基于经济学的制造网格资源管理理论与应用研究
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摘要
制造资源的异构性、地域分布性和管理多重性,给制造网格资源管理带来极大挑战。为此,学者们主要通过研究制造网格资源服务封装、信息服务、服务质量(Quality of Service, QoS)和资源优化配置等方面予以解决。但对制造网格资源管理中经济现象与资源价值研究不足,没有构建系统的理论和方法。主要体现在以下方面：①制造网格系统中资源如何交易和定价,如何保证资源信息的可信度?②制造业中知识丰富,用户如何语义描述资源?③当用户不需要遍历所有相关制造资源时,如何实现经验式搜索?④制造网格资源管理系统如何实现资源预留,特别是高效地实现联合预留?⑤如何保障制造网格QoS而执行资源调度作业?
本文围绕以上制造网格研究中存在的问题,在深入研究制造网格环境下的资源管理基础上,提出了制造网格资源管理体系架构。据此架构,设计了支持多种资源交易模式的制造网格资源市场平台,并系统分析了制造网格资源市场中各种经济现象。针对这些经济现象和制造网格资源的特点,提出了基于经济学的制造网格资源管理整体解决方案并开发了实验平台。本文主要研究工作如下：
(1)分析了制造网格资源管理中所涉及的经济学原理和制造网格市场特征；构建了制造网格资源市场模型；设计了制造网格资源市场技术堆栈图和基于网格中间件的资源管理系统具体实现框架；建立了四种常用的制造网格市场交易模型;设计了资源共享流程。
(2)提出了基于精炼贝叶斯均衡的制造网格资源交易诚信机制,并对该机制进行建模、求解和分析；对该诚信机制进行仿真实验和结果数据分析。
(3)提出了一种制造网格资源预留机制与方法。研究了制造网格资源预留全生命周期；分析了三种网格资源预留模式；设计了制造网格资源联合预留架构,实现了两种制造网格资源预留模式；给出了资源联合预留协商流程和通信API；重点设计了基于图论的制造网格资源联合预留算法,并对该算法进行性能测试分析。
(4)提出了基于混沌量子进化的制造网格资源调度算法。研究制造网格资源管理对QoS的需求；设计了制造网格QoS的层次结构模型；设计混沌量子进化算法对满足用户QoS需求的制造网格资源调度进行研究,进行多方面的算法性能仿真测试。
(5)开发了面向汽车零部件的制造网格资源管理系统实验平台。尝试在制造网格资源管理平台上实现汽车零部件的产品搜索、生产采购、资源预留与调度等主要功能,打破了地域界限,在全球范围内配置资源。通过实验平台,对本文所提出的制造网格资源管理理论进行完善和修正。
Since the isomerism, diversity, distribution and management multiplicity of manufacturing resources, it gives the manufacturing grid (MGrid) resource management a great challenge. In order to solve these problems, many researchers have studied resource encapsulation, information services, quality of service (QoS), and optimal allocation etc. However, there is few systematic theory and methodology concentrating on economic phenomena and resource value in the MGrid resource management. The insufficient research mainly reflects in the following aspects:(1) How to trade and make a price in the MGrid system, meanwhile guarantee the authenticity of resource information? (2) How to semantically describe resources for users in order to publish resource information? (3)How to realize the empirical search in order to avoid traversing all resource information? (4)How to realize the resource reservation efficiently, especially when there are large amounts of co-reservation? (5)How to schedule resources with guaranteeing MGrid QoS?
This doctoral dissertation focuses on the above questions. Based on the in-depth research on the MGrid resource management, the dissertation proposes a MGrid resource management architecture (MGridRMA). According to the MGridRMA, a platform of MGrid resource market is designed to support multiple trading models. The possible economic phenomena in the MGrid resource market are systematically analyzed. The system solutions of MGrid resource management based on economics are given. Finally, the experimental platform is developed in order to verify the proposed theory and methodologies. The main contributions and works of this dissertation are as follows:
(1)The principles of economics involved in the MGrid resource management are analyzed. The characteristics of MGrid resource market are given out and the model of MGrid resource market is established. The technology stack of MGrid resource market is designed, in order to demonstrate the important factors for establishing a MGrid resource management system based on economics. The framework of MGrid resource management based on economics is realized, utilizing the grid core middleware. The economic relationships between all entities and the information asymmetry in the MGrid resource market are analyzed. Four kinds of common resource trading models are built on the MGrid resource market and then the flow of resource management is designed.
(2)The credit mechanism based on perfect Bayesian equilibrium is proposed. Then model the mechanism, solve and analyze the model. Finally, take a simulation experiment on the mechanism and analyze the experimental data.
(3)The mechanism of MGrid resource reservation is proposed. The reservation life cycle is studied. The model of is classified into three categories. The architecture of MGrid resource co-reservation is designed to support the two models of reservation. A negotiation flow and a series of application programming interfaces (API) of co-reservation are given out. The processing of co-reservation requests is transferred to the subgraph isomorphism problem and an improved algorithm is introduced to solve it efficiently.
(4)Based on the quantum evolution theory, a hybrid chaotic quantum evolutionary algorithm (CQEA) for resource scheduling is proposed. The requirements of QoS in the MGrid system are given out. A layer model of MGrid QoS is designed. The CQEA is used to meet MGrid QoS in the process of resource scheduling. The experimental results show that the proposed CQEA is effective, efficient and scalability.
(5)The auto parts oriented MGrid resource management system (APOMGridRMS) is developed and implemented. The APOMGridRMS tries to implement resource search, production procurement, resource reservation and scheduling and so on. The main object of APOMGridRMS is to run and purchase all kings of auto parts acting as an agency for all its clients from all over the world. The APOMGridRMS helps us make the proposed theory perfect and revise the methodologies.
本文围绕以上制造网格研究中存在的问题,在深入研究制造网格环境下的资源管理基础上,提出了制造网格资源管理体系架构。据此架构,设计了支持多种资源交易模式的制造网格资源市场平台,并系统分析了制造网格资源市场中各种经济现象。针对这些经济现象和制造网格资源的特点,提出了基于经济学的制造网格资源管理整体解决方案并开发了实验平台。本文主要研究工作如下：
(1)分析了制造网格资源管理中所涉及的经济学原理和制造网格市场特征；构建了制造网格资源市场模型；设计了制造网格资源市场技术堆栈图和基于网格中间件的资源管理系统具体实现框架；建立了四种常用的制造网格市场交易模型;设计了资源共享流程。
(2)提出了基于精炼贝叶斯均衡的制造网格资源交易诚信机制,并对该机制进行建模、求解和分析；对该诚信机制进行仿真实验和结果数据分析。
(3)提出了一种制造网格资源预留机制与方法。研究了制造网格资源预留全生命周期；分析了三种网格资源预留模式；设计了制造网格资源联合预留架构,实现了两种制造网格资源预留模式；给出了资源联合预留协商流程和通信API；重点设计了基于图论的制造网格资源联合预留算法,并对该算法进行性能测试分析。
(4)提出了基于混沌量子进化的制造网格资源调度算法。研究制造网格资源管理对QoS的需求；设计了制造网格QoS的层次结构模型；设计混沌量子进化算法对满足用户QoS需求的制造网格资源调度进行研究,进行多方面的算法性能仿真测试。
(5)开发了面向汽车零部件的制造网格资源管理系统实验平台。尝试在制造网格资源管理平台上实现汽车零部件的产品搜索、生产采购、资源预留与调度等主要功能,打破了地域界限,在全球范围内配置资源。通过实验平台,对本文所提出的制造网格资源管理理论进行完善和修正。
Since the isomerism, diversity, distribution and management multiplicity of manufacturing resources, it gives the manufacturing grid (MGrid) resource management a great challenge. In order to solve these problems, many researchers have studied resource encapsulation, information services, quality of service (QoS), and optimal allocation etc. However, there is few systematic theory and methodology concentrating on economic phenomena and resource value in the MGrid resource management. The insufficient research mainly reflects in the following aspects:(1) How to trade and make a price in the MGrid system, meanwhile guarantee the authenticity of resource information? (2) How to semantically describe resources for users in order to publish resource information? (3)How to realize the empirical search in order to avoid traversing all resource information? (4)How to realize the resource reservation efficiently, especially when there are large amounts of co-reservation? (5)How to schedule resources with guaranteeing MGrid QoS?
This doctoral dissertation focuses on the above questions. Based on the in-depth research on the MGrid resource management, the dissertation proposes a MGrid resource management architecture (MGridRMA). According to the MGridRMA, a platform of MGrid resource market is designed to support multiple trading models. The possible economic phenomena in the MGrid resource market are systematically analyzed. The system solutions of MGrid resource management based on economics are given. Finally, the experimental platform is developed in order to verify the proposed theory and methodologies. The main contributions and works of this dissertation are as follows:
(1)The principles of economics involved in the MGrid resource management are analyzed. The characteristics of MGrid resource market are given out and the model of MGrid resource market is established. The technology stack of MGrid resource market is designed, in order to demonstrate the important factors for establishing a MGrid resource management system based on economics. The framework of MGrid resource management based on economics is realized, utilizing the grid core middleware. The economic relationships between all entities and the information asymmetry in the MGrid resource market are analyzed. Four kinds of common resource trading models are built on the MGrid resource market and then the flow of resource management is designed.
(2)The credit mechanism based on perfect Bayesian equilibrium is proposed. Then model the mechanism, solve and analyze the model. Finally, take a simulation experiment on the mechanism and analyze the experimental data.
(3)The mechanism of MGrid resource reservation is proposed. The reservation life cycle is studied. The model of is classified into three categories. The architecture of MGrid resource co-reservation is designed to support the two models of reservation. A negotiation flow and a series of application programming interfaces (API) of co-reservation are given out. The processing of co-reservation requests is transferred to the subgraph isomorphism problem and an improved algorithm is introduced to solve it efficiently.
(4)Based on the quantum evolution theory, a hybrid chaotic quantum evolutionary algorithm (CQEA) for resource scheduling is proposed. The requirements of QoS in the MGrid system are given out. A layer model of MGrid QoS is designed. The CQEA is used to meet MGrid QoS in the process of resource scheduling. The experimental results show that the proposed CQEA is effective, efficient and scalability.
(5)The auto parts oriented MGrid resource management system (APOMGridRMS) is developed and implemented. The APOMGridRMS tries to implement resource search, production procurement, resource reservation and scheduling and so on. The main object of APOMGridRMS is to run and purchase all kings of auto parts acting as an agency for all its clients from all over the world. The APOMGridRMS helps us make the proposed theory perfect and revise the methodologies.
引文
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