Multiuser computation offloading for edge-cloud collaboration using submodular optimization |
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| Authors: | Bing LIANG Wen JI |
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| Affiliation: | 1. Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China;2. School of Computer Science and Technology,University of Chinese Academy of Sciences,Beijing 100190,China;3. Beijing Key Laboratory of Mobile Computing and Pervasive Device,Beijing 100190,China;4. Peng Cheng Laboratory,Shenzhen 518055,China |
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| Abstract: | A computation offloading scheme based on edge-cloud computing was proposed to improve the system utility of multiuser computation offloading.This scheme improved the system utility while considering the optimization of edge-cloud resources.In order to tackle the problems of computation offloading mode selection and edge-cloud resource allocation,a greedy algorithm based on submodular theory was developed by fully exploiting the computing and communication resources of cloud and edge.The simulation results demonstrate that the proposed scheme effectively reduces the delay and energy consumption of computing tasks.Additionally,when computing tasks are offloaded to edge and cloud from devices,the proposed scheme still maintains stable system utilities under ultra-limited resources. |
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| Keywords: | cloud computing edge computing multiuser computation offloading submodular optimization edge-cloud computing |
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