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Internet-QoE '16: Proceedings of the 2016 workshop on QoE-based Analysis and Management of Data Communication Networks
ACM2016 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
SIGCOMM '16: ACM SIGCOMM 2016 Conference Florianopolis Brazil August 22 - 26, 2016
ISBN:
978-1-4503-4425-8
Published:
22 August 2016
Sponsors:

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Abstract

The ACM SIGCOMM Workshop on QoE-based Analysis and Management of Data Communication Networks, Internet-QoE'16 was born as a means to cover a growing need in the conception and applicability of user-centric, QoE-based solutions to the large scale analysis and management of modern operational networks.

The main goal of the Internet-QoE workshop is to scale QoE out of the traditional lab studies context and bring it to the analysis and operation of data communication networks, giving a use-centric perspective to the network measurements and analysis community. QoE remains a poorly understood domain, currently restricted to small scale studies and very far from the analysis of real networks. Especially in the industry, QoE has become a buzz word, far from its reality within the research community, and partly due to the complexity involved in deploying QoE-based network analysis and management solutions. By fostering an explicit and deep integration of the end-user directly into the design, analysis and management of large-scale operational networks, we expect to reduce the gap between QoE research and its application to future network management paradigms, as well as to provide a more targeted end-user perspective to the research on data communication networks.

A secondary yet major goal of Internet-QoE is to bridge the QoE and Internet measurements research communities, which are currently loosely coupled. On the one hand, the network measurements research community is so far missing a deeper QoE know how and expertise. On the other hand, the QoE research community needs a better and more complete understanding of the functioning, structure and open problems behind large-scale operational networks. Internet-QoE brings together researchers and practitioners from the Internet measurements and analysis domain and the QoE modeling and assessment domain, as well as industry players willing to integrate QoE aspects into the DNA of their daily business, with direct applications in network dimensioning, monitoring, management, and troubleshooting among others.

Internet-QoE'16 accepted 10 technical papers out of 21, high-quality submissions. The paper review process included an evaluation phase by PC members, followed by an online discussion of the top ranked papers, out of which 7 were directly accepted to appear in the program, and 3 went into a shepherding phase. The resulting program features a variety of high-quality papers focusing on different aspects of QoE and network measurements, including QoE-based network monitoring and assessment, QoE-based network management, as well as QoE modeling and analysis.

Internet-QoE'16 also features three exciting keynotes from recognized researchers in the QoE and network measurements domains: (i) "Improving Web Performance", by Prof. Harsha V. Madhyastha (University of Michigan, US), (ii) "The Challenges of Measuring Internet Quality of Experience", by Dr. Renata Cruz Teixeira (INRIA Paris, France), and (iii) "On the Analysis and Modeling of Quality of Experience for Video Streaming", by Prof. Maria Papadopouli (University of Crete and FORT, Greece).

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research-article
Free
An Educated Guess on QoE in Operational Networks through Large-Scale Measurements

Network monitoring and reporting systems as well as network quality benchmarking campaigns use the Average Downlink Throughput (ADT) as the main Key Performance Indicators (KPIs) reflecting the health of the network. In this paper we address the problem ...

research-article
Free
Impact of Access Speed on Adaptive Video Streaming Quality: A Passive Perspective

Adaptive streaming over HTTP is largely used to deliver live and on-demand video. It works by adjusting video quality according to network conditions. While QoE for different streaming services has been studied, it is still unclear how access line ...

research-article
Free
Predicting the effect of home Wi-Fi quality on Web QoE

Wi-Fi is the preferred way of accessing the Internet for many devices at home, but it is vulnerable to performance problems. The analysis of Wi-Fi quality metrics such as RSSI or PHY rate may indicate a number of problems, but users may not notice many ...

research-article
Public Access
QoE Inference Without Application Control

Network quality-of-service (QoS) does not always directly translate to users' quality-of-experience (QoE), e.g., changes in a video streaming app's frame rate in reaction to changes in packet loss rate depend on various factors such as the adaptation ...

research-article
Free
QoE Analysis of DASH Cross-Layer Dependencies by Extensive Network Emulation

With the rising importance of video streaming in the Internet, dynamic adaptive streaming over HTTP (DASH) has been established as a key technology for video delivery. Yet, variable network conditions often result in a limited quality of experience (QoE)...

research-article
Free
Towards a causal analysis of Video QoE from Network and Application QoS

The relationship between the user perceived Quality of Experience (QoE) with Internet applications and the Quality of Service (QoS) of the underlying network and applications is complex. Unveiling statistical relations between QoE and QoS can boost the ...

research-article
Free
Measuring the Quality of Experience of Web users

Measuring quality of Web users experience (WebQoE) faces the following trade-off. On the one hand, current practice is to resort to metrics, such as the document completion time (onLoad), that are simple to measure though knowingly inaccurate. On the ...

research-article
Free
BingeOn Under the Microscope: Understanding T-Mobiles Zero-Rating Implementation

The popularity of mobile devices for ubiquitous Internet access has led to exploding demand for relatively scarce cellular bandwidth. As a result, cellular operators increasingly turn to creative ways to manage their customers’ demand on capacity, using ...

research-article
Free
Concept for Client-initiated Selection of Cloud Instances for Improving QoE of Distributed Cloud Services

We introduce a concept for client-initiated selection of service location and service quality for improving the Quality of Experience (QoE) of general cloud services. It is loosely based on the HTTP adaptive streaming approach (e.g., MPEG DASH). A ...

research-article
Public Access
Client-Driven Network-level QoE fairness for Encrypted 'DASH-S'

Adaptive video streams, when competing behind a bottleneck link, generate flows that lead to instability, under-utilization, and unfairness. Recent studies suggest there is also a negative impact on users' perceived quality of experience as a ...

Contributors
  • Austrian Institute of Technology
  • Northwestern University
  • Northeastern University
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Acceptance Rates

Internet-QoE '16 Paper Acceptance Rate10of21submissions,48%Overall Acceptance Rate10of21submissions,48%
YearSubmittedAcceptedRate
Internet-QoE '16211048%
Overall211048%