Q learning-based energy-saving routing method for SDN network

A routing and network technology, applied in the field of energy-saving routing based on Q-learning for SDN networks, it can solve the problems of inability to process routing in real time, and the amount of calculation is large, and achieve the effect of balancing algorithm overhead, balancing network energy efficiency, and low energy consumption

Active Publication Date: 2020-02-07
CHONGQING UNIV OF POSTS & TELECOMM
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods are too computationally intensive to deal with real-time routing problems

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
  • Q learning-based energy-saving routing method for SDN network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0022] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...

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 relates to a Q learning-based energy-saving routing method for an SDN network, and belongs to the technical field of network energy saving. The core method comprises the following steps:counting network flow requirements at the current moment, and storing the network flow information into a task queue according to difference of a source node and a target node; constructing a Q tablefor each target node of the network flow and initializing the Q table; taking elements out of the queue, inputting corresponding Q tables according to different destination nodes, outputting the nexthop node position, obtaining awards, and updating the Q tables; repeatedly iterating and updating the Q table; and processing the network flow demand by using the trained Q table. The method is characterized in that the SDN controller directly provides a routing path for each network flow, and dynamically adjusts the on-off states of the router and the link, so that the network achieves the optimal energy efficiency under the condition of meeting the flow demand.

Description

technical field [0001] The invention belongs to the technical field of network energy saving, and relates to an energy-saving routing method based on Q-learning for SDN networks. Background technique [0002] With the development of cloud computing technology, not only the network scale has shown explosive growth, but also the network data has continued to grow, resulting in a sharp increase in data center energy consumption. In addition, in order to meet service requirements and provide high-performance and high-reliability routing, most new data centers use rich network topologies such as Fat-Tree, BCube, etc., which will introduce many switching devices. This method makes the network performance better, but brings a lot of network energy consumption. The modem large-scale data center network has millions of servers and bandwidth-intensive features, and it is difficult for traditional networks to achieve flexible network resource scheduling requirements. Therefore, SDN (...

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): H04L12/733H04L12/751H04L12/801H04L45/122H04L45/02
CPCH04L45/02H04L45/08H04L45/20H04L47/29H04L47/12Y02D30/70
Inventor 龙恳吴翰蒋明均李伟
Owner CHONGQING 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap