基于云计算的人口信息系统数据资源架构及调度体系研究与设计

发布时间：2018-03-19 19:07

本文选题：云计算　切入点：人口信息系统　出处：《北京邮电大学》2012年硕士论文　论文类型：学位论文

【摘要】：根据初步需求,本文设计并实现了一套人口信息系统的应用层面部署架构及数据库集群架构,并投入在线使用。但在平时的使用的过程中,海量异构数据、高并发访问量、大量文件存储以及历史遗留系统集成等问题日趋显现出来,特别是数据存储层面问题凸显。鉴于云计算可以集中优势资源,在尽可能降低能耗的前提下,可为用户提供更高质量的计算服务,本文着重对云计算领域做了相应的研究,在引入云计算设计思想的基础上,对原有系统做了相应的升级改造,设计出套基于云计算的人口信息系统数据资源架构及相应的调度体系,以解决人口信息系统在使用中遇到的问题。本文所提出的基于云计算的人口信息系统数据资源架构总共分为三个层次：应用实体层、数据存储层以及服务管理层。每层完成固定任务,各层之间相互协作。应用实体层主要负责对用户提供逻辑业务服务,人口信息系统的核心业务都在此层实现。数据存储层承担数据组织、存储、路由与管理的任务,统一管理大量的数据库资源,并将这些作数据库资源虚拟化处理,形成一个巨大的类数据库体,即虚拟化数据资源池,为上面的应用实体提供强大的、稳定的数据管理服务。数据存储层可以分为两个子层：数据路由平台层和数据库基础设施层。数据路由平台层主要承担数据路由任务,将来自应用层的数据访问请求分到规定的虚拟数据库基础设施上；数据库基础设施层主要是是数据库节点的集合,具体负责数据的组织、存储以及管理工作。服务管理层主要负责数据库资源使用情况的监控,并根据监控情况对各区数据库资源进行合理调度。同时,本文在最后提出了一套调度体系以及相应的调度算法。
[Abstract]:According to the initial requirements, this paper designs and implements a set of application level deployment architecture and database cluster architecture of population information system, and puts them into online use. Many problems such as file storage and the integration of legacy systems are emerging day by day, especially at the data storage level. In view of cloud computing can concentrate advantage resources, under the premise of reducing energy consumption as much as possible, can provide users with higher quality computing services, this paper focuses on the cloud computing field, based on the introduction of cloud computing design ideas. The corresponding upgrade and transformation of the original system are made, and the corresponding design of the system is given. The data resource architecture of population information system based on cloud computing and the corresponding scheduling system are set to solve the problems encountered in the use of population information system. The data resource architecture of population information system based on cloud computing is divided into three levels: application entity layer, data storage layer and service management layer. The application entity layer is mainly responsible for providing logical service to the user, and the core business of population information system is realized in this layer. The data storage layer undertakes the tasks of data organization, storage, routing and management. Unified management of a large number of database resources, and these as database resources virtualization processing, forming a large class of database body, that is, virtualized data resource pool, for the above application entities to provide a powerful, The data storage layer can be divided into two sub-layers: the data routing platform layer and the database infrastructure layer. The data access request from the application layer is divided into the specified virtual database infrastructure, which is mainly a collection of database nodes, which is responsible for the organization of the data. Storage and management. Service management is mainly responsible for monitoring the use of database resources, and according to the monitoring situation of the reasonable scheduling of database resources in each district. At the end of this paper, a set of scheduling system and corresponding scheduling algorithm are proposed.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TP311.13;C921

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