<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cicalese, Danilo</style></author><author><style face="normal" font="default" size="100%">Auge, Jordan</style></author><author><style face="normal" font="default" size="100%">Joumblatt, Diana</style></author><author><style face="normal" font="default" size="100%">Rossi, Dario</style></author><author><style face="normal" font="default" size="100%">Friedman, Timur</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Anycast census and geolocation</style></title><secondary-title><style face="normal" font="default" size="100%">7th Workshop on Active Internet Measurements (AIMS 2015)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">April 2015</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.enst.fr/ drossi/paper/rossi15aims.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cicalese, Danilo</style></author><author><style face="normal" font="default" size="100%">Auge, Jordan</style></author><author><style face="normal" font="default" size="100%">Joumblatt, Diana</style></author><author><style face="normal" font="default" size="100%">Friedman, Tim ur</style></author><author><style face="normal" font="default" size="100%">Rossi, Dario</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Characterizing IPv4 Anycast Adoption and Deployment</style></title><secondary-title><style face="normal" font="default" size="100%">ACM CoNEXT</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">12/2015</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.enst.fr/ drossi/paper/rossi15conext.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">ACM</style></publisher><pub-location><style face="normal" font="default" size="100%">Heidelberg, DE</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cicalese, Danilo</style></author><author><style face="normal" font="default" size="100%">Joumblatt, Diana</style></author><author><style face="normal" font="default" size="100%">Rossi, Dario</style></author><author><style face="normal" font="default" size="100%">Buob, Marc-Olivier</style></author><author><style face="normal" font="default" size="100%">Auge, Jordan</style></author><author><style face="normal" font="default" size="100%">Friedman, Timur</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Fistful of Pings: Accurate and Lightweight Anycast Enumeration and Geolocation</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE INFOCOM</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">04/2015</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.enst.fr/ drossi/paper/rossi15infocom.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bocchi, Enrico</style></author><author><style face="normal" font="default" size="100%">Safari, Ali</style></author><author><style face="normal" font="default" size="100%">Traverso, Stefano</style></author><author><style face="normal" font="default" size="100%">Finamore, Alessandro</style></author><author><style face="normal" font="default" size="100%">Di Gennaro, Valeria</style></author><author><style face="normal" font="default" size="100%">Mellia, Marco</style></author><author><style face="normal" font="default" size="100%">Munafo, Maurizio</style></author><author><style face="normal" font="default" size="100%">Rossi, Dario</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Impact of Carrier-Grade NAT on Web Browsing</style></title><secondary-title><style face="normal" font="default" size="100%"> 6th International Workshop on TRaffic Analysis and Characterization (TRAC) - The paper won the BEST PAPER award</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2015</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.enst.fr/ drossi/paper/rossi15trac.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Dobrovnik, Croatia</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Public IPv4 addresses are a scarce resource. While IPv6 adoption is lagging, Network Address Translation (NAT) technologies have been deployed over the last years to alleviate IPv4 exiguity and their high rental cost. In particular, Carrier- Grade NAT (CGN) is a well known solution to mask a whole ISP network behind a limited amount of public IP addresses, significantly reducing expenses. Despite its economical benefits, CGN can introduce connectiv- ity issues which have sprouted a considerable effort in research, development and standardization. However, to the best of our knowledge, little effort has been dedicated to investigate the impact that CGN deployment may have on users’ traffic. This paper fills the gap. We leverage passive measurements from an ISP network deploying CGN and, by means of the Jensen- Shannon divergence, we contrast several performance metrics considering customers being offered public or private addresses. In particular, we gauge the impact of CGN presence on users’ web browsing experience. Our results testify that CGN is a mature and stable technology as, if properly deployed, it does not harm users’ web browsing experience. Indeed, while our analysis lets emerge expected stochastic differences of certain indexes (e.g., the difference in the path hop count), the measurements related to the quality of users’ browsing are otherwise unperturbed. Interestingly, we also observe that CGN protects customers from unsolicited, often malicious, traffic.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cicalese, Danilo</style></author><author><style face="normal" font="default" size="100%">Joumblatt, Diana</style></author><author><style face="normal" font="default" size="100%">Rossi, Dario</style></author><author><style face="normal" font="default" size="100%">Buob, Marc-Olivier</style></author><author><style face="normal" font="default" size="100%">Auge, Jordan</style></author><author><style face="normal" font="default" size="100%">Friedman, Timur</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Lightweight Anycast Enumeration and Geolocation</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE INFOCOM, Demo Session</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.enst.fr/ drossi/paper/rossi15infocom-b.pdf</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Hong Kong, China</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Espinet, François</style></author><author><style face="normal" font="default" size="100%">Joumblatt, Diana</style></author><author><style face="normal" font="default" size="100%">Rossi, Dario</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Zen and the art of network troubleshooting: a hands on experimental study</style></title><secondary-title><style face="normal" font="default" size="100%">Traffic Monitoring and Analysis</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.enst.fr/ drossi/paper/rossi15tma.pdf</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Colabrese, Silvia</style></author><author><style face="normal" font="default" size="100%">Rossi, Dario</style></author><author><style face="normal" font="default" size="100%">Mellia, Marco</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Aggregation of Statistical Data from Passive Probes: Techniques and Best Practices</style></title><secondary-title><style face="normal" font="default" size="100%">Traffic Monitoring and Analysis</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Data aggregation</style></keyword><keyword><style  face="normal" font="default" size="100%">data reduction</style></keyword><keyword><style  face="normal" font="default" size="100%">scalability problem</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/978-3-642-54999-1_4</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer Berlin Heidelberg</style></publisher><volume><style face="normal" font="default" size="100%">8406</style></volume><pages><style face="normal" font="default" size="100%">38-50</style></pages><isbn><style face="normal" font="default" size="100%">978-3-642-54998-4</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Passive probes continuously generate statistics on large number of metrics, that are possibly represented as probability mass functions (pmf). The need for consolidation of several pmfs arises in two contexts, namely: (i) whenever a central point collects and aggregates measurement of multiple disjoint vantage points, and (ii) whenever a local measurement processed at a single vantage point needs to be distributed over multiple cores of the same physical probe, in order to cope with growing link capacity. In this work, we take an experimental approach and study both cases using, whenever possible, open source software and datasets. Considering different consolidation strategies, we assess their accuracy in estimating pmf deciles (from the 10th to the 90th) of diverse metrics, obtaining general design and tuning guidelines. In our dataset, we find that Monotonic Spline Interpolation over a larger set of percentiles (e.g., adding 5th, 10th, 15th, and so on) allow fairly accurate pmf consolidation in both the multiple vantage points (median error is about 1%, maximum 30%) and local processes (median 0.1%, maximum 1%) cases.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Imbrenda, Claudio</style></author><author><style face="normal" font="default" size="100%">Muscariello, Luca</style></author><author><style face="normal" font="default" size="100%">Rossi, Dario</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Analyzing Cacheable Traffic in ISP Access Networks for Micro CDN applications via Content-Centric Networking</style></title><secondary-title><style face="normal" font="default" size="100%">ACM SIGCOMM Information Centric Networks (ICN)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">09/2014</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.enst.fr/ drossi/paper/rossi14icn-c.pdf</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Paris, FR</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Nassopulos, Georges</style></author><author><style face="normal" font="default" size="100%">Rossi, Dario</style></author><author><style face="normal" font="default" size="100%">Gringoli, Francesco</style></author><author><style face="normal" font="default" size="100%">Nava, Lorenzo</style></author><author><style face="normal" font="default" size="100%">Dusi, Maurizio</style></author><author><style face="normal" font="default" size="100%">Santiago del Rio, PedroMaria</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Flow Management at Multi-Gbps: Tradeoffs and Lessons Learned</style></title><secondary-title><style face="normal" font="default" size="100%">Traffic Monitoring and Analysis</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/978-3-642-54999-1_1</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer Berlin Heidelberg</style></publisher><volume><style face="normal" font="default" size="100%">8406</style></volume><pages><style face="normal" font="default" size="100%">1-14</style></pages><isbn><style face="normal" font="default" size="100%">978-3-642-54998-4</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>