End-to-end congestion control mechanisms in 5G networks: from device to data center

5G网络中的端到端拥塞控制机制：从设备到数据中心

• 批准号: 498888-2016
• 负责人: Elbiaze, Halima
• 金额: $ 6.36万
• 依托单位: Université du Québec à Montréal
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=607033
• 关键词: End; end; congestion; control; mechanisms

Data centers are typically built on Ethernet networks to benefit from low cost of Ethernet devices. However, Ethernet suffers from crucial traffic engineering capability shortage in terms of data packet loss and latency while consolidating servers in dense data centers needs careful resource management. On the other hand, the combination of cloud computing with mobile ad-hoc networks in 5G will clearly build new prevailing networks by supporting a large number of different bandwidth-hungry applications with bursting data, such as real-time search and data analysis. Furthermore, 5G networks are expected to provide exponentially more capacity, lower latency, ubiquitous connectivity, as well as increased reliability and availability. The erratic property of data center traffic makes 5G requirements quite challenging and necessitates the design of innovative congestion control mechanisms. Hence, the ultimate goal is to propose an end-to-end congestion control solution for 5G networks, from data center end-host to end-users. The objective of this UQAM-NSERC-Prompt Québec collaborative project between is to improve network bandwidth sharing between hosts in data centers, by proposing innovative congestion control schemes with minimal modifications of commodity switches hardware. Thus, we are proposing to investigate different congestion control approaches seemly to the 5G networks paradigm. We propose the design and the study of new Ethernet Fabric congestion control schemes involving different components of data centers (Hosts, switches). We are also proposing transport layer enhancement to build a comprehensive end-to-end congestion control in 5G networks solution. Furthermore, to assess our proposed congestion control schemes, we are using rigorous performance evaluation methods. Indeed, we will build a web-scale data center network simulator to be used at the first phase of performance evaluation. Afterward, a Linux-based network emulator will be developed to perform more realistic tests and experimentations. Also, our proposed modification involving the switch will be implemented and tested in a FPGA environment.

数据中心通常建立在以太网网络上，以受益于以太网设备的低成本。然而，以太网在数据包丢失和延迟方面存在关键的流量工程能力不足，而在密集的数据中心中整合服务器需要仔细的资源管理。另一方面，云计算与5G中的移动的自组织网络相结合，显然将通过支持大量不同的具有爆发性数据的带宽需求应用（如实时搜索和数据分析）来构建新的流行网络。此外，预计5G网络将提供指数级的容量、更低的延迟、无处不在的连接以及更高的可靠性和可用性。数据中心流量的不稳定性使得5G需求非常具有挑战性，需要设计创新的拥塞控制机制。因此，最终目标是为5G网络提出从数据中心终端主机到终端用户的端到端拥塞控制解决方案。UQAM-NSERC-Prompt Québec合作项目的目标是通过提出创新的拥塞控制方案，以最小的商品交换机硬件修改来改善数据中心主机之间的网络带宽共享。因此，我们建议研究不同的拥塞控制方法，以适应5G网络的范例。我们提出了新的以太网结构拥塞控制方案的设计和研究，涉及数据中心的不同组件（交换机，交换机）。我们还提出了传输层增强，以在5G网络解决方案中构建全面的端到端拥塞控制。此外，为了评估我们提出的拥塞控制方案，我们使用严格的性能评估方法。事实上，我们将构建一个Web规模的数据中心网络模拟器，用于性能评估的第一阶段。之后，将开发一个基于Linux的网络仿真器来执行更真实的测试和实验。此外，我们提出的修改涉及的开关将在FPGA环境中实现和测试。