soa service quality monitoring system based on cross-layer architecture

Abstract

The invention relates to an SOA service quality monitoring system based on a cross-layer framework. A network system is divided into a node layer, a network layer and an application layer by the SOA service quality monitoring system. The node layer is deployed with a device management service, the network layer is deployed with a network layer resource management service, and the application layer is deployed with an application layer resource management service. The device management service is used for managing local resources, monitoring the node layer service and responding invoking of operating services on a node layer device. The network layer resource management service is used for measuring bandwidth of a transmission channel and predicting a network time delay. The network layer can transmit the measured bandwidth of the transmission channel and the predicted network time delay to the application layer. The application layer resource management service performs required coordinated decisions according to service quality requirements of application programs so that service quality provided by the whole network system can meet demands of node layer service quality. According to the SOA service quality monitoring system based on the cross-layer framework, various performance parameters can be monitored and fed back in real time so that the SOA service quality monitoring system based on the cross-layer framework is high in monitoring sensitivity, low in network load and high in expansibility.

Description

technical field [0001] The invention relates to a quality monitoring system, in particular to an SOA service quality monitoring system based on a cross-layer architecture, belonging to the technical field of network service quality monitoring. Background technique [0002] Currently, there are various network application service quality monitoring systems, which can monitor network load, utilization of software and hardware resources, and changes in the system operating environment. For example, the European IST research project IST-AQUILA has developed an inter-domain service quality indicator monitoring system, but the system uses centralized management. With the expansion of the network and software and hardware scale, the performance of the centralized management module will become a bottleneck , the scalability of the system will be limited. At the same time, the centralized management module may have a single point of failure and cause the failure of the entire system...

AI Technical Summary

Problems solved by technology

For example, the European IST research project IST-AQUILA has developed an inter-domain service quality indicator monitoring system, but the system uses centralized management. With the expansion of the network and software and hardware scale, the performance of the centralized management module will become a bottleneck , the scalability of the system will be limited

At the same time, the centralized management module may have a single point of failure and cause the failure of the entire system

Another example is the Internet service quality monitoring system used by a domestic telecom operator. Although it adopts a multi-layer monitoring method to realize the monitoring and management of Internet user service quality and has strong scalability, the system uses regional gateways. The monitoring method of regular query cannot obtain the operating status of the terminal equipment in time, and the sensitivity is poor

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