Abstract: With the rising of enterprise informatization demands in the production of real-time monitoring, massive storage and scientific analysis and decision, the operation and maintenance monitoring systems have gradually become the main management tools. By using the latest cloud computing technology, this paper designs and builds a cloud operation and maintenance monitoring system, which is easy to expand for data scale, quick for processing speed, high for security, and low for cost. And in the light of the shortcomings of slow response to the real-time extraction of massive and historical monitoring data in operation and maintenance control system, the paper designs and implements a distributed massive data processing model based on Hadoop. Simulation experiments show that the massive data extraction efficiency of the cloud monitoring system based on Hadoop is superior to traditional methods, and the advantage is more obvious with the rapid growth of the amount of data.

Key words: cloud computing, Hadoop, distributed computing, operation and maintenance monitoring