Buffer Occupancy-Based Transport to Reduce Flow Completion Time of Short Flows in Data Center Networks

Ahmed, Hasnain; Arshad, Muhammad Junaid

doi:10.3390/sym11050646

Cited by 6 publications

(4 citation statements)

References 28 publications

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“…The buffer occupancy-based transport layer protocol uses the buffer occupancy-based mechanism for congestion detection [26]. Two different thresholds are used to compute buffer occupancy at each node.…”

Section: Resource-based Congestion Control Protocolsmentioning

confidence: 99%

An Energy-Efficient Distributed Congestion Control Protocol for Wireless Multimedia Sensor Networks

Majeed

Malik²,

Abbas³

et al. 2022

Electronics

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Wireless multimedia sensor networks (WMSNs) generate a huge amount of multimedia data. Congestion is one of the most challenging open issues in WMSNs. Congestion causes low throughput, high packet loss and low energy efficiency. Congestion happens when the data carried by the network surpasses the available capacity. This article presents an energy-efficient distributed congestion control protocol (DCCP) to mitigate congestion and improve end-to-end delay. Compared to the other protocols, the DCCP protocol proposed in this article can alleviate congestion by intelligently selecting the best path. First, congestion is detected by using two congestion indicators. Second, each node aggregates the received data and builds a traffic congestion map. The traffic congestion map is used to calculate the best path. Therefore, the traffic is balanced on different routes, which reduces the end-to-end delay. Finally, a rate controller is designed to prevent congestion in the network by sending a congestion notification message to a source node. After receiving a congestion notification message, the source node immediately adjusts its transmission rate. Experimental results based on raspberry pi sensor nodes show that the proposed DCCP protocol significantly improves network performance and is superior to existing modern congestion control protocols.

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Section: Resource-based Congestion Control Protocolsmentioning

confidence: 99%

An Energy-Efficient Distributed Congestion Control Protocol for Wireless Multimedia Sensor Networks

Majeed

Malik²,

Abbas³

et al. 2022

Electronics

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“…Finally, in order to improve the performance on multi-homed nodes, the concurrent use of network interfaces was allowed in BATCP. A novel buffer occupancy-based transmission protocol (BOTCP) was presented in [21]. BOTCP presents a congestion signal based on buffer occupancy.…”

Section: Research Background and Related Workmentioning

confidence: 99%

“…Symmetry 2020, 12, 646 9 of 21 Therefore, after verifying and updating the actual measurement values, the mean square error P k of the estimate state will be reduced according to Equation (21).…”

Section: Calibration Processmentioning

confidence: 99%

Research of Wireless Congestion Control Algorithm Based on EKF

Wang¹,

Tang²,

Hong³

2020

Symmetry

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The random variation of bandwidth in wireless networks causes some significant challenges to the congestion control protocols based on bandwidth estimation. In this paper, a wireless congestion control scheme based on extended Kalman filtering and bandwidth (CSEKB) is proposed. The CSEKB can effectively perceive the bandwidth oscillation of wireless networks and distinguish the type of packet loss by establishing a noise perception factor. According to the congestion factor, the congestion control parameters are adjusted to correspondingly improve the performance of the wireless network. Moreover, the variation trend of the size of the congestion window presents a law of similar normal distribution curve, which has a certain degree of local symmetry. The CSEKB was implemented in Network simulator 3 (NS3) and compared with TCP Westwood (TCPW), CUBIC, and extended Kalman filtering-based bandwidth estimation (EBE). Through extensive simulation studies, the proposed CSEKB demonstrated the significant performance in wireless networks. First, the CSEKB can achieve congestion control based on the accurate prediction of available bandwidth, and improve average throughput and link utilization. In addition, the CSEKB has good fairness and friendliness compared with several other well-known congestion control methods.

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“…A data center (DC) is a large-scale internet facility consisting of thousands of interconnected servers for computing and storage, supporting large applications such as web search, social networking and cloud computing. With the increasing demand in recent years, more and more funds have been invested in optimizing the performance of data centers, which has led to a lot of research on improving network performance in industry and academia [1]. One way to improve the performance of a data center network (DCN) is traffic load balancing [2].…”

Section: Introductionmentioning

confidence: 99%

Sonum: Software-Defined Synergetic Sampling Approach and Optimal Network Utilization Mechanism for Long Flow in a Data Center Network

Tan

Cheng

et al. 2019

Applied Sciences

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Long flow detection and load balancing are crucial techniques for data center running and management. However, both of them have been independently studied in previous studies. In this paper, we propose a complete solution called Sonum, which can complete long flow detection and scheduling at the same time. Sonum consists of a software-defined synergetic sampling approach and an optimal network utilization mechanism. Sonum detects long flows through consolidating and processing sampling information from multiple switches. Compared with the existing prime solution, the missed detection rate of Sonum is reduced by 2.3%–5.1%. After obtaining the long flow information, Sonum minimizes the potential packet loss rate as the optimization target and then translates load balancing into an optimization problem of arranging a minimum packet loss path for long flows. This paper also introduces a heuristic algorithm for solving this optimization problem. The experimental results show that Sonum outperforms ECMP and Hedera in terms of network throughput and flow completion time.

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Buffer Occupancy-Based Transport to Reduce Flow Completion Time of Short Flows in Data Center Networks

Cited by 6 publications

References 28 publications

An Energy-Efficient Distributed Congestion Control Protocol for Wireless Multimedia Sensor Networks

An Energy-Efficient Distributed Congestion Control Protocol for Wireless Multimedia Sensor Networks

Research of Wireless Congestion Control Algorithm Based on EKF

Sonum: Software-Defined Synergetic Sampling Approach and Optimal Network Utilization Mechanism for Long Flow in a Data Center Network

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