SDN network resource pricing method based on multi-ownership combinatorial double auction

Abstract

The invention discloses an SDN resource pricing method based on multi-ownership combinatorial double auction. The method comprises the following steps that the parameters of various variables of service chains and resources of an SDN resource system are determined, and resource proxies decompose multi-ownership service chains transmitted by nodes into buying and selling type service chains; the nodes meeting market benefit maximization are solved, and the resource proxies arrange different types of nodes in corresponding sequence tables; an average pricing matrix of transaction is obtained through ordering; a transaction price matrix QUOTE<TT> under the SDN environment is calculated by using a K-pricing scheme; the transaction process is determined, and pricing of the resources is performed according to the relationship between supply and demand of the resources; and total cost and revenue in buying or selling the resources can be obtained. The method is more suitable for the SDN environment and can alleviate problems faced by the SDN resources by utilizing the multi-ownership of a combinatorial double auction model and an SDN resource transaction market.

Description

technical field [0001] The invention belongs to the field of SDN networks, and in particular relates to an SDN resource pricing method based on multi-homing combined bidirectional auction. Background technique [0002] At the beginning of the 21st century, Grid Computing introduced resource scheduling strategies into computer networks. Grid computing is also known as distributed computing, which means dividing a problem that requires a huge computing power into multiple small calculations, and then assigning these small calculations to different computers for processing, and finally The process of summarizing the results of these calculations to arrive at the final result. There are three main scheduling strategies in grid computing: 1) Application-oriented scheduling strategies, most of which adopt this strategy (the method in Login), and the impact of this strategy on the entire system is not considered. 2) System-oriented scheduling strategy, to determine the feasibilit...

AI Technical Summary

Problems solved by technology

If the combined two-way auction model is applied to other networks (mainly including traditional network environments, grid computing environments and cloud computing environments), a series of problems of the network will be reproduced in this combined two-way auction, not only can not reach the resources The effect of optimization and saving will further increase the burden on the network

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