The Design of Network Topology Big Data Platform in Cloud Computing

As network services become more and more powerful, it also brings huge challenges to network management. In order to manage network services and devices easily and effectively, network topology assistance must be needed to accurately detect and define the location of each network device meeting. The purpose of this article is to study the design of large-scale database network topology in cloud computing. This article first introduces the related concepts of network topology and architecture, as well as the basic status of path algorithms, and studies and analyzes the concepts and mechanisms of network topology algorithms. Then, based on the network topology of cloud computing and cloud services, develop relevant knowledge and architectural concepts, and apply the Hadoop big data platform to the network topology optimization model of typical network problems. And through experiments to test the comparison of the four algorithms and the time complexity comparison, the experimental results show that the RGA algorithm costs 440 in 30 scenarios, which is more suitable for the network topology we designed.

I. Introduction

Big data is data with particularly complex forms and multiple formats. It needs to rely on cloud computing to process data applications [1]. The methods of big data integration are distributed on the Internet, and interleaved multiplexing has developed a model for big data to provide technical performance capabilities and big data to provide intelligent sources. The main advantage of cloud computing is computing power [2]–[3]. Only when a feasible algorithm model is developed on the big data cloud platform, the valuable network topology design can be well provided to users through the cloud service model and presented in an architectural manner [4].