Proactive Transport With High Link Utilization Using Opportunistic Packets in Cloud Data Centers

IF 9.2 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jinbin Hu;Jiawei Huang;Zhaoyi Li;Yijun Li;Shuying Rao;Wenchao Jiang;Kai Chen;Jianxin Wang;Tian He
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Abstract

To meet the stringent demanding low latency and high throughput of cloud datacenter applications, recent receiver-driven transport protocols transmit only one packet once receiving each credit packet from the receiver to achieve ultra-low queueing delay. However, the round-trip time variation and the highly dynamic background traffic significantly deteriorate the performance of receiver-driven transport protocols, resulting in under-utilized bandwidth. This article designs a simple yet effective solution called RPO, which retains the advantages of receiver-driven transmission while efficiently utilizing the available bandwidth. Specifically, RPO rationally uses low-priority opportunistic packets to ensure high network utilization without increasing the queueing delay of high-priority normal packets. Furthermore, to tackle the queueing buildup due to line-rate transmission in the first RTT, we design a selective dropping mechanism called SDM to help the majority of small flows complete within only one RTT by prioritizing the first-RTT bursty packets over the packets triggered by grants. We implement RPO in Linux hosts with DPDK. The experimental results show that RPO significantly improves the network utilization by up to 35% over the state-of-the-art schemes, without introducing additional queueing delay. Moreover, RPO integrated with SDM reduces the AFCT of small flows by up to 45% compared with RPO integrated with Aeolus.
在云数据中心中利用机会数据包实现高链路利用率的主动传输
为了满足云数据中心应用对低延迟和高吞吐量的严格要求,最近的接收方驱动的传输协议在接收到来自接收方的每个信用包时只发送一个数据包,以实现超低的排队延迟。然而,往返时间的变化和高度动态的后台流量显著降低了接收端驱动传输协议的性能,导致带宽利用率不足。本文设计了一种简单而有效的RPO解决方案,它保留了接收机驱动传输的优点,同时有效地利用了可用带宽。RPO在不增加高优先级正常报文排队延迟的前提下,合理使用低优先级机会报文,保证较高的网络利用率。此外,为了解决由于第一个RTT中的线速率传输而导致的排队积累,我们设计了一种称为SDM的选择性丢弃机制,通过优先处理第一个RTT突发数据包而不是由授予触发的数据包,来帮助大多数小流在一个RTT内完成。我们使用DPDK在Linux主机上实现RPO。实验结果表明,在不引入额外排队延迟的情况下,RPO显著提高了网络利用率,最高可达35%。此外,与集成了Aeolus的RPO相比,集成了SDM的RPO可将小流量的AFCT降低45%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Mobile Computing
IEEE Transactions on Mobile Computing 工程技术-电信学
CiteScore
12.90
自引率
2.50%
发文量
403
审稿时长
6.6 months
期刊介绍: IEEE Transactions on Mobile Computing addresses key technical issues related to various aspects of mobile computing. This includes (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest span a wide range, covering aspects like mobile networks and hosts, mobility management, multimedia, operating system support, power management, online and mobile environments, security, scalability, reliability, and emerging technologies such as wearable computers, body area networks, and wireless sensor networks. The journal serves as a comprehensive platform for advancements in mobile computing research.
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