DAMN! 2017

Data Analytics for Mobile Network¡ng

Kauna, Big Island, Hawaii, USA - March 17, 2017



               

About the DAMN! workshop

DAMN! is the First Workshop on Data Analytics for Mobile Networking, and will be held in Kona, Big Island, Hawaii, USA on March 17, 2017 in conjunction with IEEE PerCom 2017.

DAMN! focuses on the "analysis of mobile traffic data" in the wider acceptation of the term. By "mobile traffic data" we intend any type of real-world or realistic data related to mobile traffic: these include, e.g., data gathered via crowdsourcing approaches based on (dedicated) apps running at users' terminals, data collected through probes deployed by mobile network operators, data extracted from production databases such as those storing Call Detail Records, or synthetic data that faithfully mimics real-world measurements. By "analysis" we intend any technique for the collection, anonymization, formatting, storage, cleansing, filtering, processing, modelling and mining of such data. The scope of the workshop is thus fairly broad, with a strong unifying element represented by the nature of the studied data.

DAMN! is an informal venue to discuss original methodologies related to mobile traffic data and its analysis. Since mobile traffic data can be used for a number of purposes, the workshop does not impose constraints on the application use cases the data analysis is put to; yet, it especially welcomes works with a clear networking perspective. Paper selection will favour innovation, disruptiveness and focus over completeness and extensive evaluation: consistently with this vision, the workshop invites extended abstracts (up to 4 pages) presenting works based on real-world or realistic mobile traffic datasets.

Submissions to DAMN! shall belong to one of three categories.
  • Early-stage research – papers presenting original research that is still in-progress and for which promising preliminary results are available; authors who submit their abstracts to this track are looking for feedback from the community about their ongoing work, before it is completed and submitted to a top-tier venue.
  • Visionary position papers – papers presenting disruptive concepts related to the applications of mobile traffic data analytics to practical (future) problems; authors who submit their abstracts to this track are willing to foster discussion on controversial new visions, having arguments but not necessarily results to support them.
  • Highly focused technical solutions – papers detailing in a concise way solutions to one very specific problem in mobile traffic data analysis; these works need to be highly focused, so that the quality of the solution is demonstrated by significant tests with real-world or realistic datasets while fulfilling the page limit constraint.
Topics of interest include, but are not limited to:
  • Collection of original (open) mobile traffic datasets
  • Anonymization, formatting, cleansing, filtering of mobile traffic data
  • Efficient storage of and access to mobile traffic data
  • Generative models for synthetic mobile traffic datasets
  • Algorithms, structures, and tools for mobile traffic analysis
  • Visual analytics for mobile traffic datasets
  • Inference of mobility patterns and (spatiotemporal) trajectories from mobile traffic
  • Comparison of mobile traffic features across cities, regions, and countries
  • Mobile traffic analytics for cognitive, self-organising, and anticipatory networking
  • Mobile access and core network enhancements from mobile traffic analysis
  • Mobile traffic analytics for device-to-device and opportunistic communication
  • Mobile service marketing strategies from mobile traffic analysis
  • Privacy issues in mobile traffic analysis, including countermeasures

Organizing committee

TPC chairs

Marco
Fiore

CNR-IEIIT

Razvan
Stanica

INSA Lyon / Inria

TPC members

  • Faraz Ahmed, Michigan State University, USA
  • Juan Camilo Cardona, Cisco Systems, USA
  • Maurizio Dusi, NEC Labs, Heidelberg, Germany
  • Angelo Furno, IFSTTAR, Lyon, France
  • Ali Imran, University of Oklahoma, USA
  • Marton Karsai, ENS Lyon/Inria, France
  • Yong Li, Tsinghua University, PRC
  • Maxime Lenormand, Irstea, France
  • Francesco Malandrino, Politecnico di Torino, Italy
  • Mahesh Marina, University of Edinburgh, UK
  • Mirco Musolesi, University College London, UK
  • Feng Qian, Indiana University, IN, USA
  • Fabio Ricciato, University of Ljubljana, Slovenia
  • Zubair Shafiq, University of Iowa, USA
  • Zbigniew Smoreda, Orange, France
  • Roberto Trasarti, CNR-ISTI, Italy
  • Stefan Valentin, Huawei, France
  • Pedro O.S. Vaz de Melo, UFMG, Brazil
  • Wouter Verbeke, Vrije Universiteit Brussel, Belgium
  • Desheng Zhang, Rutgers University, USA
  • Zhi-Li Zhang, University of Minnesota, USA

Submission instructions

Paper registration: November 4, 2016 - 23:59 EST
Paper submission: November 11, 2016 - 23:59 EST
Author notification: December 23, 2016
Author registration: January 13, 2017
Workshop: March 17, 2017.

Submitted papers must be at most four (4) pages long, including all figures, tables, and appendices. References are excluded from the page count. Longer submissions will not be reviewed.

Manuscripts must be formatted in accordance with the IEEE Computer Society author guidelines. The IEEE LaTeX and Microsoft Word templates, as well as related information, can be found at the IEEE Computer Society website.

All submissions must clearly indicate as a subtitle the nature of the contribution, chosen among the following options.
  • Early-stage research – papers presenting original research that is still in-progress and for which promising preliminary results are available; authors who submit their abstracts to this track are looking for feedback from the community about their ongoing work, before it is completed and submitted to a top-tier venue.
  • Visionary position papers – papers presenting disruptive concepts related to the applications of mobile traffic data analytics to practical (future) problems; authors who submit their abstracts to this track are willing to foster discussion on controversial new visions, having arguments but not necessarily results to support them.
  • Highly focused technical solutions – papers detailing in a concise way solutions to one very specific problem in mobile traffic data analysis; these works need to be highly focused, so that the quality of the solution is demonstrated by significant tests with real-world or realistic datasets while fulfilling the page limit constraint.
Reviews will be single-blind. Submitted papers must not have been previously published nor be currently under consideration for publication elsewhere.

Proceed to submission through EDAS.

All accepted papers will be included in the IEEE PerCom 2017 conference proceedings published by IEEE. Note that there will be no separate workshop registration, but one single registration will cover participation at both DAMN! and IEEE PerCom. It is mandatory that at least one author will register at the full rate and will participate to present the paper during the technical sessions of workshops.

DAMN! program

9.00 - 9.15 Welcome message
9.15 - 10.00 Keynote speech
"Tracking and Optimizing Quality of Experience in the Encrypted Internet" – Quality-to-Experience (QoE) refers to users' experience when using an application. Network operators typically focus on Quality-of-Service (QoS) metrics such as throughput, delay, and packet loss. However, these QoS metrics only matter if they impact users' experience of the application they are using. Therefore, it is crucial for network operators to monitor Quality of Experience (QoE). However, the proliferation of end-to-end encryption has hampered the ability of network operators to monitor QoE and deploy network management techniques to mitigate QoE impairments. In this talk, we will discuss the challenges faced by network operators to effectively manage their networks given the increased end-to-end encryption on the Internet.
Zubair Shafiq is an Assistant Professor of Computer Science at the University of Iowa. He received his PhD in computer science from Michigan State University in 2014. His research interests are in networking and security, with a focus on large scale measurement of mobile networks, content delivery networks, and online social networks. The presented research is conducted in collaboration with Verizon, AT&T, and Huawei and is funded in part by the National Science Foundation.
10:00 - 10:30 Coffee break
10:30 - 12:00 Technical session I – Operator-collected data analysis
  • "Identification of Tidal-Traffic Patterns in Metro-Area Mobile Networks via Matrix Factorization Based Model"
    Sebastian Troia (Politecnico di Milano, Italy), Gao Sheng (University of Posts and Telecommunications, China), Rodolfo Alvizu (Politecnico di Milano, Italy), Guido Alberto Maier (Politecnico di Milano, Italy), Achille Pattavina (Politecnico di Milano, Italy)
  • "Towards an Adaptive Completion of Sparse Call Detail Records for Mobility Analysis"
    Guangshuo Chen (Inria, France), Aline Carneiro Viana (Inria, France), Carlos Sarraute (Grandata Labs, Argentina),
  • "Visualizing and Analyzing Georeferenced Workloads Of Mobile Networks"
    Wender Zacarias Xavier (Pontifical Catholic University of Minas Gerais, Brazil), Faber Henrique Z. Xavier (Pontifical Catholic University of Minas Gerais, Brazil), Humberto T. Marques-Neto (Pontifical Catholic University of Minas Gerais, Brazil)
12:00 - 13:15 Lunch break
13:15 - 14:45 Technical session II – Device-collected data analysis
  • "Crowdsensing Mobile Content and Context Data: Lessons Learned in the Wild"
    Katia Jaffrès-Runser (Université de Toulouse, INPT-ENSEEIHT, France), Gentian Jakllari (Université de Toulouse, INPT-ENSEEIHT, France), Tao Peng (Université de Toulouse, INPT-ENSEEIHT, France), Vlad Nitu (Université de Toulouse, INPT-ENSEEIHT, France)
  • "Sensitivity to Web Hosting in a Mobile Field Survey"
    Laurent Schumacher (University of Namur, Belgium), Marie-Ange Remiche (University of Namur, Belgium)
  • "Localisation Based on Wi-Fi Fingerprints: a Crowdsensing Approach with a Device-to-Device Aim"
    Patrice Raveneau (Université de La Rochelle, France), Stéphane D'Alu (INSA Lyon, France), Hervé Rivano (Inria, France)
14:45 - 15:15 Coffee break
15:15 - 17:00 Open discussion