MTPS: A Multi-Task Perceiving and Scheduling Framework Across Multiple Mobile Devices

The prevalence of cross-device resource sharing enables users to utilize various device resources of the connected mobile devices seamlessly. Since there are often numerous connected mobile devices under the same network, cross-device tasks are often executed concurrently. However, the existing resource sharing schemes suffer from significant performance degradation for the parallel cross-device tasks due to competition for limited system resources (e.g., network and CPU). This paper first analyzes the performance penalty in parallel execution of the cross-device resource sharing tasks. Then, a novel multi-task perceiving and scheduling framework (MTPS) is proposed to guarantee the quality of service of the parallel tasks. The basic idea of MTPS is to first build a master-slave system model to reorganize mobile devices under the same network. Then, MTPS perceives the running cross-device resource sharing tasks and schedules the parallel execution of multiple tasks to avoid mutual interference. Experimental results on real devices show that MTPS can reduce the average completion time of file sharing by 63.5%, and maintain at least 24 frames per second for screen casting at optimal levels in the presence of other tasks.