基于SDN框架的网络资源定价策略

诸葛斌; 亓一航; 傅晗文; 王伟明

doi:10.11959/j.issn.1000-0801.2018173

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基于SDN框架的网络资源定价策略

研究与开发 | 更新时间：2024-06-05

- 基于SDN框架的网络资源定价策略
- Network resource pricing strategy based on SDN framework
- 电信科学 2018年34卷第7期页码：49-61
- 作者机构：
- 作者简介：
  
  [ "诸葛斌（1976-），男，博士，浙江工商大学信息与电子工程学院副院长、教授，主要研究方向为网络与通信技术、互联网技术和网络安全。" ]
  [ "亓一航（1993-），男，浙江工商大学硕士生，主要研究方向为软件定义网络和未来网络体系结构。" ]
  [ "傅晗文（1992-），男，浙江工商大学硕士生，主要研究方向为软件定义网络和未来网络体系结构。" ]
  [ "王伟明（1964-），男，博士，浙江工商大学网络与通信工程研究所所长、教授，主要研究方向为新一代网络体系结构、开放可编程网络。" ]
- 基金信息：
  
  国家重点基础研究发展计划（“973”计划）基金资助项目;The National Basic Research Program of China (973 Program)(2012CB315902);浙江省新型网络标准与应用技术重点实验室项目(2013E10012);浙江省重点研发计划项目;Zhejiang Province Key Research and Development Program(2017C03058)
- DOI：10.11959/j.issn.1000-0801.2018173
  中图分类号： TP393
- 网络出版日期：2018-07，
  
  纸质出版日期：2018-07-20
- 稿件说明：
移动端阅览
诸葛斌, 亓一航, 傅晗文, 等. 基于SDN框架的网络资源定价策略[J]. 电信科学, 2018,34(7):49-61.

Bin ZHUGE, Yihang QI, Hanwen FU, et al. Network resource pricing strategy based on SDN framework[J]. Telecommunications science, 2018, 34(7): 49-61.
诸葛斌, 亓一航, 傅晗文, 等. 基于SDN框架的网络资源定价策略[J]. 电信科学, 2018,34(7):49-61. DOI： 10.11959/j.issn.1000-0801.2018173.

Bin ZHUGE, Yihang QI, Hanwen FU, et al. Network resource pricing strategy based on SDN framework[J]. Telecommunications science, 2018, 34(7): 49-61. DOI： 10.11959/j.issn.1000-0801.2018173.

摘要

针对网络中用户集中提出资源请求所造成资源负载过重和网络拥塞的问题，提出一种基于SDN架构的网络资源定价策略。首先，分析用户的需求和消费模式，确定资源交易模型。其次，结合现货消费模式和计划消费确定预约机制下资源动态定价策略模型。最后，根据所提出的资源定价策略，对资源价格进行实例仿真，结果表明，通过价格刺激用户提前预约资源，结合每个用户的信任度与消费习惯给出相应的优惠价格，可以有效地避免用户集中获取网络资源。

Abstract

A network resource pricing strategy based on SDN framework was proposed to solve the problem of resource overload and network congestion caused by resource requests in the network.Firstly

the user’s needs and consumption patterns were analyzed

and the resource transaction model was determined.Secondly

combined with the spot consumption model and plan consumption

the reservation mechanism under the resource dynamic pricing strategy model was determined.Finally

according to the proposed resource pricing strategy

the resource price was simulated

the results show that by stimulating the user to reserve resources in advance and combining the trust degree and consumption habits of each user with corresponding preferential prices

it is possible to effectively avoid the users from obtaining network resources in a centralized manner.

关键词

Keywords

references

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