{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:07:33Z","timestamp":1750306053579,"version":"3.41.0"},"reference-count":22,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2017,1,17]],"date-time":"2017-01-17T00:00:00Z","timestamp":1484611200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGCOMM Comput. Commun. Rev."],"published-print":{"date-parts":[[2017,1,17]]},"abstract":"<jats:p>This is a report on the Workshop on Tracking Quality of Experience in the Internet, held at Princeton, October 21--22, 2015, jointly sponsored by the National Science Foundation and the Federal Communication Commission. The term Quality of Experience (QoE) describes a user's subjective assessment of their experience when using a particular application. In the past, network engineers have typically focused on Quality of Service (QoS): performance metrics such as throughput, delay and jitter, packet loss, and the like. Yet, performance as measured by QoS parameters only matters if it affects the experience of users, as they attempt to use a particular application. Ultimately, the user's experience is determined by QoE impairments (e.g., rebuffering). Although QoE and QoS are related---for example, a video rebuffering event may be caused by high packet-loss rate---QoE metrics ultimately affect a user's experience. Identifying the causes of QoE impairments is complex, since the impairments may arise in one or another region of the network, in the home network, on the user's device, in servers that are part of the application, or in supporting services such as the DNS. Additionally, metrics for QoE continue to evolve, as do the methods for relating QoE impairments to underlying causes that could be measurable using standard network measurement techniques. Finally, as the capabilities of the underlying network infrastructure continues to evolve, researchers should also consider how to design infrastructure and tools can best support measurements that can better identify the locations and causes of QoE impairments. The workshop's aim was to understand the current state of QoE research and to contemplate a community agenda to integrate ongoing threads of QoE research into a collaboration. This summary report describes the topics discussed and summarize the key points of the discussion. Materials related to the workshop are available at http:\/\/aqualab.cs.northwestern.edu\/NSFWorkshop-InternetQoE.<\/jats:p>","DOI":"10.1145\/3041027.3041035","type":"journal-article","created":{"date-parts":[[2017,1,18]],"date-time":"2017-01-18T13:13:59Z","timestamp":1484745239000},"page":"55-60","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Workshop on Tracking Quality of Experience in the Internet"],"prefix":"10.1145","volume":"47","author":[{"given":"Fabian E.","family":"Bustamante","sequence":"first","affiliation":[{"name":"Northwestern University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Clark","sequence":"additional","affiliation":[{"name":"MIT"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nick","family":"Feamster","sequence":"additional","affiliation":[{"name":"Princeton University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,1,17]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Alcatel-Lucent Bell Labs","author":"Andrews M.","year":"2015","unstructured":"M. Andrews . Quality of Experience in Wireless Pricing: Some Research Directions . Alcatel-Lucent Bell Labs , 2015 . M. Andrews. Quality of Experience in Wireless Pricing: Some Research Directions. Alcatel-Lucent Bell Labs, 2015."},{"key":"e_1_2_1_2_1","volume-title":"QoE: A Wireless Perspective and Beyond. U. of Wisconsin","author":"Banerjee S.","year":"2015","unstructured":"S. Banerjee . QoE: A Wireless Perspective and Beyond. U. of Wisconsin , Madison , 2015 . S. Banerjee. QoE: A Wireless Perspective and Beyond. U. of Wisconsin, Madison, 2015."},{"key":"e_1_2_1_3_1","unstructured":"S. Bauer. Net.info: A Provider to Subscriber Secure Communicatio Channel. MIT.  S. Bauer. Net.info: A Provider to Subscriber Secure Communicatio Channel. MIT."},{"key":"e_1_2_1_4_1","volume-title":"Northwestern University","author":"Bustamante F. E.","year":"2015","unstructured":"F. E. Bustamante . Natural Experiments for Quality of Experience in Networked Systems . Northwestern University , 2015 . F. E. Bustamante. Natural Experiments for Quality of Experience in Networked Systems. Northwestern University, 2015."},{"key":"e_1_2_1_5_1","volume-title":"Northeastern U. and Stony Brook U.","author":"Choffnes D.","year":"2015","unstructured":"D. Choffnes , P. Gill , and A. Mislove . A Practical System for Revealing ISP Traffic Differentiation . Northeastern U. and Stony Brook U. , 2015 . D. Choffnes, P. Gill, and A. Mislove. A Practical System for Revealing ISP Traffic Differentiation. Northeastern U. and Stony Brook U., 2015."},{"key":"e_1_2_1_6_1","volume-title":"CAIDA\/UC San Diego and MIT","author":"Dhamdhere A.","year":"2015","unstructured":"A. Dhamdhere , M. Luckie , D. Clark, and kc claffy. Measuring Interdomain Congestion and its Impact on QoE . CAIDA\/UC San Diego and MIT , 2015 . A. Dhamdhere, M. Luckie, D. Clark, and kc claffy. Measuring Interdomain Congestion and its Impact on QoE. CAIDA\/UC San Diego and MIT, 2015."},{"volume-title":"The Issue of Poor QoE Viewed as a Problem of Bad Peering Economics","author":"Dovrolis C.","key":"e_1_2_1_7_1","unstructured":"C. Dovrolis . The Issue of Poor QoE Viewed as a Problem of Bad Peering Economics . Georgia Institute of Technology . A good summary of the current state of knowledge can be found in Quality of Experience: Advanced Concepts, Applications and Methods, Springer, 2015. C. Dovrolis. The Issue of Poor QoE Viewed as a Problem of Bad Peering Economics. Georgia Institute of Technology. A good summary of the current state of knowledge can be found in Quality of Experience: Advanced Concepts, Applications and Methods, Springer, 2015."},{"key":"e_1_2_1_8_1","volume-title":"Monitoring and Measuring QoE in the Wide Area","author":"Feamster N.","year":"2015","unstructured":"N. Feamster . Monitoring and Measuring QoE in the Wide Area . Princeton University , 2015 . N. Feamster. Monitoring and Measuring QoE in the Wide Area. Princeton University, 2015."},{"key":"e_1_2_1_9_1","volume-title":"In-Situ Quality of Experience Monitoring: The Case for Prioritizing Coverage Over Fidelity","author":"Ganjam A.","year":"2016","unstructured":"A. Ganjam , V. Sekar , and H. Zhang . In-Situ Quality of Experience Monitoring: The Case for Prioritizing Coverage Over Fidelity . 2016 . A. Ganjam, V. Sekar, and H. Zhang. In-Situ Quality of Experience Monitoring: The Case for Prioritizing Coverage Over Fidelity. 2016."},{"key":"e_1_2_1_10_1","volume-title":"Comcast","author":"Kane-Esrig Y.","year":"2015","unstructured":"Y. Kane-Esrig . Need for Methodologies to Optimize Time-Alignment of Predictor Variables in Building Models for Quality of Experience as a Function of Network Behavior . Comcast , 2015 . Y. Kane-Esrig. Need for Methodologies to Optimize Time-Alignment of Predictor Variables in Building Models for Quality of Experience as a Function of Network Behavior. Comcast, 2015."},{"key":"e_1_2_1_11_1","volume-title":"MIT","author":"Lehr W.","year":"2015","unstructured":"W. Lehr . Qo E Measurement : Economic and Policy Considerations . MIT , 2015 . W. Lehr. QoE Measurement: Economic and Policy Considerations. MIT, 2015."},{"key":"e_1_2_1_12_1","volume-title":"Assessing and Improving User QoE of Video Telephony","author":"Liu Y.","year":"2015","unstructured":"Y. Liu . Assessing and Improving User QoE of Video Telephony . New York University , 2015 . Y. Liu. Assessing and Improving User QoE of Video Telephony. New York University, 2015."},{"key":"e_1_2_1_13_1","volume-title":"Addressing QoE Measurement Challenes for the Mobile Internet","author":"Mao Z. M.","year":"2015","unstructured":"Z. M. Mao . Addressing QoE Measurement Challenes for the Mobile Internet . 2015 . Z. M. Mao. Addressing QoE Measurement Challenes for the Mobile Internet. 2015."},{"key":"e_1_2_1_14_1","volume-title":"On User-Centric QoE Prediction for VoIP and Video Based on Machine-Learning. U. of Crete\/ICS-FORTH","author":"Papadopouli M.","year":"2015","unstructured":"M. Papadopouli . On User-Centric QoE Prediction for VoIP and Video Based on Machine-Learning. U. of Crete\/ICS-FORTH , 2015 . M. Papadopouli. On User-Centric QoE Prediction for VoIP and Video Based on Machine-Learning. U. of Crete\/ICS-FORTH, 2015."},{"key":"e_1_2_1_15_1","volume-title":"QoE: A Micro and Macro Perspective","author":"Schulzrinne H.","year":"2015","unstructured":"H. Schulzrinne , K.-H. Kim , H. Nam , V. Singh , and D. Song . QoE: A Micro and Macro Perspective . Columbia University , 2015 . H. Schulzrinne, K.-H. Kim, H. Nam, V. Singh, and D. Song. QoE: A Micro and Macro Perspective. Columbia University, 2015."},{"key":"e_1_2_1_16_1","volume-title":"Tracking Mobile Video QoE in the Encrypted Internet. 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U. of Zagreb, Croatia, 2015."},{"key":"e_1_2_1_19_1","volume-title":"ICSI and U. of Iowa","author":"Sundaresan S.","year":"2015","unstructured":"S. Sundaresan and M. Z. Shafiq . Bidirectional Cross-Layer QoE Optimization . ICSI and U. of Iowa , 2015 . S. Sundaresan and M. Z. Shafiq. Bidirectional Cross-Layer QoE Optimization. ICSI and U. of Iowa, 2015."},{"key":"e_1_2_1_20_1","volume-title":"Measuring Networks for Enhancing User Experience (MUSE). Inria Paris-Rocquencourt","author":"Teixeria R.","year":"2015","unstructured":"R. Teixeria . Measuring Networks for Enhancing User Experience (MUSE). Inria Paris-Rocquencourt , 2015 . R. Teixeria. Measuring Networks for Enhancing User Experience (MUSE). Inria Paris-Rocquencourt, 2015."},{"key":"e_1_2_1_21_1","volume-title":"Public Peering Links. NIKSUN and TU Berlin and Northwestern U.","author":"Willinger W.","year":"2015","unstructured":"W. Willinger , A. Feldmann , P. Richter , G. Smaragdakis , and F. E. Bustamante . 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