Model of Cloud-Edge Cooperative Service for Maritime Edge Computing

YUE Guang-xue; DAI Ya-sheng; YANG Xiao-hui; YANG Zhong-min; MA Bo-lin; LIU Jian-hua

doi:10.12263/DZXB.20200565

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Model of Cloud-Edge Cooperative Service for Maritime Edge Computing

PAPERS | 更新时间：2025-12-08

- Model of Cloud-Edge Cooperative Service for Maritime Edge Computing
- ACTA ELECTRONICA SINICA Vol. 49, Issue 12, Pages: 2407-2420(2021)
- 作者机构：
  
  1.嘉兴学院数理与信息工程学院，浙江嘉兴 314001
  2.绍兴文理学院计算机科学与工程系，浙江绍兴 312000
- 作者简介：
- 基金信息：
- DOI：10.12263/DZXB.20200565
  CLC： TP393
- Received：15 June 2020，
  
  Revised：2021-07-19，
  
  Published：25 December 2021
- 稿件说明：
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乐光学,戴亚盛,杨晓慧等.海上边缘计算云边智能协同服务建模[J].电子学报,2021,49(12):2407-2420.

YUE Guang-xue,DAI Ya-sheng,YANG Xiao-hui,et al.Model of Cloud-Edge Cooperative Service for Maritime Edge Computing[J].ACTA ELECTRONICA SINICA,2021,49(12):2407-2420.
乐光学,戴亚盛,杨晓慧等.海上边缘计算云边智能协同服务建模[J].电子学报,2021,49(12):2407-2420. DOI： 10.12263/DZXB.20200565.

YUE Guang-xue,DAI Ya-sheng,YANG Xiao-hui,et al.Model of Cloud-Edge Cooperative Service for Maritime Edge Computing[J].ACTA ELECTRONICA SINICA,2021,49(12):2407-2420. DOI： 10.12263/DZXB.20200565.

摘要

由于受环境、资源、能耗、异构等因素制约，海上无线技术发展明显滞后于陆地．以低开销、自适应和自主融合为约束，提出一种海上边缘计算云边智能协同服务策略模型（Model of Cloud-Edge Cooperative Service Scheme for Maritime Edge Computing，MCECS-MEC）．基于边缘计算构建海上云边智能协同服务网络框架，抽象海上边缘计算节点行为特征，建立具有抑制联合作弊的节点信任和推荐量化综合评价模型，根据其综合属性评价将准盟员节点融合聚类到不同的协同服务池，实现分级就近服务；基于协同服务请求的优先级和负载均衡理论，设计协同服务池组建规则和段页式自适应轻量级、自适应过热规避盟员发现算法，以状态机方式描述和分析MCECS-MEC协同服务状态演化．基于Router View公开数据集对MCECS-MEC模型性能进行仿真分析，仿真实验表明，MCECS-MEC相比于AODV（Ad hoc On-Demand Distance Vector Routing）、SR（Stochastic Routing）算法，减少了57.7%和55.04%的冗余传输流量，链路重寻率小于3%，负载率稳定于65%．MCECS-MEC模型能有效降低过载、热区、空洞效应等对网络性能的影响，提高海上边缘计算云边智能协同服务效率和质量．

Abstract

Limited by environment

resources

energy consumption

heterogeneity

etc.

the development of maritime wireless data network technology is backward. A model of cloud-edge cooperative service scheme for maritime edge computing(MCECS-MEC) is proposed. Based on edge computing

it constructs an intelligent cloud-edge cooperative service network framework in maritime edge computing. The abstracted behavior characteristics of nodes in maritime edge computing are clustered into different cooperative service pools by restraining the joint cheating trust evaluation and recommendation quantitative comprehensive evaluation models. Based on the priority evaluation and the theory of load balancing of cooperative service

the rules of building cooperative service pool and the algorithm of segment page adaptive lightweight and heavy load avoidance are designed to discovery cooperative node. The state evolution of MCECS-MEC cooperative service is described and analyzed by state machine. Based on router view open data set

simulation results show that our algorithm reduces 57.7% and 55.04% redundant transmission traffic compared with ad hoc on-demand distance vector routing(AODV) and stochastic routing(SR). The link retransmission rate is less than 3%

and the load rate is stable at 65%. It can effectively alleviate node overload and hot region

and improve the efficiency and quality of service of cooperative service of maritime edge computing.

关键词

Keywords

references

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