Load balancing method for content monitoring of mobile service

Abstract

The invention provides a load balancing method for content monitoring of mobile service and also provides a load balancing structure for obtaining a data stream in a centralized way and processing the data stream in parallel according to the characteristics of the data stream and the content monitoring. According to the differences between different services in terms of flow characteristics, the load balancing method combining a static load scheduling and a self-adaptive load scheduling is adopted to process data packages efficiently; and the method considers special situations including abnormality of processing nodes, concurrent sessions and the like at the same time and ensures a stable and efficient operation of concurrent processing nodes. The load balancing method for content monitoring of mobile service can meet the functional and performance requirements for load balancing in the application of the content monitoring of the mobile service.

Description

technical field [0001] The invention relates to a load balancing method applied to the monitoring of mobile service content. According to the data flow characteristics of large-scale user groups under the background of the third generation mobile communication technology, the data flow is reasonably distributed to the processing nodes, and the processing node performs the processing after obtaining the data flow. Protocol analysis, data restoration, content filtering, etc. The method belongs to the field of information security. Background technique [0002] Load Balancing mainly discusses task distribution and scheduling among processing nodes. Load balancing technology allows multiple processing nodes to share heavy calculations or tasks. By grasping the data flow status in the network, an appropriate load balancing algorithm should be selected to distribute tasks in a reasonable and balanced manner, eliminating or avoiding uneven load and processing The time is too long...

AI Technical Summary

Problems solved by technology

It generally uses algorithms such as random scheduling and round-robin scheduling, which can achieve uniform distribution at the packet level, which is simple to implement and has fewer record states, but it cannot guarantee the order of packets. Packets belonging to the same flow will be distributed to different processing nodes. The integrity of the analysis content cannot be guaranteed

The balance granularity of flow-level load balancing is a flow or flow bundle. Generally, Hash technology is used to ensure the sequence and correlation of packets, so as to realize the same flow and same destination, but it may not be able to achieve even distribution of traffic.

[0004] For mobile business content monitoring applications, it is necessary to consider the data restoration of business content, the type of business monitored and the characteristics of business traffic. Simply using any of the above load balancing methods will not be able to achieve a good load balancing effect

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