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基于網絡切片的網絡效用最大化虛擬資源分配算法

唐倫,  張亞,  梁榮,  陳前斌

唐倫, 張亞, 梁榮, 陳前斌. 基于網絡切片的網絡效用最大化虛擬資源分配算法[J]. 電子與信息學報, 2017, 39(8): 1812-1818. doi: 10.11999/JEIT161322
引用本文: 唐倫, 張亞, 梁榮, 陳前斌. 基于網絡切片的網絡效用最大化虛擬資源分配算法[J]. 電子與信息學報, 2017, 39(8): 1812-1818. doi: 10.11999/JEIT161322
TANG Lun, ZHANG Ya, LIANG Rong, CHEN Qianbin. Virtual Resource Allocation Algorithm for Network Utility Maximization Based on Network Slicing[J]. Journal of Electronics & Information Technology, 2017, 39(8): 1812-1818. doi: 10.11999/JEIT161322
Citation: TANG Lun, ZHANG Ya, LIANG Rong, CHEN Qianbin. Virtual Resource Allocation Algorithm for Network Utility Maximization Based on Network Slicing[J]. Journal of Electronics & Information Technology, 2017, 39(8): 1812-1818. doi: 10.11999/JEIT161322

基于網絡切片的網絡效用最大化虛擬資源分配算法

doi: 10.11999/JEIT161322
基金項目: 

國家863計劃項目(2014AA01A701)，國家自然科學基金(61571073)

Virtual Resource Allocation Algorithm for Network Utility Maximization Based on Network Slicing

Funds: 

The National 863 Program of China (2014AA01A701), The National Natural Science Foundation of China (61571073)

  • 摘要: 為了實現(xiàn)網絡資源的動態(tài)分配，提高網絡資源利用率，滿足用戶業(yè)務多樣性帶來的切片網絡差異需求，該文提出一種基于網絡效用最大化的虛擬資源分配算法。該算法采用商業(yè)化模式將頻譜資源作為收益載體，并對不同切片網絡進行差異化定價。同時將計算資源和回程鏈路作為開銷，還考慮了切片網絡對計算資源和頻譜資源的差異性需求，最后以最大化網絡收益建立效用模型。并通過拉格朗日對偶分解設計了分布式迭代算法對效用模型進行求解。仿真結果表明，該算法提高了服務用戶比例，并使得網絡資源獲得最大收益。
    Abstract: To realize the dynamic allocation of network resources, improve the network resources utilization and meet the demand of the diverse networks, this paper proposes a virtual resource allocation algorithm based on network utility maximization. The spectrum resource is used as the revenue and the differentiated price is commercialized according to slicing networks. It also takes the computing resources and the backhaul as the cost, and also takes into account the different demands of the slicing network on the computing resources and spectrum resources. Finally, the utility model is established to maximize the network revenue. A distributed iterative algorithm is designed to solve the utility model by Lagrangian dual decomposition. The simulation results show that the algorithm improves the percentage of service users and maximizes the network revenue.
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出版歷程
  • 收稿日期:  2016-12-08
  • 修回日期:  2017-04-17
  • 刊出日期:  2017-08-19

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