QoS-Aware Offloading Based on Communication-Computation Resource Coordination for 6G Edge Intelligence

被引：0

作者：

Chaowei Wang ^{[1
,2
]}

Xiaofei Yu ^{[1
]}

Lexi Xu ^{[3
]}

Fan Jiang ^{[2
]}

Weidong Wang ^{[1
]}

Xinzhou Cheng ^{[3
]}

机构：

[1] School of Electronic Engineering, Beijing University of Posts and Telecommunications

[2] Shaanxi Key Laboratory of Information Communication Network and Security, Xi'an University of Posts and Telecommunications

[3] Research Institute, China United Network Communications Corporation

来源：

ChinaCommunications | 2023年 / 20卷 / 03期

关键词：

D O I：

暂无

中图分类号：

TN929.5 [移动通信];

学科分类号：

080402 ; 080904 ; 0810 ; 081001 ;

摘要：

Driven by the demands of diverse artificial intelligence(AI)-enabled application, Mobile Edge Computing(MEC) is considered one of the key technologies for 6G edge intelligence. In this paper, we consider a serial task model and design a quality of service(QoS)-aware task offloading via communication-computation resource coordination for multi-user MEC systems, which can mitigate the I/O interference brought by resource reuse among virtual machines. Then we construct the system utility measuring QoS based on application latency and user devices’ energy consumption. We also propose a heuristic offloading algorithm to maximize the system utility function with the constraints of task priority and I/O interference. Simulation results demonstrate the proposed algorithm’s significant advantages in terms of task completion time, terminal energy consumption and system resource utilization.

引用

页码：236 / 251

页数：16

共 23 条

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