Internet-QoE 2019

08:45 - 09:00 Opening Remarks

09:00 - 10:00 Session I - Machine Learning for Internet-QoE Analysis

I See What you See: Real Time Prediction of Video Quality from Encrypted Streaming Traffic
Sarah Wassermann (AIT Austrian Institute of Technology); Michael Seufert (University of Würzburg); Pedro Casas (AIT Austrian Institute of Technology); Li Gang, Kuang Li (Huawei Technologies)
Estimating Video Streaming QoE in the 5G Architecture Using Machine Learning
Susanna Schwarzmann (TU Berlin); Clarissa Marquezan (Huawei Technologies Germany); Marcin Bosk, Huiran Liu (TU Berlin); Riccardo Trivisonno (Huawei Technologies Germany); Thomas Zinner (TU Berlin)
Privacy Preserving QoE Modeling using Collaborative Learning
Selim Ickin, Konstantinos Vandikas (Ericsson Research); Markus Fiedler (Blekinge Institute of Technology)

10:00 - 10:30 Coffee Break

10:30 - 11:15 Keynote - Improving the Quality of Experience through Edge Computing

Suman Banerjee, University of Wisconsin-Madison, USA.

Suman Banerjee received the Undergraduate degree from IIT Kanpur, Kanpur, India, in computer science and engineering and was a gold medalist in his graduating class and the M.S. and Ph.D. degrees from the University of Maryland, College Park, MD, USA, and his Ph.D. dissertation was the universities nomination for the ACM Doctoral Dissertation Award while at Wisconsin. He is a Professor of computer sciences with the University of Wisconsin–Madison, Madison, WI, USA. He is the founding Director with WiNGS laboratory, which broadly focuses on research in wireless and mobile networking systems. He has authored more than 100 technical papers in leading journals and conferences in the field, including ACM/IEEE Transactions on Networking , ACM/IEEE Transactions on Mobile Computing, ACM Sigcomm, ACM MobiCom, IEEE Infocom, ACM MobiSys, ACM CoNEXT, ACM IMC, IEEE Dyspan, and more. It also includes various award papers from conferences such as ACM MobiCom, ACM CoNEXT, and IEEE Dyspan. He was the recipient of CAREER award from the US National Science Foundation and the inaugural Rockstar Award from ACM SIGMOBILE for early career achievements and contributions in his field. He served as the chair of ACM SIGMOBILE between 2013 and 2017.

11:15 - 12:00 Keynote - Democratizing Video Analytics: the Quest for the Holy Trinity of low Latency, low Cost, and high Accuracy

Ganesh Ananthanarayanan, Microsoft Research, USA.

Ganesh Ananthanarayanan is a Researcher at Microsoft Research. His research interests are broadly in systems & networking, with recent focus on live video analytics, cloud computing & large scale data analytics systems, and Internet performance. His work on "Video Analytics for Vision Zero" on analyzing traffic camera feeds won the Institute of Transportation Engineers 2017 Achievement Award as well as the "Safer Cities, Safer People" US Department of Transportation Award. He has collaborated with and shipped technology to Microsoft's cloud and online products like the Azure Cloud, Cosmos (Microsoft's big data system) and Skype. He is a member of the ACM Future of Computing Academy. Prior to joining Microsoft Research, he completed his Ph.D. at UC Berkeley in Dec 2013, where he was also a recipient of the Regents Fellowship. More details can be found at http://aka.ms/ganesh.

12:00 - 13:30 Lunch Break

13:30 - 14:00 Keynote - Private and Scalable Analytics on the Edge

Hamed Haddadi, Imperial College London, UK.

Hamed Haddadi is a Senior Lecturer (~Associate Professor) and the Director of Postgraduate Studies at the Dyson School of Design Engineering at The Faculty of Engineering, Imperial College London. He leads the Systems and Algorithms Laboratory and is an Academic Fellow of the Data Science Institute. He is also a Visiting Professor at Brave Software. He is interested in User-Centred Systems, IoT, Applied Machine Learning, and Data Security & Privacy. He enjoys designing and building systems that enable better use of our digital footprint, while respecting users' privacy. He is also broadly interested in sensing applications and Human-Data Interaction.

He studied for BEng/MSc/PhD at University College London and the University of Cambridge. He was a postdoctoral researcher at Max Planck Institute for Software Systems in Germany, and a postdoctoral research fellow at Department of Pharmacology, University of Cambridge and The Royal Veterinary College, University of London, followed by few years as a Lecturer and consequently Senior Lecturer in Digital Media at Queen Mary University of London. He has spent time working and collaborating with Intel Research, Microsoft Research, AT&T Research, Telefonica, and Sony Europe. When not in the lab, he prefers to be on a ski slope or in a kayak.

14:00 - 14:30 Session II - Internet-QoE for Novel Services

Crowd-based Study of Gameplay Impairments and Player Performance in DOTA 2
Matthias Hirth (TU Ilmenau); Kathrin Borchert, Fabian Allendorf, Florian Metzger, Tobias Hoßfeld (University of Würzburg)
QoE Analysis of Spotify Audio Streaming and App Browsing
Anika Schwind, Lorenz Haberzettl, Florian Wamser, Tobias Hoßfeld (University of Würzburg)

14:30 - 15:00 Session III - Internet-QoE Measurements

Traffic Measurement Study on Video Streaming with the Amazon Echo Show
Frank Loh, Viktoria Vomhoff, Florian Wamser, Florian Metzger, Tobias Hoßfeld (University of Würzburg)
QoE of Video Streaming in Multihomed Vehicular Networks
Valter Vieira (DETI-UA / IT); André Zúquete (DETI / IEETA / IT / Univ. of Aveiro); Miguel Luís (IT); Susana Sargento (DETI-UA / IT)

15:00 - 15:30 Coffee Break

15:30 - 16:15 Keynote - Mobile Traffic Quality Measurements and Control from an MNO Perspective

Diego Perino, Telefonica Research, Spain.

Diego Perino is the Director of Telefonica Research and leads a team of researchers in Machine Learning, HCI, Networks and Systems. Currently, he is also leading ARIANA, a Telefonica Innovation startup project leveraging Artificial Intelligence for Automatic Network Actions. Previously he worked at Bell Labs (Paris, France) from September 2009 to June 2016 and six months at NICTA (Sydney, Australia) in 2016 as visiting researcher. His personal research areas are networking, systems and protocols. His current research interests include network measurements, AI/ML for networks, NFV/SDN, wearable networking, security, blockchain and distributed systems.

He received a Ph.D. in Computer Science from the Paris Diderot-Paris 7 university in 2009. His Ph.D. Thesis was a collaboration between Orange Labs and INRIA through a CIFRE contract, and focused on algorithms for peer-to-peer multimedia streaming. He received a M.S. in Networking engineering at Politecnico di Torino and Eurecom Institute of Sophia Antipolis in 2006. He also obtained a Research Master in Networking and distributed systems at Université de Nice-Sophia Antipolis.

16:15 - 17:00 Panel - the Internet of End-User Data in a Data Driven World: Challenges, Opportunities, and Ethical Considerations

Diego Perino (Telefonica Research), Ilias Leontiadis (Samsung AI Research Center), Hamed Haddadi (Imperial College London), Suman Banerjee (University of Wisconsin-Madison), Florian Wamser (University of Würzburg).

Call for Papers

The goal of the Internet-QoE workshop is to scale QoE out of the lab studies context and bring it to the design, analysis and operation of real world networks and distributed systems. By fostering an explicit and deep integration of the end-user directly into the analysis and management of complex networks, we expect to reduce the gap between QoE research and its application to future network operation paradigms, as well as to provide a more targeted end-user perspective to the research on Internet analysis and its future development.

Topics of Interest

Internet-QoE brings together researchers and practitioners from the Internet measurements and analysis domain and the QoE modeling and assessment domain. We are looking for contributions in the intersection between these two domains. We invite submissions in the following non-exhaustive list of topics:

+ Internet measurements related to QoE
+ QoE-aware networking
+ Application of AI to Internet-QoE analysis
+ Big Data and analytics-driven QoE monitoring approaches
+ QoE in encrypted network traffic
+ Web, Streaming, Gaming, and Immersive multi-media Internet-QoE
+ QoE characterization from Internet measurements
+ QoE metrics for smartphones & mobile networks
+ QoE-based traffic monitoring and troubleshooting
+ Novel algorithms to improve Internet-QoE
+ QoE-based network management and analysis
+ User engagement modeling and assessment
+ User behavioral analysis with networking services
+ Internet-QoE metrics and measurements in the large-scale
+ Application of QoE models and metrics to network and traffic analysis
+ Tools and techniques to gather QoE-related Internet measurements
+ Large-scale field trials shedding light on QoE aspects
+ QoE-based analysis of CDNs and Cloud networks
+ Large-scale network simulation for QoE analysis
+ Novel approaches for large-scale QoE crowd-sourcing

Submission Instructions

Submissions must be original, unpublished work, and not under consideration at another conference or journal. Submitted papers must be at most six (6) pages long, including all figures, tables, references, and appendices in two-column 10pt ACM format. Papers must include authors names and affiliations for single-blind peer reviewing by the PC. Authors of accepted papers are expected to present their papers at the workshop.

This LaTeX template should be useful in complying with the above requirements, but as an author you bear the final responsibility to verify that your submission is format-compliant. Use \documentclass[sigconf,10pt]{acmart} as header for your submission.

Submit your paper at https://internet-qoe19.ccs.neu.edu/. Papers accepted for presentation will be published in the ACM MobiCom/Internet-QoE 2019 Proceedings, available at the ACM Digital Library.

Camera Ready

A fully detailed set of instructions to prepare the camera ready submissions is available here: Internet-QoE'19 Camera Ready Instructions. Please read the whole page before beginning the final submission process.

Workshop papers are limited to 6 pages (for all content, no extra pages), and STRICT submission deadline has been set to August 14th (camera ready papers not submitted by this date will be removed from the workshop and the proceedings).

Electronic Copyright Form: the contact author(s) of accepted papers will receive an email from rightsreview@acm.org with a link to the corresponding ACM eforms (electronic copyright-permission forms) to be completed.

Important Dates

+ Paper registration/submission (EXTENDED): June 30, 2019
+ Author notification: ~~July 31~~ August 2, 2019
+ Camera Ready: ~~August 12~~ August 14, 2019

Workshop Co-chairs

+ Pedro Casas, Austrian Institute of Technology (Austria)
+ Florian Wamser, University of Würzburg (Germany)
+ Fabián Bustamante, Northwestern University (USA)
+ David Choffnes, Northeastern University (USA)

PC Members

+ Ali C. Begen, Networked Media (Turkey)
+ Amogh Dhamdhere, Amazon Web Services (USA)
+ Emir Halepovic, AT&T Labs (USA)
+ Luigi Atzori, University of Cagliari (Italy)
+ Maria Papadopouli, University of Crete and FORTH (Greece)
+ Rocky K. C. Chang, The Hong Kong Polytechnic University (China)
+ Vaibhav Bajpai, Technical University of Munich (Germany)
+ Christian Timmerer, University of Klagenfurt (Austria)
+ Florian Metzger, University of Würzburg (Germany)
+ Huu-Thanh Nguyen, Hanoi University of Science and Technology (Vietnam)
+ Lea Skorin-Kapov, University of Zagreb (Croatia)
+ Lucjan Janowski, AGH University of Science and Technology (Poland)
+ Matthias Hirth, Technical University of Ilmenau (Germany)
+ Michael Seufert, University of Würzburg (Germany)
+ Oliver Hohlfeld, Brandenburg University of Technology (Germany)
+ Thomas Zinner, Norwegian University of Science and Technology (Norway)
+ Tobias Hoßfeld, University of Würzburg (Germany)

Internet-QoE 2019

4th ACM Workshop on QoE-based Analysis and Management of Data Communication Networks

October 21, 2019 @Los Cabos, Baja California Peninsula, Mexico

co-located with 25th ACM MobiCom