Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Whale optimization algorithm-based multicast routing optimization method and application of whale optimization algorithm-based multicast routing optimization method to Spark platform

An optimization method and whale technology, applied in the field of computer networks, can solve problems such as slow convergence speed and complex multicast routing optimization process.

Active Publication Date: 2018-04-13
SOUTHWEST JIAOTONG UNIV
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a multicast routing optimization method based on the Whale Algorithm, to solve the problems of complex multicast routing optimization process and slow convergence speed in the prior art

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
  • Whale optimization algorithm-based multicast routing optimization method and application of whale optimization algorithm-based multicast routing optimization method to Spark platform
  • Whale optimization algorithm-based multicast routing optimization method and application of whale optimization algorithm-based multicast routing optimization method to Spark platform
  • Whale optimization algorithm-based multicast routing optimization method and application of whale optimization algorithm-based multicast routing optimization method to Spark platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0173] Such as image 3 As shown, the shown network topology has a total of 20 nodes, the node numbers are 0-19, a total of 49 edges, the edge numbers are 0-48 (not shown), and each edge has a corresponding cost value (not shown ), randomly generated within (0,50).

[0174] It is assumed that the source node S of the multicast is 4, and the destination node set D={7, 13, 17}.

[0175] Suppose the whale population scale M=100, according to the step (2) in the multicast routing optimization method based on the above-mentioned whale algorithm to initialize all whale individuals, the position information of each whale is a binary array whose length is 49 (by edge coding), Each bit is 0 or 1, such as [0,1,1,0,1,...,1,0], and the initial fitness value of each whale is 999999.0. Create a globally optimal whale individual gbest outside the population, and its initialization method is described in step (2). Initialize the maximum number of iterations MAX_T=200, and the current numbe...

Embodiment 2

[0242] Embodiment 2, Embodiment 4, and Embodiment 6 all adopt the application of the multicast routing optimization method based on the whale algorithm in the stand-alone environment in the present invention, which is hereinafter referred to as MWOA.

Embodiment 3

[0243] Embodiment 3, Embodiment 5, and Embodiment 7 all adopt the application of the multicast routing optimization method based on the whale algorithm in the present invention on the Spark platform, and the method is hereinafter referred to as PMWOA for short.

[0244] Scenario 1: The number of network topology nodes is 100, the number of edges is 280, the multicast source node is 5, and the multicast destination node set {14, 23, 36, 47, 55, 67, 81, 92, 79}.

[0245] Scenario 2: The number of network topology nodes is 150, the number of edges is 370, the multicast source node is 27, and the multicast destination node set is {33,9,18,67,112,99,137,65,127,141,49,77}.

[0246] Scenario 3: The number of network topology nodes is 200, the number of edges is 542, the multicast source node is 121, and the multicast destination node set {191,7,29,43,167,143,128,97,73,62,14,34,157,108,59,88,111,136}.

[0247] Set the population size as 500 and the number of iterations as 200. Among ...

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 whale optimization algorithm-based multicast routing optimization method and application of the whale optimization algorithm-based multicast routing optimization method to aSpark platform. According to the method, as for a specific multicast routing optimization problem, improvements are made on a whale optimization algorithm, so that the whale optimization algorithm canbe applied to solving the multicast routing optimization problem; the whale optimization algorithm that optimizes continuous problems is mapped to a discrete search space through the binary codes ofposition information, and the ideas of algorithms such as individual crossover, mutation, and taste concentration are introduced into a position update strategy, so that the method can be more suitable for solving the multicast routing problem; and therefore, the optimization process of multicast routing can be simplified, convergence speed can be increased. The invention also discloses the application of the whale optimization algorithm-based multicast routing optimization method to the Spark platform, and therefore, the parallelization of the whale optimization algorithm-based multicast routing optimization method can be realized on the Spark platform, and the execution speed of the algorithm is greatly accelerated.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to a multicast routing optimization method based on the whale algorithm and its application on the Spark platform. Background technique [0002] In today's rapidly developing Internet field, various novel Internet applications emerge in an endless stream, such as online media, remote conferences, and online games. Most of these interconnected applications require high network resources and short response time, and the data sent by the sender has a lot of repetition. The traditional "one-to-one" transmission cannot meet the real-time and high bandwidth requirements of network applications. The emergence of multicast technology has solved this problem very well. The main feature of multicast is that the sender of the service and multiple receivers build a multicast tree. The sender only needs to send a data packet, and each branch node of the multicast tree copies the data ...

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 Applications(China)
IPC IPC(8): H04L12/753H04L12/761H04L12/721H04L12/751H04L45/02H04L45/16
CPCH04L45/02H04L45/12H04L45/16H04L45/48
Inventor 邢焕来周芯宇杨慧李可叶佳
Owner SOUTHWEST JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com