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Speeding up Smartphone-Based Dew Computing: In Vivo Experiments Setup Via an Evolutionary Algorithm., , , , , and . Sensors, 23 (3): 1388 (February 2023)EasyFJP: Providing hybrid parallelism as a concern for divide and conquer java applications., , and . Comput. Sci. Inf. Syst., 10 (3): 1129-1163 (2013)New Heuristics for Scheduling and Distributing Jobs under Hybrid Dew Computing Environments., , , , , , and . Wirel. Commun. Mob. Comput., (2021)LiveDewStream: A stream processing platform for running in-lab distributed deep learning inferences on smartphone clusters at the edge., , , and . SoftwareX, (December 2022)A performance comparison of data-aware heuristics for scheduling jobs in mobile grids., , , , , and . CLEI, page 1-8. IEEE, (2017)Towards Integrating Mobile Devices into Dew Computing: A Model for Hour-Wise Prediction of Energy Availability., , , and . Inf., 10 (3): 86 (2019)A platform for automating battery-driven batch benchmarking and profiling of Android-based mobile devices., , , and . Simul. Model. Pract. Theory, (2021)A performance comparison of heuristics for scheduling jobs in hybrid mobile topologies., , , , , and . SCCC, page 1-6. IEEE, (2019)Evaluating the Performance of Three Popular Web Mapping Libraries: A Case Study Using Argentina's Life Quality Index., , , , , and . ISPRS Int. J. Geo Inf., 9 (10): 563 (2020)Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support., , , and . Adv. Eng. Softw., 43 (1): 27-43 (2012)