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ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML Applications.

, , , , , , and . OSDI, page 365-386. USENIX Association, (2024)

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Enabling near real-time central control for live video delivery in CDNs., , , , , , and . SIGCOMM, page 343-344. ACM, (2014)Pano: optimizing 360° video streaming with a better understanding of quality perception., , , , and . SIGCOMM, page 394-407. ACM, (2019)SPC-FA: synergic parallel compact finite automaton to accelerate multi-string matching with low memory., , , , and . ANCS, page 163-164. ACM, (2009)Improving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE., , and . CoNEXT, page 97-108. ACM, (2012)Understanding the potential of server-driven edge video analytics., , , , and . HotMobile, page 8-14. ACM, (2022)CFA: A Practical Prediction System for Video QoE Optimization., , , , , and . NSDI, page 137-150. USENIX Association, (2016)Using Video-Based Measurements to Generate a Real-Time Network Traffic Map., , , , , and . HotNets, page 10:1-10:7. ACM, (2014)Sayer: Using Implicit Feedback to Optimize System Policies., , , , , , and . SoCC, page 273-288. ACM, (2021)BDS: a centralized near-optimal overlay network for inter-datacenter data replication., , , , , , , , and . EuroSys, page 10:1-10:14. ACM, (2018)Estimating WebRTC Video QoE Metrics Without Using Application Headers., , , , and . IMC, page 485-500. ACM, (2023)