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Cloud and mist mixing path determination method for medical big data

A technology of mixing paths and determining methods, applied in the field of communication, can solve the problems of not considering the complexity problem and the unreliability of the wireless communication mechanism, and achieve the effect of reducing the probability of equipment failure, reducing communication overhead, and reducing processing delay

Active Publication Date: 2020-02-21
XIDIAN UNIV
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Problems solved by technology

However, this framework does not consider the complexity of each node device in terms of computing, communication, storage, etc., and its wireless communication mechanism is unreliable.

Method used

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  • Cloud and mist mixing path determination method for medical big data
  • Cloud and mist mixing path determination method for medical big data
  • Cloud and mist mixing path determination method for medical big data

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Embodiment Construction

[0045] The specific embodiments and effects of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0046] refer to figure 1 , the implementation steps of this example are as follows:

[0047] Step 1, form the cloud-fog hybrid network of the hospital.

[0048] refer to figure 2 , the overall architecture of the hospital cloud-fog hybrid network formed in this embodiment is divided into three layers: cloud computing layer, fog computing layer, and end user layer, wherein:

[0049] The cloud computing layer is composed of high-performance server clusters, externally represented as a big data processing center, equipped with complete data analysis tools, this layer supports a wide variety of medical large data application;

[0050] The fog computing layer is composed of network edge devices such as switches and routers in the hospital. On the one hand, it provides network access channels for medical devices and users at the...

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Abstract

The invention discloses a cloud and fog mixed path determination method for medical big data, and mainly solves the problems of high communication load and high task processing time delay of a traditional cloud center type medical big data processing mode. According to the scheme, a medical big data task is constructed into a directed acyclic graph composed of a plurality of subtask nodes with clear input and output relations; through a cloud-fog hybrid network architecture, a fog calculation layer is formed by using network devices such as a switch and a router in a hospital, and medical bigdata task calculation is completed step by step by using calculation power of fog nodes in an end-to-end directional data transmission process; and setting a path calculation mapping rule, mapping thebig data in the directed acyclic graph form to a hospital fog network topological graph, and searching an optimal mapping path for task data. According to the invention, the task processing time delay of the medical big data is effectively reduced, the working efficiency of doctors is ensured, and the method can be used for medical management oriented to the medical big data and early warning ofdiseases.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method for determining a cloud-fog mixed path, which can be used for medical management and early warning of diseases facing medical big data. Background technique [0002] In recent years, with the steady improvement of informatization in the medical and health field in my country, medical big data, with its characteristics of large capacity, high value, rapid growth and diversification, has shown great potential in the fields of epidemic prediction, health management and precise diagnosis and treatment. At the same time, it will greatly promote the improvement of the quality of medical services and the efficiency of doctors' diagnosis. In 2008, Google successfully predicted the outbreak of Influenza A (H1N1) by analyzing search terms and establishing a specific data model. In 2014, the United States developed a smart watch for monitoring epileptic seizures, which can i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04L29/08
CPCH04L41/044H04L41/0823H04L41/12H04L67/025H04L67/12H04L67/1001H04L67/60
Inventor 任智源付振坤程文驰陈晨张海林
Owner XIDIAN UNIV
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