PFDCT: An Enhanced Transport Layer Protocol for Precise Flow Control in Data Centers

Author:

Li Zhuo123,Wang Huiyan1,Yi Xiangdong1,Zhang Xinyi1,Wu Jiawen1ORCID,Zhang Yubin1,Luo Peng4,Liu Kaihua13

Affiliation:

1. School of Microelectronics, Tianjin University, Tianjin 300072, China

2. Peng Cheng Laboratory, Department of New Networks, Shenzhen 518055, China

3. Tianjin Key Laboratory of Imaging and Perception of Microelectronics Technology, Tianjin 300072, China

4. State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China

Abstract

This paper proposes an enhanced transport layer protocol for precise flow control in data centers, referred to as PFDCT, combining explicit rate control (priority scheduling) and implicit rate control (marking algorithm with dynamic threshold) innovatively, while satisfying the transmission requirements of each data flow. It enables multiple data flows to share the bandwidth fairly, which is rarely achieved by previous data transmission protocols. Our design stems from the observation that different packets in a data center network need to be processed differentially and that the accuracy of the feedback of the indication information to the link state will directly affect the effectiveness of the congestion control mechanism. Our tests show that PFDCT has lower network jitter, better fairness, and significant performance gains over existing proposals (DCTCP, ICTCP, and L2DCT) in terms of Flow Completion Time (FCT) and throughput on average. Furthermore, we discussed the impact of the marking algorithm with dynamic thresholds on the performance of PFDCT, and the results of the experiments show that the addition of the marking algorithm will further improve the performance of PFDCT in terms of packet loss rate, latency, and FCT.

Funder

the National Key R & D Program of China

the Key R & D projects of Hebei Province

the Peng Cheng Laboratory Project

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

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