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Cooperative scheduling of multi-core and cloud resources: multi-thread-based MCC offloading strategy

机译:多核和云资源的协同调度:基于多线程的MCC卸载策略

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摘要

Modern multi-core mobile devices are the main application objects of mobile cloud computing (MCC). In previous works, researchers have formulated various heuristic algorithms to solve the NP problem. This work combines MCC with multi-threaded computing (MTC) of multi-core mobile devices to avoid NP problems and proposes an MTC-based MCC offloading strategy. First, the authors design an MTC strategy for the application model of cloud computing. Then, they use the data transmission scheme that is dynamically adjusted according to the fading channel state. Finally, based on the MTC strategy and the optimal data transmission scheme, they obtain the MTC-based MCC offloading strategy through a linear time searching algorithm. Simulation results show that compared with the local MTC strategy and the single-threaded MCC offloading strategy, the MTC-based MCC offloading strategy can significantly reduce energy consumption and improve the computing ability in multi-threaded applications.
机译:现代多核移动设备是移动云计算(MCC)的主要应用对象。在以前的工作中,研究人员制定了各种启发式算法来解决NP问题。这项工作将MCC与多核移动设备的多线程计算(MTC)相结合,以避免出现NP问题,并提出了一种基于MTC的MCC卸载策略。首先,作者为云计算的应用模型设计了一个MTC策略。然后,他们使用根据衰落信道状态动态调整的数据传输方案。最后,基于MTC策略和最佳数据传输方案,他们通过线性时间搜索算法获得了基于MTC的MCC卸载策略。仿真结果表明,与本地MTC策略和单线程MCC卸载策略相比,基于MTC的MCC卸载策略可以显着降低能耗,提高多线程应用程序的计算能力。

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