MDTCP:面向电信云数据中心的实用多路径传输协议

Dejene Boru Oljira, Karl-Johan Grinnemo, A. Brunström, J. Taheri
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引用次数: 8

摘要

下一代网络(5G)旨在支持低延迟、高吞吐量、高可用性等要求严格的业务。电信运营商纷纷采用NFV (Network Functions Virtualization)技术实现网络功能虚拟化,部署在分布式云数据中心。将虚拟网络功能(VNFs)部署在离最终用户较近的地方,可以减少Internet延迟。但是,电信云数据中心中的网络拥塞可能导致延迟增加、网络利用率降低和吞吐量下降。现有的协议不能利用数据中心拓扑提供的多路径,例如DCTCP;需要进行重大架构更改,并面临部署方面的挑战,例如NDP;或增加短流程(如MPTCP)的流程完成时间。为了解决这个问题,我们提出了一种用于电信云数据中心的多路径传输,称为耦合多路径数据中心TCP, MDTCP。MDTCP改进了MPTCP子流,在队列溢出之前使用ECN信号对拥塞做出反应,从而降低了延迟并提高了网络利用率。MDTCP与模拟流量的评估表明,在大多数研究的流量场景中,与DCTCP和NDP相比,MDTCP的流量完成时间相当或更低。仿真结果表明,MDTCP可以为电信业务提供更好的吞吐量,同时在数据中心中与MPTCP一样公平。
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MDTCP: Towards a Practical Multipath Transport Protocol for Telco Cloud Datacenters
The next-generation networks (5G) aims to support services that demand strict requirements such as low-latency, high throughput, and high availability. Telecom operators have adopted Network Functions Virtualization (NFV) to virtualize the network functions and deploy at distributed cloud datacenters. Deploying virtual network functions (VNFs) close to the end-user can reduce Internet latency. However, network congestion in telco cloud datacenters can result in increased latency, low network utilization and a drop of throughput. The existing protocols are not capable of utilizing the multiple paths offered by datacenter topologies e.g., DCTCP; require a major architectural change and face deployment challenges e.g., NDP; or increase flow completion times of short flows e.g., MPTCP. To address this, we propose a multipath transport for telco cloud datacenters called coupled multipath datacenter TCP, MDTCP. MDTCP evolves MPTCP subflows to employ ECN signals to react to congestion before queue overflow, offering both reduced latency and higher network utilization. The evaluation of MDTCP with simulated traffic indicates comparable or lower flow completion times compared with DCTCP and NDP for most of the studied traffic scenarios. The simulation results imply that MDTCP could give better throughput for telco traffic and at the same time be as fair as MPTCP in datacenters.
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