本文選題：云計算　切入點：人口信息系統(tǒng)　出處：《北京郵電大學》2012年碩士論文　論文類型：學位論文

【摘要】：根據(jù)初步需求,本文設計并實現(xiàn)了一套人口信息系統(tǒng)的應用層面部署架構及數(shù)據(jù)庫集群架構,并投入在線使用。但在平時的使用的過程中,海量異構數(shù)據(jù)、高并發(fā)訪問量、大量文件存儲以及歷史遺留系統(tǒng)集成等問題日趨顯現(xiàn)出來,特別是數(shù)據(jù)存儲層面問題凸顯。 鑒于云計算可以集中優(yōu)勢資源,在盡可能降低能耗的前提下,可為用戶提供更高質量的計算服務,本文著重對云計算領域做了相應的研究,在引入云計算設計思想的基礎上,對原有系統(tǒng)做了相應的升級改造,設計出 套基于云計算的人口信息系統(tǒng)數(shù)據(jù)資源架構及相應的調度體系,以解決人口信息系統(tǒng)在使用中遇到的問題。 本文所提出的基于云計算的人口信息系統(tǒng)數(shù)據(jù)資源架構總共分為三個層次：應用實體層、數(shù)據(jù)存儲層以及服務管理層。每層完成固定任務,各層之間相互協(xié)作。應用實體層主要負責對用戶提供邏輯業(yè)務服務,人口信息系統(tǒng)的核心業(yè)務都在此層實現(xiàn)。數(shù)據(jù)存儲層承擔數(shù)據(jù)組織、存儲、路由與管理的任務,統(tǒng)一管理大量的數(shù)據(jù)庫資源,并將這些作數(shù)據(jù)庫資源虛擬化處理,形成一個巨大的類數(shù)據(jù)庫體,即虛擬化數(shù)據(jù)資源池,為上面的應用實體提供強大的、穩(wěn)定的數(shù)據(jù)管理服務。數(shù)據(jù)存儲層可以分為兩個子層：數(shù)據(jù)路由平臺層和數(shù)據(jù)庫基礎設施層。數(shù)據(jù)路由平臺層主要承擔數(shù)據(jù)路由任務,將來自應用層的數(shù)據(jù)訪問請求分到規(guī)定的虛擬數(shù)據(jù)庫基礎設施上；數(shù)據(jù)庫基礎設施層主要是是數(shù)據(jù)庫節(jié)點的集合,具體負責數(shù)據(jù)的組織、存儲以及管理工作。服務管理層主要負責數(shù)據(jù)庫資源使用情況的監(jiān)控,并根據(jù)監(jiān)控情況對各區(qū)數(shù)據(jù)庫資源進行合理調度。同時,本文在最后提出了一套調度體系以及相應的調度算法。
[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.
【學位授予單位】：北京郵電大學
【學位級別】：碩士
【學位授予年份】：2012
【分類號】：TP311.13;C921

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本文編號：1635603