Abstract
Cloud network oriented to dynamics big data is a popular way of big data operation at present. It is a big data that can be applied to human behavior under dynamics. Time-based features include communication, network access and migration activities combined with unique physiological characteristics to complete big data. This paper aims to study a new cloud hybrid network architecture based on edge computing. This article uses this architecture to tectonic fog calculation layer between cloud servers and devices using edge devices such as communications and networks. After analysis, the obtained results are actively cached on the fog computing device and compared with the data of the telecommunication network detection terminal on the fog device. To consider the final result. The experimental data show that the distributed computing scheme can achieve the goal of minimizing the task processing delay. The experimental results show that the cloud network of the dynamic big data can meet the requirements of the contemporary big data completely, and the utilization ratio of the big data can reach 90%, and the calculation scheme of the mathematical model can run completely.
Highlights
Dynamics big data is a kind of big data cloud computing system which is divided into four parts: cloud platform, cloud storage, terminal and security
In the traditional technology, when the cloud computing data center uses in the medical aspect, the processing medical big data application, has the question which cannot satisfy the instant
We propose a cloud network and mathematical model calculation scheme of the base plane dynamics big data, that is, constructing a marginalized fog computing layer between the medical service terminal and the computing center to detect our clinical medical equipment and put the measured medical data into this computing layer
Summary
Dynamics big data is a kind of big data cloud computing system which is divided into four parts: cloud platform, cloud storage, terminal and security. Cloud platform is the basic platform to help us do cloud computing, the hardware resources we need are managed by him, mainly composed of memory, CPU, switch and so on, the platform virtually creates each data center through technology, and integrates to protect the difference between different underlying devices. Provide various services to users, for users, the platform is three modes: public cloud, private cloud, mixed cloud. Shared Cloud is a third-party supplier to Guangzhou the public cloud platform for large users, and the user group can be accessed through the network. The private cloud is built only for a private user, so the cloud network of dynamical big data is built. Dynamics big data in this era of vigorous development of science and technology has become the mainstream, because
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