A MPTCP Scheduler Combined With Congestion Control for Short Flow Delivery in Signal Transmission

Tang, Wensheng; Fu, Yunshan; Dong, Pingping; Yang, Wenjun; Yang, Bo; Xiong, Naixue

doi:10.1109/access.2019.2933880

Cited by 11 publications

(5 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the centralized architecture, a controller manages the connected network devices to concentrate the load-balancing work on the data plane. In the distributed architecture, multiple controllers are used to exchange and connect to each device, or studies such as Refs [24,25] improve their goals by using MPTCP from the perspective of network protocol.…”

Section: Flow Schedulingmentioning

confidence: 99%

Mixed-Flow Load-Balanced Scheduling for Software-Defined Networks in Intelligent Video Surveillance Cloud Data Center

et al. 2022

View full text Add to dashboard Cite

As the large amount of video surveillance data floods into cloud data center, achieving load balancing in a cloud network has become a challenging problem. Meanwhile, we hope the cloud data center maintains low latency, low consumption, and high throughput performance when transmitting massive amounts of data. OpenFlow enables a software-defined solution through programing to control the scheduling of data flow in the cloud data center. However, the existing scheduling algorithm of the data center cannot cope with the congestion of the network center effectively. Even for some dynamic scheduling algorithms, adjustments can only be made after congestion occurs. Hence, we propose a proactive and dynamically adjusted mixed-flow load-balanced scheduling (MFLBS) algorithm, which not only takes into account the different sizes of flows in the network but also maintains maximum throughput while balancing the load. In this paper, the MFLBS problem was formulated, along with a set of heuristic algorithms for real-time feedback and adjustment. Experiments with mesh and tree network models show that our MFLBS is significantly better than other dynamic scheduling algorithms, including one-hop DLBS and static scheduling algorithm FCFS. The MFLBS algorithm can effectively reduce the delay of small flows and average delay while maintaining high throughput.

show abstract

Section: Flow Schedulingmentioning

confidence: 99%

Mixed-Flow Load-Balanced Scheduling for Software-Defined Networks in Intelligent Video Surveillance Cloud Data Center

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Meanwhile, there are also some studies that combine MPTCP congestion control and scheduler together to improve transmission performance. For example, Tang et al [ 48 ] proposed a solution to improve the transmission efficiency of short TCP flows. The main idea is to create a path cluster with similar characters based on RTT.…”

Section: Congestion Control and Schedulermentioning

confidence: 99%

A Brief Review of Multipath TCP for Vehicular Networks

Chao

Yoshinaga

et al. 2021

Sensors

View full text Add to dashboard Cite

Multipath TCP (MPTCP) is one of the most important extensions to TCP that enables the use of multiple paths in data transmissions for a TCP connection. In MPTCP, the end hosts transmit data across a number of TCP subflows simultaneously on one connection. MPTCP can sufficiently utilize the bandwidth resources to improve the transmission efficiency while providing TCP fairness to other TCP connections. Meanwhile, it also offers resilience due to multipath data transfers. MPTCP attracts tremendous attention from the academic and industry field due to the explosive data growth in recent times and limited network bandwidth for each single available communication interface. The vehicular Internet-of-Things systems, such as cooperative autonomous driving, require reliable high speed data transmission and robustness. MPTCP could be a promising approach to solve these challenges. In this paper, we first conduct a brief survey of existing MPTCP studies and give a brief overview to multipath routing. Then we discuss the significance technical challenges in applying MPTCP for vehicular networks and point out future research directions.

show abstract

“…Figure 11 shows the average RTT of LTE and Wi-Fi subflows observed during the uplink MPTCP experiment using Setup 1, whereas Table 3 presents the numerical RTT values and their corresponding standard deviation for the testbed (TB) and simulator (Sim). The figure depicts a clear difference in the RTT values, especially for the LTE interface, between the simulator and testbed, despite using the transmitter-receiver distance in the simulator that leads to recording the same LTE MCS and Wi-Fi signal at the receiver as the testbed following Equations (11)- (18) for the LTE network and Equation (19) (with Yans model) for the Wi-Fi network. Indeed, the difference in the average RTT values between subflows has a direct impact on the performance of MPTCP.…”

Section: Mptcp Rttmentioning

confidence: 99%

“…They utilize the ns-3 simulator to evaluate the goodput performance of MPTCP with the proposed congestion control method. In order to improve the performance of short flows in MPTCP, the authors of [ 18 ] propose a flow-based transmission optimization algorithm for MPTCP. They validate the proposed algorithm using ns-3 computer simulations.…”

Section: Related Workmentioning

confidence: 99%

On the Fidelity of NS-3 Simulations of Wireless Multipath TCP Connections

Prakash

Abdrabou

2020

Sensors

View full text Add to dashboard Cite

The multipath transmission control protocol (MPTCP) is considered a promising wireless multihoming solution, and the 3rd generation partnership project (3GPP) includes it as a standard feature in the fifth-generation (5G) networks. Currently, ns-3 (Network Simulator-3) is widely used to evaluate the performance of wireless networks and protocols, including the emerging MPTCP protocol. This paper investigates the fidelity of the Linux kernel implementation of MPTCP in the ns-3 direct code execution module. The fidelity of MPTCP simulation is tested by comparing its performance with a real Linux stack implementation of MPTCP using a hardware testbed for two different setups. One setup emulates the existence of a bottleneck link between the sending and receiving networks, whereas the other setup does not have such a bottleneck. The fidelity of ns-3’s simulation is tested for four congestion control algorithms, namely Cubic, linked-increases algorithm (LIA), opportunistic LIA (OLIA) and wVegas for relatively short and long data flows. It is found that the uplink MPTCP throughput performance exhibited by the ns-3 simulator matches the hardware testbed results only if the flows are long-lived and share no common bottleneck link. Likewise, the MPTCP throughput achieved during a downlink scenario using the ns-3 simulator and the hardware testbed are close to each other across all algorithms except wVegas regardless of the flow size if there is no bottleneck link. Moreover, it is observed that the impact of LTE handover on MPTCP throughput is less significant in the simulator than the real hardware testbed, and it is setup-dependent.

show abstract

A MPTCP Scheduler Combined With Congestion Control for Short Flow Delivery in Signal Transmission

Cited by 11 publications

References 31 publications

Mixed-Flow Load-Balanced Scheduling for Software-Defined Networks in Intelligent Video Surveillance Cloud Data Center

Mixed-Flow Load-Balanced Scheduling for Software-Defined Networks in Intelligent Video Surveillance Cloud Data Center

A Brief Review of Multipath TCP for Vehicular Networks

On the Fidelity of NS-3 Simulations of Wireless Multipath TCP Connections

Contact Info

Product

Resources

About