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SEQUENCE:1
X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC
228746
20260108T135046Z
DTSTART;TZID=America/New_York:20260113T100000
DTEND;TZID=America/New_York:2
 0260113T110000
URL;TYPE=URI:https://www.wpi.edu/news/calendar/events/compu
 ter-science-department-phd-defense-xiaokun-xu-measuring-and-improving-qual
 ity-experience-cloud
Computer Science Department , PhD Defense , - Xiaokun Xu &amp;quot; Measuring and Improving Quality of Experience in Cloud Game Streaming&amp;quot;
\nXiaokun Xu\nPhD Candidate\nWPI – Computer Science Department\n\nTuesday, January 13, 2026\nTime:
  10:00 a.m. – 11:00 a.m.\nZoom:https://wpi.zoom.us/j/3180706458\nCommitt
 ee members :\nProf. Mark Claypool - Computer Science (Advisor)\nProf. Tian
  Guo - Computer Science\nProf. Lane Harrison - Computer Science\nProf. Car
 sten Griwodz, University of Oslo(External Member)\nAbstract:\nCloud game s
 treaming enables players to enjoy high-quality games without powerful loca
 l hardware by rendering content in the cloud and streaming it to lightweig
 ht clients. However, this approach is highly sensitive to network performa
 nce. Latency, jitter, and bandwidth variation can reduce responsiveness an
 d visual smoothness, leading to degraded Quality of Experience (QoE).\nThi
 s research systematically investigates how these factors influence cloud g
 aming QoE through controlled laboratory experiments and real-world in-home
  studies. By isolating the effects of delay, jitter, and visual degradatio
 n, the work identifies key predictors of player experience and develops ma
 thematical models for accurately estimating QoE.\nBeyond measurement and m
 odeling, the dissertation also explores techniques for improving QoE acros
 s the system. At the network layer, it evaluates Active Queue Management (
 AQM) to stabilize delay and reduce jitter. At the client side, it analyzes
  playout buffer strategies to balance latency and smoothness. At the serve
 r side, it examines latency compensation techniques that help maintain fai
 r and responsive gameplay when network delays cannot be avoided.\nTogether
 , these studies provide an integrated understanding of how QoE is shaped a
 nd offer practical guidance for improving cloud gaming performance across 
 network, client, and server components.\n
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