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Placement method of virtual network function based on genetic algorithm

A virtual network function and genetic algorithm technology, applied in the field of virtual network function placement, can solve the problems of unfavorable flexible arrangement and high link utilization rate, so as to reduce capital investment and operation investment, improve utilization rate, good reliability and manageability effect

Active Publication Date: 2018-07-24
POWER DISPATCHING CONTROL CENT OF GUANGDONG POWER GRID CO LTD +1
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  • Application Information

AI Technical Summary

Problems solved by technology

This can cause high link utilization
At the same time, the deployment source node and destination node of SFC are limited to a fixed domain, which is not conducive to its flexible arrangement

Method used

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  • Placement method of virtual network function based on genetic algorithm
  • Placement method of virtual network function based on genetic algorithm
  • Placement method of virtual network function based on genetic algorithm

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Embodiment Construction

[0047] Such as figure 2 , image 3 As shown, a simplified physical underlying undirected network can be represented by a graph G=(N, L). It is composed of a physical node set N and a physical link set L. All nodes have certain computing resources, which can realize the deployment and instantiation of VNF. The link has a certain amount of bandwidth resources in order to realize data forwarding. A SFC request is represented by a graph S=(F, E), and it is composed of a set F of virtual nodes (ie, VNF) and a set E of directed virtual links. Certain requested resources are set on the nodes and links requested by the SFC. When these virtual network elements are deployed on a physical network, a certain amount of physical resources (computing resources or bandwidth resources) of the physical components will be consumed.

[0048] by figure 2 , image 3 Take the model of NFV as an example to illustrate the deployment of SFC under the NFV architecture, as shown in Figure 4 As...

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Abstract

The invention relates to the field of communication, and more particularly relates to a placement method of a virtual network function based on a genetic algorithm. The method comprises the followingsteps: S1, querying a system cache to judge whether a deployment result of a current type of SFC request exists, and if yes, skipping to step S4; if not, skipping to step S2; S2, sequentially selecting physical nodes and instances to be placed for a VNF in a service chain in combination with the calculation steps of the genetic algorithm; S3, mapping a virtual link of the SFC according to the VNFplacement situation obtained in step S2 to guide sequential transmission of data traffic; and S4, allocating requested physical resources to the SFC according to the deployment result. In the placement method provided by the invention, the resource relationship between the deployed VNF instances and the actually running VNF is clarified, and the count of VNF instantiation is limited to simulate the limited resources owned by an virtual network operator; and the processing of the SFC request is implemented by using as few VNF instances as possible, thereby prompting the rational use of the underlying physical resources of the entire network, and reducing the cost.

Description

technical field [0001] The invention relates to the communication field, and more specifically, to a genetic algorithm-based virtual network function placement method. Background technique [0002] Existing Network Functions Virtualization (NFV, Network Functions Virtualization) is an important new network technology. Based on virtualization technology, this technology decouples network service functions from dedicated physical devices, and flexibly deploys them on commercial general-purpose devices in the form of software, so as to dynamically process user service requests. These virtualized network functions are called virtual network functions (VirtualNetwork Functions). Under the design paradigm of the NFV network, a certain network service implementation method is a service function chain (ServiceFunctionChains). It is composed of a series of VNFs in an orderly manner, and processing user service requests means realizing efficient and reasonable deployment of SFC in t...

Claims

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Application Information

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IPC IPC(8): H04L12/24
CPCH04L41/142H04L41/145
Inventor 曾瑛施展李溢杰亢中苗李星南苏卓蔺鹏
Owner POWER DISPATCHING CONTROL CENT OF GUANGDONG POWER GRID CO LTD
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