Distributed Resource Allocation Optimization in 5G Virtualized Networks
Distributed Resource Allocation Optimization in 5G Virtualized Networks
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DOI：
10.1109/jsac.2019.2894305
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发表时间：
2019-02
影响因子：
16.4
通讯作者：
Hassan Halabian
中科院分区：
文献类型：
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作者：
Hassan Halabian
网络功能虚拟化和端到端网络切片的概念是支持5G网络进行高效、动态的网络/服务部署和管理的两项有前途的技术。本文提出了一种异构云基础设施中5G虚拟网络的资源分配模型。在我们的模型中，每个网络片都有一个针对其每个虚拟网络功能的资源需求向量。我们首先考虑一个协同切片系统，将资源分配问题描述为一个凸优化问题，最大化整个系统的效用函数。通过在切片和数据中心之间形成资源拍卖，我们进一步介绍了资源分配问题的分布式解决方案。通过一个实例，我们展示了非协作切片的自私行为是如何影响系统的公平性能的。对于具有非协作切片的系统，我们基于占优资源公平的概念建立了一个新的资源分配问题，并提出了一个完全分布式的解决方案。仿真结果表明了结果的有效性，评估了分布式解的收敛，展示了协同切片对非协作切片的保护，并比较了最优方案和启发式方案的性能。
The concepts of network function virtualization and end-to-end network slicing are the two promising technologies empowering 5G networks for efficient and dynamic network/service deployment and management. In this paper, we propose a resource allocation model for 5G virtualized networks in a heterogeneous cloud infrastructure. In our model, each network slice has a resource demand vector for each of its virtual network functions. We first consider a system of collaborative slices and formulate the resource allocation as a convex optimization problem, maximizing the overall system utility function. We further introduce a distributed solution for the resource allocation problem by forming a resource auction between the slices and the data centers. By using an example, we show how the selfish behavior of non-collaborative slices affects the fairness performance of the system. For a system with non-collaborative slices, we formulate a new resource allocation problem based on the notion of dominant resource fairness and propose a fully distributed scheme for solving the problem. Simulation results are provided to show the validity of the results, evaluate the convergence of the distributed solutions, show protection of collaborative slices against non-collaborative slices and compare the performance of the optimal schemes with the heuristic ones.