Fine-Grained Congestion Control for Multipath TCP in Data Center Networks

Ye, Jin; Feng, Luting; Xie, Ziqi; Huang, Jiawei; Li, Xiaohuan

doi:10.1109/access.2019.2902860

Cited by 12 publications

(5 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…J. Zhao et al [9] proposed an extended MPTCP solution to improve the experience quality of Dynamic Adaptive Streaming over HTTP (DASH). J. Ye et al [10] proposed an improved MPTCP in Data Center Networking (DCN) to achieve the dual goals of low latency and high throughput. The development of these draft standards and application specifications provides a theoretical basis for the large-scale application of MPTCP in the future Internet.…”

Section: Research Trends In Standard Formulationmentioning

confidence: 99%

Focus on Multipath TCP: Introduction, Benefits and Future Research Trends

Ji¹,

Ji²,

Wu³

et al. 2021

ReBICTE

View full text Add to dashboard Cite

With the rapid development of mobile video technology and the increasing demand for online videoapplications, people have higher demands on the transmission performance and user experience ofreal-time Internet applications such as video. Multipath transmission is considered as an ideal solutionto improve video transmission performance and user experience quality in wireless networkenvironment. In recent years, the academic research on multipath transmission protocol focuses ondata scheduling, energy consumption optimization, fairness, congestion control and so on, but theresearch on network security is insufficient, especially the research on the anti-damage analysis androbustness optimization of multipath transmission. Based on a comprehensive analysis of the latestresearch trends, this paper makes a beneficial exploration of the future development of end-to-endmultipath transmission over the Internet based on Multipath TCP (MPTCP).

show abstract

Section: Research Trends In Standard Formulationmentioning

confidence: 99%

Focus on Multipath TCP: Introduction, Benefits and Future Research Trends

Ji¹,

Ji²,

Wu³

et al. 2021

ReBICTE

View full text Add to dashboard Cite

show abstract

“…And he proposed an adaptive multipath congestion control mechanism by switching multi-path flows and single-path flows adaptively. J. Ye et al [21] proposed an enhanced MPTCP protocol, which adjusted the time granularity of the congestion detection and control under a different number of subflows and achieved lower latency for small flows and higher throughput for large flows. Kimura and Loureiro [22] proposed a multipath congestion control algorithm adjusts the sending operation of all subflows in a coupled fashion in order to achieve various objectives, such as friendliness, responsiveness, throughput improvement and congestion balance.…”

Section: Related Workmentioning

confidence: 99%

Transmission Control of MPTCP Incast Based on Buffer Balance Factor Allocation in Data Center Networks

et al. 2019

View full text Add to dashboard Cite

The multi-home host will become increasingly popular within IPv6, especially in data center Fat-tree networks. MPTCP protocol is designed to transmit over multipath load, providing users with transparent multi-path utilization and high data transmission rate. As the characteristics of Many-to-one pattern and a large number of short bursts, all of flows collide on the shared link and same output port, creating an inevitable bottleneck collapse during transmission process. In order to avoid the collapse of throughput and improve the throughput of the receiving end, the MPTCP protocol in the data center network should have the characteristics of minimal packet loss and rapid convergence. In this paper, we focus on throughput collapse avoidance and design a MPTCP Transmission Control method based Queuing Cache Balance Factor called QCBF in Multi-homed FatTree topology. This method can realize the sub-flows are allocated by the size of ToRs cluster cache. We first propose a buffer pool balance factor and build a ToRs cluster cache balance queue. Then according to ToRs cluster cache allocation to calculate a sub-flow congestion window value. QCBF not only avoids the MPTCP Incast problem effectively, but also makes full use of the aggregate bandwidth. Based the software NS3, the experiment results of experiment show the QCBF transmission control method could avoid loss of packet, and achieve the load balance of MPTCP data transmission.

show abstract

“…Then, the core layer forwards the requests to the destination server across multiple paths through the aggregate and access layers. Computations by servers complete applications' requests; thus, massive requests require high-performance computing servers [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of a Graph-Theoretic Load Balancing Method for Data Centers

AlShammari¹,

Mohammed²

2020

IJACSA

View full text Add to dashboard Cite

Modern data centers can process a massive amount of data in a short time with minimal errors. Data center networks (DCNs) use equal-cost, multi-path topologies to deliver split flows across alternative paths between the core layer and hosted servers, which could lead to significant overload if path scheduling is inefficient. Thus, distributing incoming requests among these paths is crucial for providing higher throughput and protection against link or switch failures. Several approaches have been proposed for path selection, mainly relying on round-robin and least-congested methods. In this paper, we propose a loadbalancing method based on betweenness centrality to improve the overall performance of a data center in terms of throughput, delay, and energy consumption. For evaluation, we compare our method with baseline methods of different DCN topologies: fattree, DCell, and BCube. On average, the evaluation results show that our method outperforms the others. It increases throughput by 202% and 33% while reducing delay by 20% and 22%, and energy consumption by 40% and 41% compared to the roundrobin and least-congested methods, respectively.

show abstract

Fine-Grained Congestion Control for Multipath TCP in Data Center Networks

Cited by 12 publications

References 35 publications

Focus on Multipath TCP: Introduction, Benefits and Future Research Trends

Focus on Multipath TCP: Introduction, Benefits and Future Research Trends

Transmission Control of MPTCP Incast Based on Buffer Balance Factor Allocation in Data Center Networks

Performance Analysis of a Graph-Theoretic Load Balancing Method for Data Centers

Contact Info

Product

Resources

About