This is precisely the aim of this paper, which proposes a new method for exhaustive and accurate enumeration and city-level geolocation of anycast instances, requiring only a handful of latency measurements from a set of known vantage points. Our method exploits an iterative workflow that enumerates (an optimization problem) and geolocates (a classification problem) anycast replicas. We thoroughly validate our methodology on available ground truth (several DNS root servers), using multiple measurement infrastructures (PlanetLab, RIPE), obtaining extremely accurate results (even with simple algorithms, that we compare with the global optimum), that we make available to the scientific community. Compared to the state of the art work that appeared in INFOCOM 2013 and IMC 2013, our technique (i) is not bound to a specific protocol, (ii) requires 1000 times fewer vantage points, not only (iii) achieves over 50\% recall but also (iv) accurately identifies the city-level geolocation for over 78\% of the enumerated servers, with (v) a mean geolocation error of 361 km for all enumerated servers.

}, url = {http://www.enst.fr/~drossi/paper/rossi15infocom.pdf}, author = {Cicalese, Danilo and Joumblatt, Diana and Rossi, Dario and Buob, Marc-Olivier and Auge, Jordan and Friedman, Timur} } @inproceedings {DR:INFOCOM-15b, title = {A Lightweight Anycast Enumeration and Geolocation}, booktitle = {IEEE INFOCOM, Demo Session}, year = {2015}, address = {Hong Kong, China}, abstract = {

Several Internet services such as CDNs, DNS name servers, and sinkholes use IP-layer anycast to reduce user response times and increase robustness with respect to network failures and denial of service attacks. However, current geolocation tools fail with anycast IP addresses. In our recent work [1], we remedy to this by developing an anycast detection, enumeration, and geolocation technique based on a set of delay measurements from a handful of geographically distributed vantage points. The technique (i) detects if an IP is anycast, (ii) enumerates replicas by finding the maximum set of non-overlapping disks (i.e., areas centered around vantage points), and (iii) geolocates the replicas by solving a classification problem and assigning the server location to the most likely city. We propose to demo this technique. In particular, we visually show how to detect an anycast IP, enumerate its replicas, and geolocate them on a map. The demo allows to browse previously geolocated services, as well as to explore new targets on demand.

}, url = {http://www.enst.fr/~drossi/paper/rossi15infocom-b.pdf}, author = {Cicalese, Danilo and Joumblatt, Diana and Rossi, Dario and Buob, Marc-Olivier and Auge, Jordan and Friedman, Timur} } @inproceedings {DR:TMA-15, title = {Zen and the art of network troubleshooting: a hands on experimental study}, booktitle = {Traffic Monitoring and Analysis}, year = {2015}, abstract = {

Growing network complexity necessitates tools and methodologies to automate network troubleshooting. In this paper, we follow a crowd-sourcing trend, and argue for the need to deploy measurement probes at end-user devices and gateways, which can be under the control of the users or the ISP. Depending on the amount of information available to the probes (e.g., ISP topology), we formalize the network troubleshooting task as either a clustering or a classification problem, that we solve with an algorithm that (i) achieves perfect classification under the assumption of a strategic selection of probes (e.g., assisted by an ISP) and (ii) operates blindly with respect to the network performance metrics, of which we consider delay and bandwidth in this paper. While previous work on network troubleshooting privileges a more theoretical vs practical approaches, our workflow balances both aspects as (i) we conduct a set of controlled experiments with a rigorous and reproducible methodology, (ii) on an emulator that we thoroughly calibrate, (iii) contrasting experimental results affected by real-world noise with expected results from a probabilistic model.

}, url = {http://www.enst.fr/~drossi/paper/rossi15tma.pdf}, author = {Espinet, Fran{\c c}ois and Joumblatt, Diana and Rossi, Dario} }