@inproceedings {Cas2015d, title = {Taming QoE in Cellular Networks: from Subjective Lab Studies to Measurements in the Field}, booktitle = {IRTF \& ISOC Workshop on Research and Applications of Internet Measurements (RAIM)}, year = {2015}, month = {11/2015}, author = {P Casas and B Gardlo and M Seufert and F Wamser and R Schatz} } @inproceedings {Cas2015c, title = {Taming QoE in Cellular Networks: from Subjective Lab Studies to Measurements in the Field}, booktitle = {11th International Conference on Network and Service Management (CNSM)}, year = {2015}, month = {10/2015}, author = {P Casas and B Gardlo and M Seufert and F Wamser and R Schatz} } @inproceedings {Ede2015a, title = {Towards a Middlebox Policy Taxonomy: Path Impairments}, booktitle = {International Workshop on Network Science for Communication Networks (NetSciCom)}, year = {2015}, month = {04/2015}, abstract = {

Recent years have seen the rise of middleboxes, such as firewalls, NATs, proxies,\ or Deep Packet Inspectors. Those middleboxes play an important role in today{\textquoteright}s\ Internet, including enterprise networks and cellular networks. However, despite\ their huge success in modern network architecture, they have a negative impact\ on the Internet evolution as they can slow down the TCP protocol evolution and its\ extensions. Making available a summary of the potential middlebox network\ interferences is of the highest importance as it could allow researchers to\ confront their new transport protocol to potential issues caused by middleboxes.\ And, consequently, allowing again innovation in the Internet.

This is exactly what we tackle in this paper. We propose a path impairment\ oriented middlebox taxonomy that aims at categorizing the initial purpose of a\ middlebox policy as well as its potential unexpected complications. Based on a\ measurement campaign on IPv4 and IPv6 networks, we confront our taxonomy to the\ real world. Our dataset is freely available.

}, keywords = {classification, IPv6, middleboxes, path impairment, tracebox}, author = {Korian Edeline and Benoit Donnet} } @inproceedings {Fia2015, title = {Towards Automatic Detection and Diagnosis of Internet Service Anomalies via DNS Traffic Analysis}, booktitle = {6th International Workshop on Traffic Analysis and Characterization (TRAC)}, year = {2015}, author = {Pierdomenico Fiadino and Alessandro D{\textquoteright}Alconzo and Mirko Schiavone and Pedro Casas} } @inproceedings {Was2015, title = {Towards DisNETPerf: a Distributed Internet Paths Performance Analyzer}, booktitle = {The 11th International Conference on emerging Networking EXperiments and Technologies - CoNEXT 2015}, year = {2015}, month = {11/2015}, abstract = {

For more than 25 years now, traceroute has demonstrated its supremacy for network-path measurement, becoming the most widely used Internet path diagnosis tool today. A major limitation of traceroute when the destination is not controllable by the user is its inability to measure reverse paths, i.e., the path from a destination back to the source. Proposed techniques to address this issue \ rely on IP address spoofing, which might lead to security concerns. In this paper we introduce and evaluate DisNETPerf, a new tool for locating probes that are the closest to a distant server. Those probes are then used to collect data from the server point-of-view to the service user for path performance monitoring and troubleshooting purposes. We propose two techniques for probe location, and demonstrate that the reverse path can be measured with very high accuracy in certain scenarios.

}, author = {Sarah Wassermann and Pedro Casas and Benoit Donnet} } @inproceedings {Thi2015a, title = {Tracking Middleboxes in the Mobile World with TraceboxAndroid}, booktitle = {7th International Workshop on Traffic Monitoring and Analysis (TMA)}, year = {2015}, month = {04/2015}, abstract = {

Middleboxes 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.

}, keywords = {Android, tracebox}, author = {Valentin Thirion and Korian Edeline and Benoit Donnet} } @inproceedings {2015a, title = {Troubleshooting Web Sessions with CUSUM}, year = {2015} } @article {Tra2013, title = {Temporal locality in today{\textquoteright}s content caching: why it matters and how to model it}, journal = {ACM SIGCOMM Computer Communication Review}, volume = {43}, year = {2013}, month = {10/2013}, chapter = {5}, abstract = {

The dimensioning of caching systems represents a difficult task in the design of infrastructures for content distribution in the current Internet. This paper addresses the problem of defining a realistic arrival process for the content requests generated by users, due its critical importance for both analytical and simulative evaluations of the performance of caching systems. First, with the aid of YouTube traces collected inside operational residential networks, we identify the characteristics of real traffic that need to be considered or can be safely neglected in order to accurately predict the performance of a cache. Second, we propose a new parsimonious traffic model, named the Shot Noise Model (SNM), that enables users to natively capture the dynamics of content popularity, whilst still being suf- ficiently simple to be employed effectively for both analytical and scalable simulative studies of caching systems. Finally, our results show that the SNM presents a much better solution to account for the temporal locality observed in real traffic compared to existing approaches.

}, doi = {10.1145/2541468.2541470}, author = {Stefano Traverso and Mohamed Ahmed and Michele Garetto and Paolo Giaccone and Emilio Leonardi and Saverio Niccolini} } @inproceedings {Ale2013, title = {Is There a Case for Mobile Phone Content Pre-staging?}, booktitle = {Proceedings of the Ninth ACM Conference on Emerging Networking Experiments and Technologies (Best Short Paper Award)}, year = {2013}, month = {12/2013}, publisher = {ACM}, organization = {ACM}, address = {New York, NY, USA}, abstract = {

Content caching is a fundamental building block of the Internet. Caches are widely deployed at network edges to improve performance for end-users, and to reduce load on web servers and the backbone network. Considering mobile 3G/4G networks, however, the bottleneck is at the access link, where bandwidth is shared among all mobile terminals. As such, per-user capacity cannot grow to cope with the traffic demand. Unfortunately, caching policies would not reduce the load on the wireless link which would have to carry multiple copies of the same object that is being downloaded by multiple mobile terminals sharing the same access link.

In this paper we investigate if it is worth to push the caching paradigm even farther. We hypothesize a system in which mobile terminals implement a local cache, where popular content can be pushed/pre-staged. This exploits the peculiar broadcast capability of the wireless channels to replicate content "for free" on all terminals, saving the cost of transmitting multiple copies of those popular objects. Relying on a large data set collected from a European mobile carrier, we analyse the content popularity characteristics of mobile traffic, and quantify the benefit that the push-to-mobile system would produce. We found that content pre-staging, by proactively and periodically broadcasting "bundles" of popular objects to devices, allows to both greatly i) improve users{\textquoteright} performance and ii) reduce up to 20\% (40\%) the downloaded volume (number of requests) in optimistic scenarios with a bundle of 100 MB. However, some technical constraints and content characteristics could question the actual gain such system would reach in practice.

}, keywords = {content pre-staging, mobile networks}, isbn = {978-1-4503-2101-3}, doi = {10.1145/2535372.2535414}, url = {http://doi.acm.org/10.1145/2535372.2535414}, author = {Finamore, Alessandro and Mellia, Marco and Gilani, Zafar and Papagiannaki, Konstantina and Erramilli, Vijay and Grunenberger, Yan} } @inproceedings {Chi2013a, title = {To the Moon and back: are Internet bufferbloat delays really that large}, booktitle = {IEEE INFOCOM Workshop on Traffic Monitoring and Analysis (TMA{\textquoteright}13)}, year = {2013}, doi = {10.1109/INFCOMW.2013.6562886}, url = {http://www.enst.fr/~drossi/paper/rossi13tma-a.pdf}, author = {C. Chirichella and D Rossi} }