@inproceedings {Van2016, title = {A Brief History of MPLS Usage in IPv6}, booktitle = {Passive and Active Measurement Conference (PAM)}, year = {2016}, month = {03/2016}, abstract = {

Recent researches have stated the fast deployment of IPv6. It\ has been demonstrated that IPv6 grows much faster, being so more and more\ adopted by both Internet service providers but also by servers and end-hosts.\ In parallel, researches have been conducted to discover and assess the usage of\ MPLS tunnels. Indeed, recent developments in the ICMP protocol make certain
categories of MPLS tunnels transparent to traceroute probing. However, these\ studies focus only on IPv4, where MPLS is strongly deployed.

In this paper, we provide a first look at how MPLS is used under IPv6\ networks using traceroute data collected by CAIDA.\ We have observed, at the first glance, that the MPLS deployment and usage seem to greatly differ between IPv4 and IPv6,\ in particular in the way MPLS label stacks are used. While label stacks are not that frequent\ in IPv4 (and mostly correspond to a VPN usage), they are prevalent in IPv6. \ However, after a deeper look at the label stack typical content in IPv6, we understand that 2-label stack tunnels are mainly used for dual stack 6PE tunnels and ECMP load sharing purpose. \ The technical deployment of such tunnels is really similar to VPN in practice but the objective is not the same (they are standard tunnels made with the IPv4 LDP for carrying IPv6 traffic).

}, keywords = {6PE tunnels, IPv6, LSE Stack, MPLS}, author = {Yves Vanaubel and Pascal M{\'e}rindol and Jean-Jacques Pansiot and Benoit Donnet} } @inproceedings {Ruf2014b, title = {Bandwidth Measurements and Capacity Exploitation in Gigabit Passive Optical Networks}, booktitle = {Fotonica 2014}, year = {2014}, month = {05/2014}, abstract = {

We report an experimental investigation on the
measurement of the available bandwidth for users in Gigabit
Passive Optical Networks (GPON) and the limitations caused by
the Internet protocols. We point out that the huge capacity
offered by the GPON highlights the enormous differences that
can be showed among the available and actually exploitable
bandwidth in the case of TCP. In this ultrabroadband
environment we also investigated on use of the UDP and of the
multisession TCP. A correlation in terms of QoE is also reported.

}, keywords = {access capacity, GPON, QoE, QoS, Throughput}, author = {Arianna Rufini and Edion Tego and Francesco Matera and Marco Mellia} } @article {Mic2013, title = {Basic Network Data Analysis}, number = {D3.1}, year = {2013}, month = {05/2013}, institution = {mPlane Consortium}, type = {Public Deliverable}, address = {Torino}, abstract = {

This document describes the requirements, input, output for the algorithms needed to perform analytic tasks on a large amount of data, in the context of WP3. Starting from the use cases defined in WP1, we identify the algorithms needed to address the various scenario requirements. Operating on a large amount of data, these algorithms strive for parallel and scalable approaches; the designing and implementation of the algorithm itself can be a challenging research task since today very little is known concerning how to develop efficient and scalable algorithms that runs on parallel processing frameworks.
The algorithm in the storage layer are characterized by the fact that they operate on a large amount of data, and produce a concise representation of it, extracting features and aggregating it, so that the produced output is easier to handle and understand. Depending on the amount of data produced, on the scenario characteristics and on the time constraints, algorithms can require a real time (or near real time) or a batch processing.
For each algorithm and use case, the input data and the initial state, the computation to run and the output produced are described.

}, keywords = {algorithms, big data, storage}, issn = {D3.1}, author = {Pietro Michiardi and Antonio Barbuzzi and Alessandro Finamore and Stefano Traverso and Daniele Apiletti and Elena Baralis and Tania Cerquitelli and Silvia Chiusano and Luigi Grimaudo and A. Rufini and Francesco Matera and A. Valentii and Maurizio Dusi and Mohamed Ahmed and Tivadar Szemethy and L. N{\'e}meth and R. Szalay and Ilias Leontiadis and Yan Grunenberger and P. Casas and Alessandro D{\textquoteright}Alconzo and A B{\"a}r and D Rossi and YiXi Gong} } @inproceedings {Dra2013, title = {Benchmarking Personal Cloud Storage}, booktitle = {Internet Measurement Conference - IMC}, year = {2013}, month = {10/2013}, publisher = {ACM}, organization = {ACM}, address = {Barcelona (ES)}, abstract = {

Personal cloud storage services are data-intensive applica- tions already producing a significant share of Internet traffic. Several solutions offered by different companies attract more and more people. However, little is known about each service capabilities, architecture and {\textendash} most of all {\textendash} performance implications of design choices. This paper presents a methodology to study cloud storage services. We apply our methodology to compare 5 popular offers, revealing different system architectures and capabilities. The implications on performance of different designs are assessed executing a series of benchmarks. Our results show no clear winner, with all services suffering from some limitations or having potential for improvement. In some scenarios, the upload of the same file set can take seven times more, wasting twice as much capacity. Our methodology and results are useful thus as both benchmark and guideline for system design.

}, keywords = {Active Measurements, Personal Cloud Storage}, doi = {10.1145/2504730.2504762}, url = {http://www.simpleweb.org/wiki/Cloud_benchmarks}, author = {Idilio Drago and Enrico Bocchi and Marco Mellia and Herman Slatman and Aiko Pras} } @inproceedings {Val2012, title = {Breaking for commercials: characterizing mobile advertising}, booktitle = {Proceedings of the 2012 ACM conference on Internet measurement conference}, year = {2012}, publisher = {ACM}, organization = {ACM}, address = {Boston, MA}, abstract = {

Mobile phones and tablets can be considered as the first incarnation of the post-PC era. Their explosive adoption rate has been driven by a number of factors, with the most signifcant influence being applications (apps) and app markets. Individuals and organizations are able to develop and publish apps, and the most popular form of monetization is mobile advertising.

The mobile advertisement (ad) ecosystem has been the target of prior research, but these works typically focused on a small set of apps or are from a user privacy perspective. In this work we make use of a unique, anonymized data set corresponding to one day of traffic for a major European mobile carrier with more than 3 million subscribers. We further take a principled approach to characterize mobile ad traffic along a number of dimensions, such as overall traffic, frequency, as well as possible implications in terms of en- ergy on a mobile device.

Our analysis demonstrates a number of inefficiencies in today{\textquoteright}s ad delivery. We discuss the benefits of well-known techniques, such as pre-fetching and caching, to limit the energy and network signalling overhead caused by current systems. A prototype im- plementation on Android devices demonstrates an improvement of 50\% in terms of energy consumption for offline ad-sponsored apps while limiting the amount of ad related traffic.\ 

}, keywords = {advertisement, caching, cellular, energy, smartphones, traffic}, isbn = {978-1-4503-1705-4}, doi = {10.1145/2398776.2398812}, url = {http://doi.acm.org/10.1145/2398776.2398812}, author = {Narseo Vallina-Rodriguez and Jay Shah and Alessandro Finamore and Yan Grunenberger and Konstantina Papagiannaki and Hamed Haddadi and Jon Crowcroft} }