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基于兩階段混合拍賣的虛擬網(wǎng)絡(luò)資源分配模型

發(fā)布時(shí)間:2019-04-02 09:07
【摘要】:網(wǎng)絡(luò)虛擬化技術(shù)作為解決當(dāng)前網(wǎng)絡(luò)問題的有效手段,仍有很多方面有待提高。針對(duì)虛擬網(wǎng)絡(luò)資源分配方法在分配效率和最大化資源價(jià)值存在的問題,提出基于兩階段混合拍賣(two-stages hybrid auction,T-SHA)的虛擬網(wǎng)絡(luò)資源分配模型,即第一階段采用向上叫價(jià)式拍賣以及第二階段采取第一價(jià)格密封拍賣的方式。隨后結(jié)合獨(dú)立私有價(jià)值模型,對(duì)混合拍賣的收益、有效性和公平性作了理論上的推導(dǎo)。最后由實(shí)驗(yàn)得出結(jié)果并推出結(jié)論:T-SHA、先到先服務(wù)的公平性指數(shù)和資源利用率分別為0.58和0.9、0.5和0.78,T-SHA更有助于提升用戶之間的公平性。向上叫價(jià)拍賣、T-SHA、VCG(Vickrey-Clarke-Groves)的SP參與率分別為0.7、0.93、0.83,T-SHA可以吸引SP(service provider)的參與,從而增加拍賣的激烈程度,提高最終的成交價(jià)。
[Abstract]:Network virtualization technology as an effective means to solve the current network problems, there are still many aspects to be improved. In order to solve the problem of allocation efficiency and maximization of resource value in virtual network resource allocation method, a virtual network resource allocation model based on two-stage hybrid auction (two-stages hybrid auction,T-SHA) is proposed. That is, the first stage adopts the upward auction and the second stage adopts the first price sealed auction. Then, based on the independent private value model, the income, efficiency and fairness of hybrid auction are deduced theoretically. Finally, the results of the experiment and the conclusion are as follows: first-come-first-service fairness index and resource utilization ratio are 0.58 and 0.9, 0.5 and 0.78, respectively, which is more helpful to improve the fairness among users. The participation rates of SP for up-bid auction and Vickrey-Clarke-Groves were 0.7,0.93 and 0.83, respectively. Tusha could attract the participation of SP (service provider), thus increasing the intensity of auction and raising the final price of the auction. The participation rate of TCG (VCG) was 0.7,0.93 and 0.83 respectively, which could increase the intensity of the auction and increase the final price.
【作者單位】: 南京郵電大學(xué)通信與信息工程學(xué)院;南京郵電大學(xué)寬帶無線通信與傳感網(wǎng)技術(shù)教育部重點(diǎn)實(shí)驗(yàn)室;
【基金】:國家自然科學(xué)基金資助項(xiàng)目(702710456)
【分類號(hào)】:TP393.01

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10 David P.Chernicoff ,張,

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