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Edge computing credible cooperative service method based on influence adaptive aggregation

A technology of self-adaptive aggregation and collaborative services, applied in the field of edge computing collaborative services

Active Publication Date: 2020-02-28
JIAXING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Users and computing devices are dynamically unconstrained, and computing devices go online and offline at will, causing a large number of service migrations and causing surge network traffic

Method used

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  • Edge computing credible cooperative service method based on influence adaptive aggregation
  • Edge computing credible cooperative service method based on influence adaptive aggregation
  • Edge computing credible cooperative service method based on influence adaptive aggregation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0083] Take an offshore port as an example to build an edge computing collaborative service system, such as figure 1 shown. The offshore edge computing network is centered on shore-based data centers and shore base stations, and consists of island and reef relay stations, intelligent floating station relay stations, ship nodes, and intelligent mobile nodes;

[0084] All nodes can randomly initiate task migration requests; 1420 network nodes are randomly selected from the RouterView public data set. In order to simulate the real edge environment, the backbone routing network is set to consist of 1 central shore-based base station and 7 relay base stations, 1 source The service initiation node, the network topology is a distributed random topology, and the nodes interact freely;

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PUM

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Abstract

The invention discloses an edge computing trusted collaborative service method based on influence adaptive aggregation. The method is based on load balancing research. Credibility, contribution degree, capacity and bandwidth, link quality and the like of the nodes are used as characteristic attributes for representing the nodes; an edge computing collaborative service system is constructed based on node influence evaluation clustering; through a task-driven approach, a leader node selects the nodes of the cooperative service based on the service capability and similarity of the nodes; simulation experiments show that by constructing the edge computing collaborative service, the problem of node overload provided by the edge computing service can be effectively solved, the purposes of collaborative service, resource sharing and load balancing are achieved, and the service quality of the edge computing collaborative service in an offshore port environment is improved.

Description

technical field [0001] The invention relates to the field of edge computing collaborative services, in particular to an edge computing trusted collaborative service method based on influence adaptive aggregation. Background technique [0002] With the rapid development of cloud computing, big data, the Internet of Things and other technologies and the popularization and application of intelligent mobile devices, the era of the Internet of Everything based on edge computing has opened up. The number of network edge devices and the data they generate are growing rapidly. Applications such as high-definition video, live broadcast, IoT, and VR / AR with large traffic and large connections have become the main business of communication network traffic. In 2020, the total amount of global data will exceed 40ZB, and edge computing will process 45% of the IoT data. According to the Cisco Data Visual Networking Index (VNI), starting in 2016 with more traffic offloading from cellular n...

Claims

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Application Information

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IPC IPC(8): G06F16/21G06F16/27G06K9/62G06N3/00H04L29/08
CPCG06F16/27G06F16/214G06N3/006H04L67/1001G06F18/23
Inventor 乐光学戴亚盛
Owner JIAXING UNIV
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