ECN Marking With Micro-Burst Traffic: Problem, Analysis, and Improvement

Shan, Danfeng; Ren, Fengyuan

doi:10.1109/tnet.2018.2840722

Cited by 24 publications

(13 citation statements)

References 39 publications

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“…Several solutions have been proposed to mitigate microbursts, particularly in data center networks [6]- [11]. These solutions include transmission control protocol (TCP) pacing mechanisms to avoid TCP incast in SWs, predictive packet drop mechanisms to slow down the transmission rate of TCP flows, and explicit congestion notification (ECN) marking schemes from switches to servers.…”

Section: Related Workmentioning

confidence: 99%

Cooperated Traffic Shaping With Traffic Estimation and Path Reallocation to Mitigate Microbursts in IoT Backhaul Network

et al. 2021

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Section: Related Workmentioning

confidence: 99%

Cooperated Traffic Shaping With Traffic Estimation and Path Reallocation to Mitigate Microbursts in IoT Backhaul Network

et al. 2021

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“…HULL [10] leverages a phantom queue(the bandwidth is smaller than the real queue) and uses a static ECN threshold according to the instantaneous queue length of the phantom queue. CEDM [23] further improves the DCTCP [1] and combines enqueue and dequeue marking by using two static thresholds.…”

Section: Single Queue Schemesmentioning

confidence: 99%

A-ECN Minimizing Queue Length for Datacenter Networks

et al. 2020

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Recently, Explicit Congestion Notification (ECN) has been leveraged by DCTCP and its successive protocols to reduce the latency in datacenters. However, we find that DCTCP may induce the queue underflow and high latency in multi-queue scenarios and even single-queue environments. Our analysis concludes that the problem is caused by improper ECN marking thresholds of DCTCP. In this paper, an Adaptive ECN (A-ECN) marking scheme is proposed to enhance the performance of the ECN marking scheme of DCTCP.A-ECN is designed to minimize queue length as well as keeping high link utilization. More importantly, A-ECN can adaptively adjust ECN marking thresholds in different scenarios to achieve good generality. Therefore, network operators can directly deploy A-ECN in various environments regardless of underlying bandwidth, packet schedulers and the number of concurrent flows. At last, the testbed evaluation results show that A-ECN can minimize queue length and maintain high throughput. The flow completion times (FCT) for short flows could be reduced by up to 40% compared to the ECN marking scheme of DCTCP.

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“…Therefore, the shared-memory architecture is widely used in single-chip switches and the front-end linecards in large-scale switching systems. 6,7 Burst traffic is a common traffic pattern in modern IP networks [8][9][10][11] especially in data centers. 12,13 Since distributed parallel computing is often used in the servers of data centers, when the calculation results of multiple nodes converge to the same destination node, the burst traffic will appear.…”

Section: Background and Motivationmentioning

confidence: 99%

“…Burst traffic is a common traffic pattern in modern IP networks especially in data centers . Since distributed parallel computing is often used in the servers of data centers, when the calculation results of multiple nodes converge to the same destination node, the burst traffic will appear.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis and hardware implementation of a nearly optimal buffer management scheme for high‐performance shared‐memory switches

Liu

Pan

et al. 2020

Int J Communication

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Summary Burst traffic is a common traffic pattern in modern IP networks, and it may lead to the unfairness problem and seriously degrade the performance of switches and routers. From the perspective of switching mechanism, the majority of commercial switches adopt the on‐chip shared‐memory switching architecture, and high‐speed packet buffer with efficient queue management is required to deal with the unfairness and congestion problem. In this paper, the performance of a shared‐private buffer management scheme is analyzed in detail. In the proposed scheme, the total memory space is split into shared area and private area. Each output port has a private memory area that cannot be used by other ports. The shared area is completely shared among all output ports. A theoretical queuing model of the proposed scheme is formulated, and closed‐form formulas for multiple performance parameters are derived. Through the numerical studies, we demonstrate that a nearly optimal buffer partition policy can be obtained by setting an equally small amount of private area for each queue. This work is validated by simulations as well as hardware experiments. Software simulations show that the proposed scheme performs better than existing methods, and packet dropping caused by burst traffic can be significantly reduced. Besides, a prototype of the buffer management module is implemented and evaluated in field programmable gate array platform. The evaluation shows that the proposed scheme can ensure the efficiency and fairness while keeping a high throughput in real workload.

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ECN Marking With Micro-Burst Traffic: Problem, Analysis, and Improvement

Cited by 24 publications

References 39 publications

Cooperated Traffic Shaping With Traffic Estimation and Path Reallocation to Mitigate Microbursts in IoT Backhaul Network

Cooperated Traffic Shaping With Traffic Estimation and Path Reallocation to Mitigate Microbursts in IoT Backhaul Network

A-ECN Minimizing Queue Length for Datacenter Networks

Performance analysis and hardware implementation of a nearly optimal buffer management scheme for high‐performance shared‐memory switches

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