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Techniques to Minimize State Transfer Costs for Dynamic Execution Offloading in Mobile Cloud Computing.

, , , , , and . IEEE Trans. Mob. Comput., 13 (11): 2648-2660 (2014)

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Mantis: Automatic Performance Prediction for Smartphone Applications., , , , , , , , , and . USENIX Annual Technical Conference, page 297-308. USENIX Association, (2013)Fast dynamic execution offloading for efficient mobile cloud computing., , , , , , and . PerCom, page 20-28. IEEE Computer Society, (2013)Precise execution offloading for applications with dynamic behavior in mobile cloud computing., , , , , and . Pervasive and Mobile Computing, (2016)Mantis: Efficient Predictions of Execution Time, Energy Usage, Memory Usage and Network Usage on Smart Mobile Devices., , , , , , , , , and . IEEE Trans. Mob. Comput., 14 (10): 2059-2072 (2015)CMcloud: Cloud Platform for Cost-Effective Offloading of Mobile Applications., , , , , , , and . CCGRID, page 434-444. IEEE Computer Society, (2014)Microarchitecture-Aware Code Generation for Deep Learning on Single-ISA Heterogeneous Multi-Core Mobile Processors., , , and . IEEE Access, (2019)Techniques to Minimize State Transfer Costs for Dynamic Execution Offloading in Mobile Cloud Computing., , , , , and . IEEE Trans. Mob. Comput., 13 (11): 2648-2660 (2014)Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment., , , and . CoRR, (2022)