系统仿真学报 ›› 2016, Vol. 28 ›› Issue (1): 51-56.

• 仿真系统与技术 • 上一篇    下一篇

一种基于多智能体云供应链信息协同模型

江务学1, 胡选子1, 刘敏霞2, 陈俞强1   

  1. 1.东莞职业技术学院计算机工程系,东莞 523808;
    2.东莞理工学院电子工程学院,东莞 523808
  • 收稿日期:2014-06-28 修回日期:2014-10-23 发布日期:2020-07-02
  • 作者简介:江务学(1976-),男,湖北,硕士,副教授,研究方向为服务计算和智能计算。
  • 基金资助:
    国家自然科学基金(11047150); 广东省科技计划项目(2014A010103002); 广东省数控一代机械产品创新应用示范工程项目(2013B011301003)

Information Collaboration Model of Cloud Computing Supply Chain Based on Multi-Agent

Jiang Wuxue1, Hu Xuanzi1, Liu Minxia2, Chen Yuqiang1   

  1. 1. Department of Computer Engineering, Dongguan Polytechnic, Dongguan 523808, China;
    2. School of Electronic Engineering, Dongguan University of Technology, Dongguan 523808, China
  • Received:2014-06-28 Revised:2014-10-23 Published:2020-07-02

摘要: 为提高云计算供应链的工作效率并规避云计算带来的风险,提出了一种基于云计算的供应链信息协同模型。该模型拥有在线和离线两种基本状态,在线状态下,云计算中心负责协同整个供应链信息,而在离线状态下,各节点通过交易历史纪录和云数据中心各节点信息继续完成订单交易。基于Multi-agent的仿真表明,离线状态下的订单完成率稍低于在线状态下的订单完成率,均满足云供应链用户的常规需求,实验证实了该模式的可行性,同时离线状态有效的规避了云计算环境中的风险。

关键词: 供应链, 协同模型, 云计算, 规避风险, Multi-Agent系统, 离线/在线状态, 订单完成率, 协商策略

Abstract: In order to improve the work efficiency of supply chain in cloud computing and avoid the risks of cloud computing, a cloud-based supply chain information coordination model was proposed. The model has two basic states which are online status and offline status, at online state the cloud computing center is responsible for coordination of the entire supply chain information, and at offline state each node continues to complete the transaction order through the history record and each node information in the cloud data center. Simulation based on Multi-agent shows that the order completion rate in offline status is slightly lower than that in online status, and can meet the users' regular requirements in cloud computing supply chain. Experimental results confirm that the model is feasible, and the offline status can effectively avoid the risk in the cloud computing environment.

Key words: supply chain, collaboration model, cloud computing, risk avoidance, multi-agent system, online/offline status, order completion rate, negotiation strategy

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