Application Research On Distribute Real-time Database For Smart Community

Distributed real-time database is mainly used to solve the problems of data’sexplosive growth in current information age, and data real-time processing inreal-time system. Through the distribute technology huge amounts of data isdistributed stored on server nodes, and all the nodes are unified managed bydistributed real-time database management system, mass data storage is no longer aproblem. Data and the transaction can be defined as a timing requirements, meet therequirements of data processing in real-time system. For the request of the databaseservice for smart community platform, this thesis puts forward the distributedreal-time database server design for smart community.According to the process of the smart community platform database servicedemand, distributed real-time database storage technology, distributed real-timetransaction and application in the smart community, the following works have beendone in this thesis:(1) Introduce the problems and challenges faced by mass data storage andreal-time system, analyze the background and status of the distributed real-timedatabase. Aim at satisfying smart community platform data services demand for massdata storage and data real-time processing, this thesis put forward the distributedreal-time database application framework for smart community, and detailed designfor database services.(2) In order to satisfy the real-time data processing requirement in huge amountsof data environment, the distributed real-time database establishes on the basis of thememory database, research the data structure and data exchange strategy in theprocess of storage, distributed real-time transaction under the environment of prioritydispatching and distributed real-time transaction commit protocol.(3) Distributed real-time database is applied to the smart communitymanagement of public information platform, and comparing with the results obtainedwith the traditional database application, shows superior performance in dataprocessing speed, distributed real-time transaction processing.For the data service demand of the smart community, distributed real-time database is deeply researched in this thesis, designs application architecture, and testsvalidation in the intelligence community platform, has obtained the good effect, it cansatisfy the demands of intelligence community data services.