Network equipment health degree assessment method determined based on objective weight

Abstract

The invention discloses a network equipment health degree assessment method determined based on an objective weight. The method comprises the following steps: S1, partitioning equipment according to layers, wherein a network manager partitions the equipment according to the layers by importing of static network topology information, and the location of corresponding equipment with a larger layer number in a network is more important; S2, setting an initial priority for each piece of equipment according to the equipment layer numbers; S3, acquiring running data information of data center network equipment, and writing the acquired information into a database according to acquisition time; S4, processing acquired parameter data; and S5, calculating network equipment health degrees: analyzing single network equipment respectively according to network equipment set information and a network equipment data acquisition time sequence to obtain processed parameter data, and acquiring health values of the network equipment at a time point by a health degree calculation formula. The network equipment health degree assessment method has the advantages of simple principle, easiness and convenience in operation, realization of objective and accurate assessment, and the like.

Description

technical field [0001] The invention mainly relates to the technical field of performance evaluation and optimization of a network system, in particular to a network equipment health evaluation method mainly applicable to high-speed Ethernet, IP packet network and InfiniBand high-speed network. Background technique [0002] With the development and maturity of cloud technology, data center networks carry more and more types of applications, such as scientific computing, biopharmaceuticals, mathematical modeling, weather forecasting, cluster computing, distributed file systems, etc. As the data computing and storage center of these applications, the data center provides services such as shared infrastructure, information processing and application environment in a supply chain manner. [0003] Data centers are different from traditional networks. Modern data centers usually have a scale of tens of thousands of nodes. As the network scale continues to increase, in addition to ...

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Problems solved by technology

But the disadvantage is that Tcpflags as an evaluation parameter will cause Tcp retransmission to increase the ratio of normal Tcp connections after the Tcp connection times out, which may cause a large evaluation value and cannot reflect the real network situation.

[0006] (2) SVM-based network performance evaluation method, which is characterized by performing SVM classification training on normal samples and fault samples, combined with cloud models to evaluate network performance. The advantage is that the objectivity of the evaluation results is improved. The disadvantage is that in Select the sample and sample normalization process. If the gap between the samples is relatively large, or the normalized parameter data deviates far from the normal operating value of the parameter, the evaluation result will be inaccurate.

[0007] (3) Analyze the relationship between different events and network performance, considering more impact events. The advantage is that it can respond quickly according to the network events that occur. The disadvantage is that there are complex correlations between various factors that affect network performance. , simply considering the impact of each event on network performance, it is difficult to find the key factors affecting network performance, and it also increases the complexity of the system

This method can divide complex network problems into simple local modules, but it does not consider the hierarchical structure of network equipment deployment, and cannot dynamically adjust according to the hierarchical structure of network equipment.

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