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SDN resource pricing method based on resource load and user demands

A technology based on user needs and users. It is applied in data exchange details, digital transmission systems, electrical components, etc. It can solve problems such as resource shortage, unbalanced resource use, and Qos decline, and achieve the effect of reasonable distribution.

Inactive Publication Date: 2017-07-28
ZHEJIANG GONGSHANG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The SDN-based network resource pricing strategy mainly addresses the following two issues: 1) In the current network environment, when network resources are used at peak times, a large number of users access limited network resources, which will inevitably lead to a shortage of some resources
This can easily lead to unbalanced use of resources, and the high load of high-quality resources will lead to a decrease in QoS; the utilization rate of secondary resources is too low, resulting in waste of idle resources

Method used

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  • SDN resource pricing method based on resource load and user demands
  • SDN resource pricing method based on resource load and user demands
  • SDN resource pricing method based on resource load and user demands

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0130] For the PTMQDC model, use the historical transaction records of all network resource users, and take the data set samples shown in Table 2 for simulation.

[0131] Table 2 Sample dataset

[0132]

[0133]

[0134] In order to simplify the simulation process, 1000 groups of randomly generated user data are used to analyze the users, and the data is first imported to obtain the data information shown in Table 2.

[0135] The initial data mainly includes the data attributes contained in the data table, the data type, whether it is numerical data or categorical data, and the data quantity of each attribute, etc.

[0136] Use WEKA's clustering tool to select the K-Means algorithm. When the selected numCluster is 8, the users are clustered into 8 categories, as shown in (b)

[0137] image 3 Output the result. It can be seen that the first cluster includes 312 people, accounting for 31% of the total users, the second cluster includes 158 people, accounting for 16%, t...

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Abstract

The invention discloses an SDN resource pricing method based on resource load and user demands. The method specifically comprises the following steps: clustering and segmenting a user according to user demands and a user consumption model in an SDN resource transaction process so as to determine a user type; computing a probability parameter that a user cancels the reservation if the user adopts the planned consumption; computing a handling charge rate collected by a resource provider, establishing a price model and determining a reservation discount price of the planned transaction; computing the current resource load condition if the user adopts the spot consumption, computing the resource initial price by combining the user demands, and determining the final exact price through an auction model. By use of the SDN resource pricing method disclosed by the invention, the user is stimulated to reserve the resource in advance through the price, and a corresponding preferential price is provided for each user in combination with the credibility and the consumption habit, thereby effectively avoiding the problems of overcharge resource load and network congestion caused by a condition that the users propose the resource requests together; the reasonable allocation of the resource is realized, and the normal operation of each meta-service or meta-business can be guaranteed all the time.

Description

technical field [0001] The invention belongs to the field of SDN resource scheduling, in particular to a method for pricing SDN resources based on resource load and user demand Background technique [0002] With the development of networks all over the world, different network applications require different service providers, and more stringent requirements are placed on the network price system. At the same time, in the context of the continuous development of the network, the research on the optimal allocation of resources has been given a new meaning. Therefore, research adopting a more reasonable price mechanism and system, highlighting the value of network resources, improving resource utilization, reducing resource waste, and providing a basis for network market operation is a hot topic that the current academic circles have been pursuing. Aiming at this series of problems, it is necessary to study a new network service pricing model. On the one hand, it must allocate...

Claims

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Application Information

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IPC IPC(8): H04L12/927H04L12/14H04L47/80
CPCH04L12/1407H04L47/80H04L47/83
Inventor 诸葛斌傅晗文彭丹王伟明
Owner ZHEJIANG GONGSHANG UNIVERSITY
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