Intelligent monitoring system and method for large distributed system oriented to security futures industry

Abstract

The invention discloses an intelligent monitoring system and method for a large distributed system oriented to the security futures industry. The system is applied between various data centers. On the basis of the structure of a decentralized control system, the system comprises a data acquisition layer, a monitoring control layer and a display layer, wherein the data acquisition layer is located on the bottom layer of the system and used for acquiring and compressing monitoring information of a monitored object; the monitoring control layer is in communication with the data acquisition layer and is used for analyzing and managing real-time data and historical data transmitted by the data acquisition layer; the display layer is located on the uppermost layer of the system and used for performing displaying and warning for users. The system has the advantage that the control center of the IT intelligent monitoring system with the multiple data centers is deployed, and therefore the availability of the IT intelligent monitoring system is guaranteed when a certain data center is not available wholly or partially. The IT intelligent monitoring system with the multiple data centers is of a symmetrical structure, copying and batch maintenance of the data centers can be conveniently performed, and the individualized requirement of a user can be totally met.

Description

technical field [0001] The invention relates to an intelligent monitoring system for distributed systems and a monitoring method using the system, in particular to an intelligent monitoring system for large-scale distributed systems in the securities and futures industry. Mainly related to patent classification number G06 calculation; reckoning; counting G06F electrical digital data processing G06F11 / 00 error detection; error correction; monitoring G06F11 / 30 monitoring. Background technique [0002] In recent years, large and medium-sized financial institutions and enterprises at home and abroad have widely adopted distributed system technology to meet the needs of financial services for parallel high-performance application processing and application fault tolerance. Distributed technology not only improves application processing performance and fault tolerance for IT systems, but also leads to a sharp expansion of the software and hardware scale of IT systems, which poses ...

AI Technical Summary

Problems solved by technology

However, these software and systems cannot fully meet the individual needs of users. The planning and design of the system are relatively closed, and the expansion methods and integration methods provided are too simple and rigid, which makes it difficult to integrate new functions, resulting in horizontal scale expansion and IT monitoring systems. After vertical function expansion, it cannot be effectively guaranteed in terms of availability, scalability, efficiency and intelligence

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