Task security scheduling method for 5G+MEC based grid edge computing platform

Shimulin XIE; Ijie BA; Xiang ZHANG; Zeyi TANG; Weifan NIAN; Xujie LIU

doi:10.11959/j.issn.1000-0801.2022262

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Task security scheduling method for 5G+MEC based grid edge computing platform

Research and Development | 更新时间：2024-06-05

- Task security scheduling method for 5G+MEC based grid edge computing platform
- Telecommunications Science Vol. 38, Issue 12, Pages: 78-85(2022)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2022262
  CLC： TP393
- Published Online：2022-12，
  
  Published：20 December 2022
- 稿件说明：
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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：

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.

摘要

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。

Abstract

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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Keywords

references

王旭亮 , 武宇亭 , 任宏丹 . 基于5G+MEC的数字化PaaS赋能平台在智慧安防的应用研究 [J ] . 电子技术应用 , 2020 , 46 ( 6 ): 6 - 11 , 15 .

WANG X L , WU Y T , REN H D . Research on application of digital PaaS enabling platform based on 5G+MEC in intelligent security [J ] . Application of Electronic Technique , 2020 , 46 ( 6 ): 6 - 11 , 15 .

庞慧 , 赵巍 . 5G网络下的大数据高效HCS模型及算法仿真 [J ] . 计算机仿真 , 2020 , 37 ( 7 ): 350 - 353 , 379 .

PANG H , ZHAO W . Big data efficient hybrid cloud storage model and algorithm simulation under 5G network [J ] . Computer Simulation , 2020 , 37 ( 7 ): 350 - 353 , 379 .

李蕾 , 闻征涛 , 任容玮 . 基于5G和MEC边缘云的智慧商超 [J ] . 电信科学 , 2019 , 35 ( S2 ): 143 - 148 .

LI L , WEN Z T , REN R W . Intelligent quarterly super based on 5G and MEC edge cloud [J ] . Telecommunications Science , 2019 , 35 ( S2 ): 143 - 148 .

张蕾 , 刘云毅 , 张建敏 , 等 . 基于MEC的能力开放及安全策略研究 [J ] . 电子技术应用 , 2020 , 46 ( 6 ): 1 - 5 .

ZHANG L , LIU Y Y , ZHANG J M , et al . Research on capability exposure and security strategy based on MEC [J ] . Application of Electronic Technique , 2020 , 46 ( 6 ): 1 - 5 .

简琤峰 , 裘科意 , 张美玉 . 一种面向边缘计算 QoE 的服务组合及调度方法 [J ] . 小型微型计算机系统 , 2019 , 40 ( 7 ): 1397 - 1403 .

JIAN C F , QIU K Y , ZHANG M Y . Two-stage edge service composition and scheduling method for edge computing QoE [J ] . Journal of Chinese Computer Systems , 2019 , 40 ( 7 ): 1397 - 1403 .

马堉银 , 郑万波 , 马勇 , 等 . 一种基于深度强化学习与概率性能感知的边缘计算环境多工作流卸载方法 [J ] . 计算机科学 , 2021 , 48 ( 1 ): 40 - 48 .

MA Y Y , ZHENG W B , MA Y , et al . Multi-workflow offloading method based on deep reinforcement learning and probabilistic performance-aware in edge computing environment [J ] . Computer Science , 2021 , 48 ( 1 ): 40 - 48 .

乐光学 , 戴亚盛 , 杨晓慧 , 等 . 边缘计算多约束可信协同任务迁移策略 [J ] . 电信科学 , 2019 , 35 ( 11 ): 36 - 50 .

YUE G X , DAI Y S , YANG X H , et al . Multi-constrained trusted cooperative task migration strategy for edge computing [J ] . Telecommunications Science , 2019 , 35 ( 11 ): 36 - 50 .

官国飞 , 宋庆武 , 刘恢 , 等 . 基于边缘计算的配网管理和运维体系研究 [J ] . 电网与清洁能源 , 2020 , 36 ( 10 ): 90 - 96 .

GUAN G F , SONG Q W , LIU H , et al . Research on distribution network management and operation and maintenance system based on edge computing [J ] . Power System and Clean Energy , 2020 , 36 ( 10 ): 90 - 96 .

薛艳芬 , 高继梅 , 范贵生 , 等 . 边缘计算中基于能耗感知的容错协同任务执行算法 [J ] . 计算机科学 , 2021 , 48 ( S1 ): 374 - 382 .

XUE Y F , GAO J M , FAN G S , et al . Energy-aware fault-tolerant collaborative task execution algorithm in edge computing [J ] . Computer Science , 2021 , 48 ( S1 ): 374 - 382 .

方娟 , 章佳兴 . 基于负载均衡的CPU- GPU异构计算平台任务调度策略 [J ] . 北京工业大学学报 , 2020 , 46 ( 7 ): 782 - 787 .

FANG J , ZHANG J X . Task scheduling strategy of CPU- GPU heterogeneous computing platform based on load balancing [J ] . Journal of Beijing University of Technology , 2020 , 46 ( 7 ): 782 - 787 .

陈莹 , 黄永彪 , 谢瑾 . 基于可靠性的多核系统硬实时任务并行调度 [J ] . 控制工程 , 2021 , 28 ( 1 ): 176 - 182 .

CHEN Y , HUANG Y B , XIE J . Reliability-based parallel scheduling of hard real-time tasks for multicore systems [J ] . Control Engineering of China , 2021 , 28 ( 1 ): 176 - 182 .

吕颖 , 贾育培 , 罗治强 , 等 . 计算资源共享的调度计划安全校核多应用并行计算调度 [J ] . 电网技术 , 2021 , 45 ( 2 ): 596 - 604 .

LYU Y , JIA Y P , LUO Z Q , et al . Security check of scheduling plan based on shared computing resources [J ] . Power System Technology , 2021 , 45 ( 2 ): 596 - 604 .

夏军 , 袁帅 , 杨逸 . 基于异构多核平台低能耗周期任务调度算法 [J ] . 计算机应用 , 2019 , 39 ( 10 ): 2980 - 2984 .

XIA J , YUAN S , YANG Y . Scheduling algorithm for periodic tasks with low energy consumption based on heterogeneous mult-core platforms [J ] . Journal of Computer Applications , 2019 , 39 ( 10 ): 2980 - 2984 .

王雪纯 , 黄少平 , 许爱东 , 等 . 基于相似性匹配的电网边缘终端数据隐私保护方法 [J ] . 南方电网技术 , 2020 , 14 ( 1 ): 80 - 85 .

WANG X C , HUANG S P , XU A D , et al . A similarity matching based data privacy-protection scheme for edge terminal in smart grid [J ] . Southern Power System Technology , 2020 , 14 ( 1 ): 80 - 85 .

李万清 , 刘辉 , 李忠金 , 等 . 移动边缘计算环境下面向安全和能耗感知的服务工作流调度方法 [J ] . 计算机集成制造系统 , 2020 , 26 ( 7 ): 1831 - 1842 .

LI W Q , LIU H , LI Z J , et al . Security and energy aware scheduling for service workflow in mobile edge computing [J ] . Computer Integrated Manufacturing Systems , 2020 , 26 ( 7 ): 1831 - 1842 .

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