Design And Implementation Of Performance Data Analysis System For Data Center Network Based On Large Data

Data center network is a large-scale data processing and storage infrastructure,and plays an important role in the Internet of things and cloud computing applications.The current data center network has become more mature.But there are complex traffic behavior inherent and network performance bottleneck in the data center network.This brings great challenges to the network operation and maintenance.These problems have increased the difficulty of network management,which greatly restricted the practical application of the data center network resources.In this paper,the characteristics of data center network are deeply analyzed,and the performance analysis architecture of data center network is designed,and the performance analysis method is proposed.The main innovations of the paper are as follows:(1)In view of the current data center network performance analysis,there are many problems,such as huge amount of data information,complex information sources and low availability of data information.The data center network performance analysis system architecture DNPAA is proposed.On this basis,the key technologies of hybrid data resource aggregation technology,multi-source data preprocessing technology and multi-thread pool concurrency data acquisition are further studied.(2)Existing network performance analysis methods mostly have the following problems: Limited to a specific service,limited by a set of training samples,high implementation complexity of assessment,inaccurate assessment when the network traffic behavior is complicated,and unable to meet the requirements of large-scale data center network For the rapid assessment of the overall network performance and the demand for early warning of sub-health equipment,a method of network performance analysis based on gradient grading strategy is proposed.The equipment's position in the network is hierarchically divided into different levels and different analysis strategies are more reasonable.Accurately calculate the device health value,find unstable network devices and potential failure devices.(3)The design and implementation of the data center network health degree analysis prototype system S_DNHA,including the functional design,database design,system implementation and other development work,while providing an interactive visual display client.