The course teaches proactive energy-aware adaptive video streaming on mobile devices, focusing on improving user experience and battery duration. Students will learn about the challenges of traditional reactive adaptation, the benefits of proactive adaptation, and the impact on quality-of-experience (QoE). The course covers the design, implementation, and performance tradeoffs of proactive energy-aware adaptation in the context of ABR-based video streaming. The intended audience includes mobile app developers, software engineers, and individuals interested in optimizing app performance on mobile devices.
Proactive Energy-Aware Adaptive Video Streaming on Mobile Devices
Overview
Syllabus
Intro
Modern Mobile Apps are Power Hungry
Case Study: 360° Video Streaming on YouTube
Energy-aware App Adaption
Outline
Classic Energy-aware App Adaptation: System-level
Characteristics of Classic Energy-aware App Adaptation
Reactive Adaptation Causes Oscillation
Key Observation: Modern Apps Have Proactive Built-in Adaptation • Built-in adaptation: Apps proactively adapt data fidelity to network dynamics or other system constraints to optimize QoE
Key Idea: Proactive Energy-aware Adaptation
Background of ABR Video Streaming
ABR Problem Formulation [Sigcomm'15]
Challenges of Proactive Energy-aware ABR
Trace-driven Evaluation
Impact of Different Proactive Design Options under Low Power Budget on Pixel 2
Performance Comparison between Reactive and Proactive Approaches
QoE Breakdown Comparison between Reactive and Proactive Approaches
Generalization
Summary
Taught by
USENIX
