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Data collaborative transmission method considering priority and fairness in edge computing network

An edge computing and data collaboration technology, applied in the field of data transmission, can solve the problems of single factors considered in data transmission, the inability to take into account the average delay, energy consumption, network throughput and transmission success rate, etc., to ensure the transmission success rate, Improve the sending efficiency and success rate, reduce the effect of energy consumption

Active Publication Date: 2020-05-19
NORTHWEST UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide an edge computing network that considers both priority and fairness in view of the fact that the factors considered in data transmission are too single to take into account the average delay, energy consumption, network throughput and transmission success rate. cooperative transfer method

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  • Data collaborative transmission method considering priority and fairness in edge computing network
  • Data collaborative transmission method considering priority and fairness in edge computing network
  • Data collaborative transmission method considering priority and fairness in edge computing network

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Embodiment Construction

[0054] Edge computing networks are faced with high levels of quality of service (QoS) and service experience (QoE), ensuring high throughput for edge computing has always been a potential problem. The traditional transmission strategy considers too many factors, and cannot take into account multiple performance requirements of delay, throughput, and access success rate. Most solutions are based on the order of node priority, without taking into account the delay requirements of real-time data and the total throughput of the system. In the existing technology, the method of using a transit node is selected to improve the access success rate. However, most of the methods for selecting a transit node are based on single factors such as energy or the distance from the edge server, and only one is selected for the entire network. Transit node, all nodes are connected to the edge server through this node, this strategy can save the total energy consumption and access success rate of...

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Abstract

The invention discloses a data collaborative transmission method in an edge computing network that takes priority and fairness into consideration. The method comprehensively considers the transmission time limit of data streams, the communication quality of wireless channels, the bandwidth limit of the system, and the priority of data streams. The goal is to meet the time limit of data flow, find the best transit node for nodes with low communication quality, allocate as much bandwidth as possible for high-priority data flow, reserve bandwidth for low-priority data flow, coordinate multiple Edge computing nodes ensure the priority and fairness of data flow. The method can improve the success rate of data transmission and system throughput, and can reduce system energy consumption and transmission delay. The method of the invention provides a new transmission method and a specific scheme for terminal nodes in the edge computing network to send data to the edge computing server. Using the method proposed by the invention, the system has obvious advantages in terms of throughput, transmission success rate, average time delay and energy consumption.

Description

technical field [0001] The invention relates to the technical field of data transmission, in particular to a data cooperative transmission method in an edge computing network that takes priority and fairness into account. Background technique [0002] As the concept of the Internet of Things is widely applied to many fields such as medical care, family, environment, and transmission, a large amount of raw data is generated at the edge of the network, and the amount of data is growing rapidly. Faced with the calculation and storage of massive data, network bandwidth resources are tight, and competition for bandwidth among devices is intensifying. Cloud computing has been overwhelmed, and edge computing was born. Edge computing refers to an open platform that integrates network, computing, storage, and application core capabilities on the edge of the network close to the source of objects or data, and provides edge intelligent services nearby. [0003] Although edge computing...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08
CPCH04L67/56H04L67/60H04L67/61
Inventor 尹小燕贾茹昭胡潇王倩倩王薇牛进平陈峰刘宝英陈晓江房鼎益
Owner NORTHWEST UNIV
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