To make full use of the resources of multi-core CPU and improve the system performance, most processors adopt multithreaded technology. However, how to achieve the energy-efficient offloading strategy for multithreaded computing remains an open problem. In this paper, we provide a collaborative cloud and edge computing offloading strategy to reduce energy consumption. Firstly, we formulate a joint optimizing offloading decision and computation resource allocation problem. Then, we design a collaborative cloud and edge computing search offloading (CCESO) algorithm. Based on this, the energy consumption minimization problem of a single thread application is transformed into a convex optimization problem through the time allocation strategy to achieve the optimal solution of the objective function. Secondly, for multithreaded applications, the cooperation scheme and offloading strategy between multi-thread are given to reduce the energy consumption of multithreaded. Experimental data show that the proposed collaborative cloud and edge computing offloading strategy can effectively reduce energy consumption.


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    Title :

    Multithread Optimal Offloading Strategy Based on Cloud and Edge Collaboration


    Contributors:
    Zhu, Yifan (author) / Wang, Zhaoyang (author) / Han, Zhuo (author) / Li, Nana (author) / Yang, Shouyi (author)


    Publication date :

    2020-05-01


    Size :

    211893 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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