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QoS Lessons from Multimedia

QoS Lessons from Multimedia. David Maier OGI School of Science & Engineering Oregon Health & Science University. Multimedia QoS Work with Richard Staehli and Jonathan Walpole. Lessons If you are going to degrade, do so in preferred and thrifty manner:

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QoS Lessons from Multimedia

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  1. QoS Lessons from Multimedia David Maier OGI School of Science & Engineering Oregon Health & Science University

  2. Multimedia QoS Work withRichard Staehli and Jonathan Walpole Lessons • If you are going to degrade, do so in preferred and thrifty manner: Least reduction in perceived quality for maximum reduction in resource usage • Error is multifaceted: Different kinds of error more or less objectionable for different tasks, e.g., lower resolution vs. lower frame rate • Software adaptivity is possible, but tricky to tune.

  3. Our Model Content View Presentation Error = Ideal vs. Actual

  4. Might Apply to Stream Queries Input Stream Query Output Stream Content View Presentation Error = Ideal vs. Actual

  5. More Than One Way to Explain Error Amplitude Drift Shift Quantization Lag

  6. Error Model • Error model consists of one or more error components (e.g., amplitude, shift) • An error component can be scaled by a coefficient (e.g., amount of shift) • Error interpretation: expressing error between ideal and actual using error components Etotal = c1·E1 + c2·E2 + … + cn·En

  7. Can Have More Than One Interpretationof an Error Amplitude Amplitude Lag Lag

  8. Uses of Error Model • Define combined quality bound 0.8*camp + 0.2*clag min over all interpretations • Define limits on individual components • State user preferences: degrade resolution before introducing lag • Pre-compute effect of different load shedding options on error

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