Model of Cloud-Edge Cooperative Service for Maritime Edge Computing

被引：0
|
作者：
Yue G.-X. [1 ]
Dai Y.-S. [1 ]
Yang X.-H. [1 ]
Yang Z.-M. [1 ]
Ma B.-L. [1 ]
Liu J.-H. [2 ]
机构：
[1] School of Mathematics and Information Engineering, Jiaxing University, Jiaxing
[2] Department of Computer Science and Engineering, Shaoxing University, Shaoxing
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2021年 / 49卷 / 12期
关键词：
Adaptive over hot avoidance; Intelligent cloud-edge cooperation; Maritime edge computing; The state evolution of cooperation; Trusted recommendation;
D O I：
10.12263/DZXB.20200565
中图分类号：
学科分类号：
摘要：
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. © 2021, Chinese Institute of Electronics. All right reserved.
引用
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页码：2407 / 2420
页数：13
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