Content distribution method, system, device and medium of dynamic cloud content distribution network

A content distribution network, content technology, applied in transmission systems, digital transmission systems, data exchange networks, etc.

Active Publication Date: 2021-10-19
SHANDONG NORMAL UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, due to the elasticity and flexibility of the cloud content distribution network, CCDN has a unique network structure. So far, there is no good method that can provide a reasonable solution to the content distribution problem of the dynamic cloud content distribution network.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Content distribution method, system, device and medium of dynamic cloud content distribution network
  • Content distribution method, system, device and medium of dynamic cloud content distribution network
  • Content distribution method, system, device and medium of dynamic cloud content distribution network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] Embodiment 1, this embodiment provides a content distribution method of a dynamic cloud content distribution network;

[0037] Such as figure 1 As shown, the content distribution method of the dynamic cloud content distribution network includes:

[0038] Based on the existing cloud proxy server, build a cloud content distribution network;

[0039] Treat all cloud proxy servers in the cloud content distribution network as nodes, determine the connection relationship between source nodes, relay nodes, destination nodes and nodes; construct a Q table for each node;

[0040] The adaptive routing selection algorithm based on Q-learning selects a path for each destination node to its terminal node; in the process of path selection, each time the next hop node is selected, the Q value in the Q table is updated; According to the principle that the Q value value of the updated Q table is the smallest, select the next hop node, and send the data packet to the next hop node unti...

Embodiment 2

[0094] Embodiment 2, this embodiment also provides a content distribution system of a dynamic cloud content distribution network;

[0095] A content distribution system for a dynamic cloud content distribution network, including:

[0096] Network building module: build a cloud content distribution network based on the existing cloud proxy server;

[0097] Q table building module: regard all cloud proxy servers in the cloud content distribution network as nodes, determine source nodes, relay nodes, destination nodes, and connection relationships between nodes; build Q tables for each node;

[0098] Path selection module: based on the Q-learning adaptive routing selection algorithm, select a path to its terminal node for each destination node; in the process of path selection, each time the next hop node is selected, the Q table will be updated Qvalue value; based on the principle that the Q value value of the updated Q table is the smallest, select the next hop node and send d...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a content distribution method, system, device and medium of a dynamic cloud content distribution network, and constructs a cloud content distribution network based on an existing cloud proxy server; regards all cloud proxy servers in the cloud content distribution network as nodes, and determines Source node, relay node, destination node and the connection relationship between nodes; construct Q table for each node; based on Q-learning adaptive routing selection algorithm, select a route to its termination node for each destination node path; establish a path from the terminal node to the destination node through reverse routing information, and construct an adaptive distribution tree; based on the adaptive distribution tree, the distribution of content is realized. The algorithm propagates local and non-local congestion information through network learning packets. Choose a path with low congestion cost and be able to adapt to the dynamic cloud distribution environment.

Description

technical field [0001] The present disclosure relates to a content distribution method, system, device and medium of a dynamic cloud content distribution network. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] The traditional content delivery network (Content Delivery Network, CDN) deploys a large number of data centers and edge servers to publish network content to the "edge" of the network closest to users, so that users can obtain the required content nearby, and solves the problem of central server network congestion. Condition. However, the traditional CDN system is difficult to expand and the deployment cost is high. With the development of cloud computing, it is allowed to lease resources (such as storage and bandwidth) to build a content distribution network in the cloud. Cloud CDN is widely distributed around the world, many web serv...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08H04L12/753H04L12/721
Inventor 陆佃杰刘玉洁张成铭张桂娟刘弘
Owner SHANDONG NORMAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products