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Network latency hiding in thin client systems through server-centric speculative display updating.

, , , , and . J. Network and Computer Applications, (2014)

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Cross-Layer Optimization of Radio Sleep Intervals to Increase Thin Client Energy Efficiency., , , , , , , and . IEEE Communications Letters, 14 (12): 1095-1097 (2010)Network latency hiding in thin client systems through server-centric speculative display updating., , , , and . J. Network and Computer Applications, (2014)Integrating personal media and Digital TV with QoS guarantees using virtualized set-top boxes: Architecture and performance measurements., , , , , and . LCN, page 488-495. IEEE Computer Society, (2010)Resource-constrained classification using a cascade of neural network layers., , , , , and . IJCNN, page 1-7. IEEE, (2015)Cross-layer reduction of wireless network card idle time to optimize energy consumption of pull thin client protocols., , , , , , , , , and . Journal of Communications and Networks, 14 (1): 75-90 (2012)Lazy Evaluation of Convolutional Filters., , , , , , , and . CoRR, (2016)Distributed Neural Networks for Internet of Things: The Big-Little Approach., , , , , , and . IoT 360 (2), volume 170 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 484-492. (2015)Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud., , , , , , and . CloudNet, page 218-223. IEEE, (2016)Quality of experience driven control of interactive media stream parameters., , , , , , and . IM, page 1282-1287. IEEE, (2013)Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things., , , , , , , and . Future Generation Comp. Syst., (2019)