Cloud measurement device and method for IP network

Abstract

The invention provides a cloud measurement device and method for an IP network. The device is provided with three parts of a data analyzer, a measurement probe and a load balancer, wherein the data analyzer is provided with a data recovery module, a load balance module, a data processing module, a decision module and a cloud computing module; the measurement probe is provided with a measurement module, a data acquisition module, a data adaption module and a management module; and the load balancer is provided with a communication module, a network performance monitor module and a load balancedecision module. Huge measurement data is stored by using a cloud computing platform, reliability and expansibility of data storage are ensured, and rapid analysis and data mining are carried out on the huge measurement data by using a parallel processing mechanism of the cloud computing platform. The measurement probe supports multiple measurement algorithms and multiple formats of data acquisition. The measurement method provides a congestion response strategy and a load balance strategy. Therefore, the problems of data reliability and load balance between the multiple measurement probes and the data analyzer during storage and processing of the huge measurement data are solved.

Description

technical field [0001] The invention relates to a cloud measurement device and method for an IP network, and belongs to the technical field of data analysis and distributed data collection related to cloud computing in computer software technology. Background technique [0002] First of all, the meaning of the relevant technical terms involved in the technical solution of the present invention is introduced: [0003] Network measurement: It is a general term for a series of activities that use software and hardware tools to test and verify network performance indicators in accordance with established methods and techniques. It includes the following three elements: (1) Measurement objects: including the measured nodes and links, mainly measuring some indicators that can reflect network performance, such as link transmission delay, bandwidth, packet loss rate, etc. (2) Measurement environment: including selection of measurement points, determination of measurement time, meas...

AI Technical Summary

Problems solved by technology

When the data analysis platform fails, the measurement data of the measurement probe will be lost, which will seriously affect the reliability of the system.

Furthermore, the current distributed measurement platform also lacks an effective load balancing strategy. When the measurement probe uploads the measurement result data to the set data analysis platform, it cannot self-organize and dynamically generate data according to the network status and the load of the data analysis platform. Network topology, it is very easy to make the distribution of data traffic in the network unbalanced, some data analysis platforms will cause single point of failure due to heavy load, and cannot provide users with completely transparent services

Images