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

被引:9
|
作者
Wang, Zhaoyang [1 ]
Han, Zhuo [1 ]
Yan, Lei [1 ]
Yang, Shouyi [1 ]
机构
[1] Zhengzhou Univ, Sch Informat Engn, 100 Sci Ave, Zhengzhou 450001, Henan, Peoples R China
关键词
mobile computing; multi-threading; cloud computing; fading channels; search problems; telecommunication scheduling; NP problem; multithreaded computing; local MTC strategy; single-threaded MCC offloading strategy; cloud resources; modern multicore mobile devices; mobile cloud; MCC offloading strategy; fading channel state; optimal data transmission scheme; linear time searching algorithm; NP; MOBILE; CHALLENGES;
D O I
10.1049/iet-com.2019.0270
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
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.
引用
收藏
页码:2146 / 2154
页数:9
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