期刊文献+

基于多归属组合双向拍卖的SDN资源价格协商算法研究 被引量:3

SDN Resources Price Negotiation Algorithm Based on Multi-Homing Combinatorial Double Auction Model
下载PDF
导出
摘要 软件定义网络(SDN)作为一种新型的网络体系架构,打破了传统网络的封闭模式,实现了控制与转发分离,可以有效地解决当前互联网的一系列问题。为了实现SDN网络资源的合理分配,该文提出利用经济学原理来抑制SDN网络资源的浪费。根据当前业界流行的拍卖模型的特性,提出一种适用于SDN环境下的价格协商算法,即多归属组合双向拍卖模型(MCDAM)算法,解决了资源买卖双方交易价格是否合理的问题,达到以价格为杠杆实现SDN资源的合理分配的目的,并通过仿真实验证明了该算法的优越性以及可行性。 As a new type of network architecture, software defined network (SDN) breaks the closed mode of traditional network, realizes the separation between forwarding and control, and therefore can effectively solve a series of problems of the current Internet. Taking advantage of economic principles and according to the characteristics of the traditional auction model, we propose a price negotiation algorithm, namely multi-homing combinatorial double auction model (MCDAM) algorithm, to curb the waste of SDN resources. MCDAM can solve the problem of reasonable transaction price between the buyers and sellers, make the price as a lever to achieve the purpose of SDN resources reasonable allocation. Simulation results illustrate the superiority and feasibility of the proposed algorithm.
出处 《电子科技大学学报》 EI CAS CSCD 北大核心 2017年第4期591-599,共9页 Journal of University of Electronic Science and Technology of China
基金 国家自然科学基金(61402408 61379120) 国家863项目(2015AA011901) 国家973项目(2012CB315902)
关键词 拍卖模型 多归属 网络资源 价格协商 SDN auction model multi-homing network resources price negotiation SDN
  • 相关文献

参考文献9

二级参考文献109

  • 1鲁耀斌,张金隆,黎志成.拍卖过程中最优保留值设置的研究[J].管理工程学报,1999,13(1):47-48. 被引量:8
  • 2丁箐,陈国良,单九龙,何家华.一个基于证券市场的计算网格环境下的资源分配模型[J].小型微型计算机系统,2003,24(1):14-16. 被引量:5
  • 3翁楚良,陆鑫达.一种基于双向拍卖机制的计算网格资源分配方法[J].计算机学报,2006,29(6):1004-1008. 被引量:37
  • 4伍之昂,罗军舟,宋爱波.基于QoS的网格资源管理[J].软件学报,2006,17(11):2264-2276. 被引量:21
  • 5鲁耀斌,张金隆,黎志成,蔡淑琴.两物品拍卖中的多人投标决策问题的研究[J].华中理工大学学报,1996,24(11):82-84. 被引量:6
  • 6Yang Jin, Yang Shoubao, Li Maosheng, Fu Qianfei. An autonomous pricing strategy toward market economy in computational grids[ A]. In Proc. of the Int Conf on Information Technology: Coding and Computing [ C ]. Nevada: IEEE Press, 2005.793 - 794.
  • 7P Ghosh, N Roy, S K Das, K Basu. A pricing strategy for job allocation in mobile grids using a non-cooperative bargaining theory framework[J]. Journal of Parallel and Distributed Computing,2005,65( 11 ) : 1366- 1383.
  • 8M Schwind, O Gujo, T Stockheim. Dynamic resource prices in a combinatorial grid system[ A]. In Proc. of the 8th IEEE Int Conf on E-Commerce Technology and 3rd IEEE. Int Conf on ENTERPRISE Computing, E-Commerce, and E-Services [C ]. California: IEEE Press,2006.49- 54.
  • 9Zhao Xiangang, Xu Liutong, Wang Bai,A dynamic price model with demand prediction and task classification in gdd[ A ]. In Proc. of the 6th Int Conf on Grid and Cooperative Computing [ C]. Urumchi: IEEE Press,2007.775 - 782.
  • 10A Das,D Grosu. Combinatorial auction-based protocols for source allocation in grids [ A ]. In Proc. of the 19th IEEE Int Parallel and Distributed Processing Symposium[ C ]. Colorado: IEEE. Press, 2005.23 - 30.

共引文献263

同被引文献37

引证文献3

二级引证文献32

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部