| Along with the population of computer and evolution of network techno ledge,policing system starts to make use of computer techno ledge to replace manual work, inorder to play a better role in policing work. Policing informatization provides servicesranging from record entering to statistics and inquiries. But the current policinginformation system faces some difficulties in storage: first, policing data grows fast,especially after data networking which increases the burden of tradition databases.Second, database software locates directly above hardware, shares computing resourceswith other software and is lack of isolation. Third, storage platform of policing systemhave little of scalability. And fourth, tradition database can’t deal with big data,especially the unstructured data.Therefor my study is to optimize storage platform of policing information system.The work includes three parts:1. To place tradition database software above a new storage platform. Thisplatform locates between database and hardware. It unifies computingresources with KVM virtualization technique and provides service withCloudStack managing virtualized computing resources.2. Create a distributed file system with Hadoop. All the big data can be storage inHDFS and be analyzed in parallel with MapReduce framework. Takeadvantage of Hadoop’s supporting of big data, this storage platform canprovide analysis function of policing data and software log.3. With Sqoop, we can import data from relational database to HDFS and thenexport data from HDFS to relational database. In this way, we can achieve datamigration goal.This study provides a new design and implementation of policing informationsystem storage platform. Taking advantage of cloud computing, we add reliability,scalability and big data ability to tradition storage system. Along with develop ofpolicing informatization, this design will take a better place in storage system. |