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1. 国网信通亿力科技有限责任公司,福建 福州 350001
2. 国网信息通信产业集团有限公司,北京 100052
[ "谢石木林(1987- ),男,国网信通亿力科技有限责任公司高级工程师,主要研究方向为电力通信、人工智能、电气工程自动化等" ]
[ "白杰(1981- ),男,国网信息通信产业集团有限公司高级工程师,主要研究方向为电力通信、5G应用和物联网技术等" ]
[ "张翔(1978- ),男,国网信通亿力科技有限责任公司高级工程师,主要研究方向为软件工程、人工智能、电气工程自动化等" ]
[ "汤泽毅(1995- ),男,国网信通亿力科技有限责任公司助理工程师,主要研究方向为软件工程、人工智能、电气工程自动化等" ]
[ "粘为帆(1996- ),男,国网信通亿力科技有限责任公司助理工程师,主要研究方向为软件工程、电力通信技术、人工智能等" ]
[ "刘旭杰(1994- ),男,国网信通亿力科技有限责任公司助理工程师,主要研究方向为软件工程、人工智能、电气工程自动化等" ]
网络出版日期:2022-12,
纸质出版日期:2022-12-20
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谢石木林, 白杰, 张翔, 等. 基于5G+MEC的电网边缘计算平台任务安全性调度方法[J]. 电信科学, 2022,38(12):78-85.
Shimulin XIE, Ijie BA, Xiang ZHANG, et al. Task security scheduling method for 5G+MEC based grid edge computing platform[J]. Telecommunications science, 2022, 38(12): 78-85.
谢石木林, 白杰, 张翔, 等. 基于5G+MEC的电网边缘计算平台任务安全性调度方法[J]. 电信科学, 2022,38(12):78-85. DOI: 10.11959/j.issn.1000-0801.2022262.
Shimulin XIE, Ijie BA, Xiang ZHANG, et al. Task security scheduling method for 5G+MEC based grid edge computing platform[J]. Telecommunications science, 2022, 38(12): 78-85. DOI: 10.11959/j.issn.1000-0801.2022262.
为保证电网边缘计算平台任务调度的安全性以及任务调度所需的数据质量,提出基于5G+MEC的电网边缘计算平台任务安全性调度方法。结合机密性服务和完整性服务,构建任务调度安全等级模型,约束调度任务队列调度传输过程中的风险,实现5G核心网的安全传输;确认优先级队列类型,选择最小化队列与最大队列,进行数据资源最大化支持、MEC 设备端的任务调度,构建分布式任务调度模型,并利用 Lyapunov候选函数提升任务调度的稳定性,通过交替方向乘子法求解模型,获取任务安全性调度最优解。测试结果表明,应用该方法后,风险概率结果均在0.15~0.35的范围波动,MEC设备提供的相关数据与核心服务器调度任务的拟合程度均高于0.92;任务调度数据的质量分值也高于0.94。
In order to ensure the security of task scheduling of grid edge computing platform and the data quality required by task scheduling
a task security scheduling method of grid edge computing platform based on 5G + MEC was proposed.Combined with confidentiality service and integrity service
the security level model of task scheduling was constructed to restrict the risk in the process of scheduling and transmission of scheduling task queue
so as to realize the secure transmission of 5G core network.The priority queue type was confirmd
the minimum queue and the maximum queue was selected
the maximization of data resources and the task scheduling of MEC equipment was supported
and a distributed task scheduling model was built.Using Lyapunov candidate function to improve the stability of task scheduling
and the model was solved by alternating direction multiplier method to obtain the optimal solution of task security scheduling.The test results show that after the application of this method
the risk probability results fluctuate in the range of 0.15~0.35
and the fitting degree between the relevant data provided by MEC equipment and the scheduling task of core server is higher than 0.92
the quality score of task scheduling data is also higher than 0.94.
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