Service function chain reliable deployment method based on deep reinforcement learning

A technology of service function chain and reinforcement learning, which is applied in the field of reliable deployment of service function chain based on deep reinforcement learning, can solve the problems of reducing complexity, easily falling into local optimal solution, and reliability description model is no longer accurate. The effect of recovery probability and overall cost reduction

Active Publication Date: 2020-05-12
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

Therefore, the existing reliability description model is no longer accurate
Secondly, the existing schemes based on reliability mapping simply meet the overall reliability requirements, while ignoring the different losses caused by the failure of different virtual network functions. How to give each virtual

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  • Service function chain reliable deployment method based on deep reinforcement learning
  • Service function chain reliable deployment method based on deep reinforcement learning
  • Service function chain reliable deployment method based on deep reinforcement learning

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Embodiment Construction

[0070] The technical solutions in the embodiments of the present invention will be described clearly and in detail below in conjunction with the accompanying drawings in the present invention.

[0071] figure 1 For the frame diagram of the application environment in the present invention, see figure 1 , which is a basic model for providing end-to-end services in a network virtualization environment. The framework is a network virtualization architecture based on NFV orchestration and control framework. The end-to-end service function chain starts from the terminal equipment, passes through the access network and the core network, and deploys VNFs in an orderly manner to meet the corresponding business requirements. The virtual subnet composed of service function chains is constructed and managed by the service provider (SP). The infrastructure provider (InP) is responsible for the construction, operation and maintenance of basic physical facilities, and provides reliable res...

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Abstract

The invention relates to a service function chain reliable deployment method based on deep reinforcement learning, and belongs to the technical field of communication. The method comprises the following steps: S1, obtaining a reliability value based on the reliability measurement mode of the equipment use degree and the peripheral safety coefficient; S2, preliminarily determining a reliability demand of each virtual network function through the functional characteristics and the topological characteristics; S3, obtaining the deployable length of the link reliability requirement meeting the virtual link reliability requirement; S4, searching an optimal mapping scheme suitable for the virtual network environment and the base environment by using deep reinforcement learning based on each reliability demand; and S5, if the VNF reliability cannot be satisfied in the mapping process, using an importance-based node backup method, and if the link deployment result does not satisfy the link reliability, using a link backup importance-based link backup method. The method can effectively deal with basic faults on the basis of ensuring reliability requirements, reduces the number of failure SFC, and ensures load balance to make the whole virtual network more stable and reliable.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a reliable deployment method of a service function chain based on deep reinforcement learning. Background technique [0002] With the rise of cloud computing, big data and other technologies, people are increasingly using the Internet for work, shopping, video and other activities in their daily lives. While these technologies bring convenience to people, they also impose more requirements on network performance and architecture. The traditional network structure lacks flexibility and needs to deploy a series of dedicated hardware devices to provide services. As a result, each network function forms a strict and rigid network function chain. Its defect is reflected in the fixed position of the network topology and service provider components. To modify the network function chain means modifying the network topology or changing the connection of the middle box. When providin...

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Application Information

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IPC IPC(8): H04L12/24H04L1/22
CPCH04L41/14H04L1/22
Inventor 唐伦曹睿贺兰钦管令进胡彦娟陈前斌
Owner CHONGQING UNIV OF POSTS & TELECOMM
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