ODRAD: An optical wireless DCN dynamic-bandwidth reconfiguration with AWGR and deep reinforcement learning

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Kassahun Geresu, Huaxi Gu, Meaad Fadhel, Wenting Wei, Xiaoshan Yu
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引用次数: 0

Abstract

The rapid growth of Data Center Network (DCN) traffic has brought new challenges, such as limited bandwidth, high latency, and packet loss to existing DCNs based on electrical switches. Because of its theoretically unlimited bandwidth and faster data transmission speeds, optical switching can overcome the problems of electrically switched DCNs. Additionally, numerous research works have been devoted to optical wired DCNs. However, static and fixed-topology DCNs based on optical interconnects significantly limit their flexibility, scalability, and reconfigurability to provide adaptive bandwidth for traffic with heterogeneous characteristics. In this study, we propose and conduct performance evaluations on a reconfigurable optical wireless DCN architecture based on distributed Software-Defined Networking (SDN), Deep Reinforcement Learning (DRL), Semiconductor Optical Amplifier (SOA), and Arrayed Waveguide Grating Router (AWGR). Our architecture is called ODRAD (which stands for Optical Wireless DCN Dynamic-bandwidth Reconfiguration with AWGR and Deep Reinforcement Learning). A Mininet simulation model is established to further verify the reconfigurability of the ODRAD network for various server scales. Based on experimental verification, ODRAD achieves an average end-to-end server latency of 5.2μs under a load of 99%. Compression results demonstrate a 17.36% improvement in packet rate latency performance compared to RotorNet and a 15.21% improvement compared to OPSquare at a load of 99% as the ODRAD network scales from 2,560 to 40,960 servers. Furthermore, ODRAD exhibits effective throughput across different routing protocols, DCN scales and loads.

ODRAD:利用 AWGR 和深度强化学习的光无线 DCN 动态带宽重新配置
数据中心网络(DCN)流量的快速增长给现有的基于电子交换机的 DCN 带来了新的挑战,如有限的带宽、高延迟和数据包丢失。由于光交换理论上具有无限的带宽和更快的数据传输速度,因此可以克服电交换 DCN 的问题。此外,许多研究工作都致力于光纤有线 DCN。然而,基于光互联的静态和固定拓扑 DCN 在为具有异构特性的流量提供自适应带宽方面的灵活性、可扩展性和可重构性受到了很大限制。在本研究中,我们提出了一种基于分布式软件定义网络(SDN)、深度强化学习(DRL)、半导体光放大器(SOA)和阵列波导光栅路由器(AWGR)的可重构光无线 DCN 架构,并对其进行了性能评估。我们的架构被称为 ODRAD(即利用 AWGR 和深度强化学习实现光学无线 DCN 动态带宽重配置)。为了进一步验证 ODRAD 网络在不同服务器规模下的可重构性,我们建立了 Mininet 仿真模型。根据实验验证,ODRAD 在 99% 的负载下实现了 5.2μs 的端到端服务器平均延迟。压缩结果表明,当 ODRAD 网络的服务器数量从 2,560 台扩展到 40,960 台时,在 99% 的负载条件下,与 RotorNet 相比,ODRAD 的数据包速率延迟性能提高了 17.36%,与 OPSquare 相比,提高了 15.21%。此外,ODRAD 在不同的路由协议、DCN 规模和负载下都表现出了有效的吞吐量。
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来源期刊
Optical Switching and Networking
Optical Switching and Networking COMPUTER SCIENCE, INFORMATION SYSTEMS-OPTICS
CiteScore
5.20
自引率
18.20%
发文量
29
审稿时长
77 days
期刊介绍: Optical Switching and Networking (OSN) is an archival journal aiming to provide complete coverage of all topics of interest to those involved in the optical and high-speed opto-electronic networking areas. The editorial board is committed to providing detailed, constructive feedback to submitted papers, as well as a fast turn-around time. Optical Switching and Networking considers high-quality, original, and unpublished contributions addressing all aspects of optical and opto-electronic networks. Specific areas of interest include, but are not limited to: • Optical and Opto-Electronic Backbone, Metropolitan and Local Area Networks • Optical Data Center Networks • Elastic optical networks • Green Optical Networks • Software Defined Optical Networks • Novel Multi-layer Architectures and Protocols (Ethernet, Internet, Physical Layer) • Optical Networks for Interet of Things (IOT) • Home Networks, In-Vehicle Networks, and Other Short-Reach Networks • Optical Access Networks • Optical Data Center Interconnection Systems • Optical OFDM and coherent optical network systems • Free Space Optics (FSO) networks • Hybrid Fiber - Wireless Networks • Optical Satellite Networks • Visible Light Communication Networks • Optical Storage Networks • Optical Network Security • Optical Network Resiliance and Reliability • Control Plane Issues and Signaling Protocols • Optical Quality of Service (OQoS) and Impairment Monitoring • Optical Layer Anycast, Broadcast and Multicast • Optical Network Applications, Testbeds and Experimental Networks • Optical Network for Science and High Performance Computing Networks
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