Design and Implementation of Massive Surveillance Data Cloud Storage Service Model

Intensive monitoring is helpful to control the operational status of information systems and improv the efficiency of operation and maintenance, which has become the development direction of business monitoring of large-scale enterprises and departments. However, intensive monitoring brings about challenges in processing storage services for massive surveillance data. Taking an application in meteorological department business monitoring as an example, on the basis of analyzing the characteristics of monitoring data and comparing the technologies of massive data storage services, a massive surveillance data cloud storage service model is designed and implemented, it is capable of storing Indicator class and log event class monitoring data mainly through time series data storage and index storage technology, and able to achieve storage optimization. Application test results show that this massive surveillance data cloud storage service model has high efficiency, scalability and stability.