基于多智能体系统的云计算
摘 要
多智能体系统是研究智能体在群体中的行为与交互的学科。它可以将云计算的实体看作是一个个智能体，并通过智能体之间的信息交互和协作来实现云计算资源的分配。
基于多智能体系统的云计算资源分配算法，通过定义适当的智能体模型和协议来实现资源的统一管理和智能调度。该算法能够根据资源的实时使用情况、性能水平和可靠性要求等因素，智能地调整资源的分配策略，实现高效的资源利用和优化。本论文提出了一种基于多智能体系统的云计算资源分配算法，在分析现有算法的基础上，通过引入智能体间的协作与博弈论理论，实现了更为准确、高效的云计算资源分配。实验结果表明，该算法实现了资源的动态管理和部署，提供了更高的服务质量和用户满意度。
关键词：云计算；资源分配算法；协作与博弈论；资源分配
ABSTRACT
Multi-Agent Systems is a discipline that studies the behavior and interaction of intelligent agents in a group. It considers cloud computing entities as intelligent agents and achieves the allocation of cloud computing resources by information exchange and collaboration between agents. Based on Multi-Agent Systems, a resource allocation algorithm for cloud computing is proposed in this paper. By defining appropriate agent models and protocols, resources can be managed and scheduled intelligently according to real-time usage, performance levels, and reliability requirements, resulting in efficient resource utilization and optimization. After analyzing existing algorithms, this paper introduces cooperation and game theory into multi-agent systems and achieves more accurate and efficient cloud computing resource allocation. Experimental results show that the algorithm achieves dynamic management and deployment of resources and provides higher service quality and user satisfaction.
Keywords: Cloud Computing Resource Allocation Algorithm Cooperation and Game Theory Resource Allocation
目 录
前言 1
1 多智能体系统 2
1.1多智能体系统概述 2
1.2多智能体系统模型 2
1.3多智能体系统智能体行为模型 3
2 云计算 4
2.1云计算概述 4
2.2云计算资源池 4
2.3云计算资源调度策略 5
3 基于多智能体系统的云计算资源分配算法 7
3.1算法设计 7
3.2算法实现 7
3.3算法模拟与实验 7
4 算法评价与分析 9
4.1 实验设计 9
4.2 实验结果分析 9
4.3 算法评价 9
结论 11
参 考 文 献 12
致 谢 13
摘 要
多智能体系统是研究智能体在群体中的行为与交互的学科。它可以将云计算的实体看作是一个个智能体，并通过智能体之间的信息交互和协作来实现云计算资源的分配。
基于多智能体系统的云计算资源分配算法，通过定义适当的智能体模型和协议来实现资源的统一管理和智能调度。该算法能够根据资源的实时使用情况、性能水平和可靠性要求等因素，智能地调整资源的分配策略，实现高效的资源利用和优化。本论文提出了一种基于多智能体系统的云计算资源分配算法，在分析现有算法的基础上，通过引入智能体间的协作与博弈论理论，实现了更为准确、高效的云计算资源分配。实验结果表明，该算法实现了资源的动态管理和部署，提供了更高的服务质量和用户满意度。
关键词：云计算；资源分配算法；协作与博弈论；资源分配
ABSTRACT
Multi-Agent Systems is a discipline that studies the behavior and interaction of intelligent agents in a group. It considers cloud computing entities as intelligent agents and achieves the allocation of cloud computing resources by information exchange and collaboration between agents. Based on Multi-Agent Systems, a resource allocation algorithm for cloud computing is proposed in this paper. By defining appropriate agent models and protocols, resources can be managed and scheduled intelligently according to real-time usage, performance levels, and reliability requirements, resulting in efficient resource utilization and optimization. After analyzing existing algorithms, this paper introduces cooperation and game theory into multi-agent systems and achieves more accurate and efficient cloud computing resource allocation. Experimental results show that the algorithm achieves dynamic management and deployment of resources and provides higher service quality and user satisfaction.
Keywords: Cloud Computing Resource Allocation Algorithm Cooperation and Game Theory Resource Allocation
目 录
前言 1
1 多智能体系统 2
1.1多智能体系统概述 2
1.2多智能体系统模型 2
1.3多智能体系统智能体行为模型 3
2 云计算 4
2.1云计算概述 4
2.2云计算资源池 4
2.3云计算资源调度策略 5
3 基于多智能体系统的云计算资源分配算法 7
3.1算法设计 7
3.2算法实现 7
3.3算法模拟与实验 7
4 算法评价与分析 9
4.1 实验设计 9
4.2 实验结果分析 9
4.3 算法评价 9
结论 11
参 考 文 献 12
致 谢 13
