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基于在線雙向拍賣的虛擬網(wǎng)絡(luò)切片資源調(diào)度機制

陳前斌,  施穎潔,  楊希希,  唐倫

陳前斌, 施穎潔, 楊希希, 唐倫. 基于在線雙向拍賣的虛擬網(wǎng)絡(luò)切片資源調(diào)度機制[J]. 電子與信息學報, 2018, 40(7): 1738-1744. doi: 10.11999/JEIT170902
引用本文: 陳前斌, 施穎潔, 楊希希, 唐倫. 基于在線雙向拍賣的虛擬網(wǎng)絡(luò)切片資源調(diào)度機制[J]. 電子與信息學報, 2018, 40(7): 1738-1744. doi: 10.11999/JEIT170902
CHEN Qianbin, SHI Yingjie, YANG Xixi, TANG Lun. Resource Scheduling Mechanism for Virtual Network Slice Based on Online Double Auction[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1738-1744. doi: 10.11999/JEIT170902
Citation: CHEN Qianbin, SHI Yingjie, YANG Xixi, TANG Lun. Resource Scheduling Mechanism for Virtual Network Slice Based on Online Double Auction[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1738-1744. doi: 10.11999/JEIT170902

基于在線雙向拍賣的虛擬網(wǎng)絡(luò)切片資源調(diào)度機制

doi: 10.11999/JEIT170902 cstr: 32379.14.JEIT170902

  • (重慶郵電大學移動通信技術(shù)重點實驗室 重慶 400065)

基金項目: 

國家自然科學基金(61571073)

詳細信息
    作者簡介:

    陳前斌： 男，1967年生，教授，博士生導師，主要研究方向為個人通信、下一代移動通信網(wǎng)絡(luò)、異構(gòu)蜂窩網(wǎng)絡(luò)等. 施穎潔： 女，1993年生，碩士生，研究方向為虛擬資源分配. 楊希希： 女，1992年生，碩士生，研究方向為網(wǎng)絡(luò)虛擬化. 唐 倫： 男，1973年生，教授，研究方向為新一代無線通信網(wǎng)絡(luò)、異構(gòu)蜂窩網(wǎng)絡(luò)、軟件定義無線網(wǎng)絡(luò)等.

  • 中圖分類號: TN929.5

Resource Scheduling Mechanism for Virtual Network Slice Based on Online Double Auction

  • CHEN Qianbin    SHI Yingjie    YANG Xixi    TANG Lun

Funds: 

The National Natural Science Foundation of China (61571073)

  • 摘要: 為解決 5G網(wǎng)絡(luò)切片間資源分配的問題，該文提出一種基于在線雙向拍賣 (ODA)的資源調(diào)度機制。該機制首先針對不同的業(yè)務(wù)需求和業(yè)務(wù)收益確定網(wǎng)絡(luò)切片的優(yōu)先級和單位資源報價；其次明確最大化網(wǎng)絡(luò)收益的目標建立線下單向拍賣模型；進一步，考慮資源的動態(tài)分配和回收利用，提出價格更新算法實時更新資源價格；最后，綜合線下單向拍賣機制和價格動態(tài)變化機制建立在線雙向拍賣模型，為切片動態(tài)分配資源。仿真結(jié)果表明，該機制在提高網(wǎng)絡(luò)收益的同時可以保證各切片用戶的QoS需求。
    Abstract: In order to solve the problem of resource allocation between 5G virtual network slice, a resource scheduling mechanism based on Online Double Auction (ODA) is proposed. Firstly, the priority of network slices and unit resource quotes are determined according to different traffic needs and traffic benefits. Then, to maximize the network revenue, an offline single auction model is established. Further, based on the resources dynamic allocation and recycling, the price-updating algorithm is proposed to update the resource price in real time. Finally, the offline single auction mechanism and the price update mechanism are combined to establish ODA model and allocate resources dynamically for the network slices. The simulation results show that the proposed mechanism can improve network revenue and guarantee the QoS requirement of each slice user.
    • HTML全文
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    [8] MASHAYEKHY L, NEJAD M M, and GROSU D. Physical machine resource management in clouds: A mechanism design approach[J]. IEEE Transactions on Cloud Computing, 2015, 3(3): 247-260. doi: 10.1109/TCC.2014.2369419.
    [9] SEMASINGHE P, MAGHSUDI S, and HOSSAIN E. Game theoretic mechanisms for resource management in massive wireless IoT systems[J]. IEEE Communications Magazine, 2017, 55(2): 121-127. doi: 10.1109/MCOM.2017.1600568CM.
    [10] KAMEL M I, LONG B L, et al. LTE wireless network virtualization: dynamic slicing via flexible scheduling[C]. IEEE Vehicular Technology Conference, Vancouver, Canada. 2014: 1-5. doi: 10.1109/VTCFall.2014.6966044.
    [11] SCIANCALEPORE V, SAMDANIS K, COSTA-PEREZ X, et al. Mobile traffic forecasting for maximizing 5G network slicing resource utilization[C]. IEEE Conference on Computer Communications, Atlanta, USA, 2017: 1-9. doi: 10.1109/INF OCOM.2017.8057230.
    [12] ZHU K and HOSSAIN E. Virtualization of 5G cellular networks as a hierarchical combinatorial auction[J]. IEEE Transactions on Mobile Computing, 2016, 15(10): 2640-2654. doi: 10.1109/TMC.2015.2506578.
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  • 文章訪問數(shù):  1302
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  • 被引次數(shù): 0
出版歷程
  • 收稿日期:  2017-09-22
  • 修回日期:  2018-03-23
  • 刊出日期:  2018-07-19

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