DIRECT: Distributed Cross-Domain Resource Orchestration in Cellular Edge Computing
DIRECT: Distributed Cross-Domain Resource Orchestration in Cellular Edge Computing
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DOI：
10.1145/3323679.3326516
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发表时间：
2019-07
期刊：
影响因子：
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通讯作者：
Qiang Liu;Tao Han
中科院分区：
文献类型：
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作者：
Qiang Liu;Tao Han
网络切片和边缘计算是5G中垂直行业实现计算密集型应用的关键技术。我们将具有边缘计算能力的蜂窝网络定义为蜂窝边缘计算。本文研究了蜂窝边缘计算中动态网络切片的跨域资源编排解决方案。基础研究面临的挑战是，在具有许多基站和分布式边缘服务器的网络中，难以对切片性能与来自多个技术领域的资源之间的关系进行建模。为了解决这一挑战，我们开发了一种分布式跨域资源编排（DIRECT）协议，该协议优化了跨域资源编排，同时提供了网络切片之间的性能和功能隔离。DIRECT的核心部分是一个基于ADMM方法和一种新的学习辅助优化方法的分布式跨域资源编排算法。所提出的资源编排算法有效地编排多域资源，而不需要网络切片的性能模型。我们在一个基于OpenAirInterface LTE和CUDA GPU计算平台设计的小规模蜂窝边缘计算原型中开发并实现了DIRECT协议。通过实验和网络仿真验证了DIRECT的性能。
Network slicing and edge computing are key technologies to enable compute-intensive applications for vertical industries in 5G. We define cellular networks with edge computing capabilities as cellular edge computing. In this paper, we study the cross-domain resource orchestration solution for dynamic network slicing in cellular edge computing. The fundamental research challenge is from the difficulty in modeling the relationship between the slice performance and resources from multiple technical domains across the network with many base stations and distributed edge servers. To address this challenge, we develop a distributed cross-domain resource orchestration (DIRECT) protocol which optimizes the cross-domain resource orchestration while providing the performance and functional isolations among network slices. The main component of DIRECT is a distributed cross-domain resource orchestration algorithm which is designed by integrating the ADMM method and a new learning-assisted optimization approach. The proposed resource orchestration algorithm efficiently orchestrates multi-domain resources without requiring the performance model of the network slices. We develop and implement the DIRECT protocol in a small-scale prototype of cellular edge computing which is designed based on OpenAirInterface LTE and CUDA GPU computing platforms. The performance of DIRECT is validated through both experiments and network simulations.