Particle-swam-optimization-based virtual network mapping method and system

A technology of virtual network mapping and particle swarm optimization, which is applied in the field of computer networks, can solve the problems of no given mapping algorithm, large time overhead of mapping algorithm, and uncertain mapping scheme, so as to improve resource utilization efficiency, wide application, and balance the best The effect of optimization degree and time complexity

Inactive Publication Date: 2012-02-29
BEIJING UNIV OF POSTS & TELECOMM
View PDF2 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Due to the complexity of the virtual network mapping problem, early research on the virtual network mapping problem has limited the problem to varying degrees: assuming that all virtual network requests are known; ignoring the resources of virtual network nodes or links Requirements; assume that the underlying network has sufficient resources, regardless of the admission control of virtual network requests; only focus on virtual network requests with special topology, such as virtual network requests in star topology; ignore the location requirements of virtual network nodes
Considering the above-mentioned aspects comprehensively, in the existing virtu

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
  • Particle-swam-optimization-based virtual network mapping method and system
  • Particle-swam-optimization-based virtual network mapping method and system
  • Particle-swam-optimization-based virtual network mapping method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] First, a brief introduction to the concepts involved in the field of virtual network mapping.

[0042] Underlying network: The underlying network topology can be marked as a weighted undirected graph where N s Represents the collection of underlying network nodes, L s Represents a collection of underlying network links. and Respectively represent the underlying node n s (n s ∈ N s ) and l s (l s ∈ L s ) has a set of properties. bottom node n s The attribute is the currently available computing power of the node CPU(n s ) and physical location Loc(n s ); bottom link l s The attribute it has is the bandwidth resource BW(l s ).

[0043] Virtual network request: Similar to the underlying network, the virtual network topology can also be marked as a weighted undirected graph where N v is the set of virtual nodes, Lv is a collection of virtual links, and Respectively represent the virtual node n v (n v ∈N v ) and virtual link l v (l v ∈ L v ) re...

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 provides a particle-swarm-optimization-based virtual network mapping method and a particle-swarm-optimization-based virtual network mapping system. The method comprises the following steps of: initializing position and speed parameters of particles; performing feasibility checking on the particles to obtain feasible particles, and determining an initial global optimal position and individual optimal positions of each particle; performing speed and position updating on the feasible particles, performing the feasibility checking on the updated particles to obtain feasible particles again, determining a global optimal position and individual optimal positions again, adding 1 to a current number of iterations, and repeating the operations of the step when the number of iterations is less than a maximum number of iterations; and when the number of iterations is equal to the maximum number of iterations, outputting the finally determined global optimal position as a mapping scheme. By the method and the system, the position and speed parameters of a particle swarm are initialized under the condition that a bottom-layer network does not support path splitting, and the particles are iterated to select an optimal virtual network mapping scheme, so the resource utilization efficiency of the bottom-layer network is improved.

Description

technical field [0001] The present invention relates to the field of computer networks, in particular to a virtual network mapping method and system based on particle swarm optimization (Particle Swarm Optimization, PSO). Background technique [0002] Network virtualization technology allows multiple heterogeneous virtual networks to coexist on the shared underlying physical network infrastructure, making it possible to deploy new network architectures, protocols, and applications without affecting existing networks, thereby effectively Network technology innovation. [0003] In a network virtualization environment, infrastructure providers manage and operate the underlying network, and service providers can lease network resources from infrastructure providers and create virtual networks to provide personalized end-to-end network services. The problem of allocating the underlying network resources of the infrastructure provider for the service provider's virtual network wi...

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
IPC IPC(8): H04L12/46
Inventor 双锴苏森张忠宝程祥徐鹏王玉龙于晓燕
Owner BEIJING UNIV OF POSTS & TELECOMM
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